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Top 20 Data Visualization Tools

Why Data Visualization?Data visualization in layman’s language describes any determined attempt to help people understand the significance of data by placing it in a visual context. The analytics is presented visually so that the decision-makers can grasp difficult concepts or identify new patterns in a short span of time. When something becomes too difficult to understand, then data visualization comes into the picture which simplifies everything to a concept that can be easily grasped. Data visualization basically puts the complex data into a graphical format, allowing the user to easily understand the state of business and identify patterns to bolster successful strategies. It also Identifies and improves the areas that need attention immediately. It gives better clarification on which all factors influence customer behavior. It helps to understand the product positioning in a better way. Predicts the sales volume quickly.Human eyes are more reactive to colors and patterns as compared to text, this is another reason why data visualization is getting more attention.  We can easily figure out the difference in colors, shapes because of human nature. It is human nature to quickly identify the trends by looking at graphs and figures. Now we can understand the need for good visualization tools in the world of a deluge of data. In big enterprises where we have different data sources that are also stored in different, it is very critical for a business to have some tool. which can extract data from different sources and present in some visuals which help the business to take strategic decisions based on charts. In Big data world, Data visualization tool has become an integral part of the technology stack of any organization.Let's have a look at the below dashboard where we have presented some stats for Brazil using one of the popular data visualization tools Tableau. This dashboard is dependent on various data sources and data points but government agencies would not be able to calculate some important indexes by just looking at different data sources. Their job has been made easier by data visualization tools.Data Visualization involves a Seven step processAcquire: Understanding and collecting the data that we are trying to visualize, including its size and uniqueness in a particular column from a file on a disk or a source over a network.Parse: Determining the data that we are trying to visualize and also the kind of information we want to communicate through a proper structure and arranging them into proper categories.Filter: Identifying the most informative indicator and separating the data along with filtering them basis the necessity.Mine: Applying the data in mathematical context through statistics or data mining.Represent: This step involves choosing the basic visual model, such as a bar graph, list, chart or a tree.Refine: This step emphasizes on improving the basic representation to make it clearer and more visually engaging for the viewer. It also involves the use of different color, sizes, scales, shapes, and labels to grab attention to the key messagesInteract: The final step involves the methods of manipulating the data and also keeping control over what features need to be visible.On the basis the statistics from Forbes, the top seven data visualization tools preferred by the users are explained below in a set pattern in order to have a better understanding of these tools :1. TableauTableau is the master of data visualization software with a large customer base of 57000 and more majorly because of its simplicity of use and ability to provide interactive visualizations far beyond the capability of other general BI solutions. The ability of Tableau in integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP, and Teradata help them in managing huge data along with fast-changing datasets that are used in Big Data operations, including artificial intelligence and machine learning applications. Efforts have been put in for research and testing enabling Tableau to create graphics and visualizations efficiently making them feasible for humans to understand.Here are the Pros & Cons Of Using Tableau:Pros:Excellent visualization abilities.Ease at use.High-quality performance.Feasibility to connect with multiple data sources.Informative community and forum.Responsive on Smartphones as well.Cons:Very expensive and inflexible market cost.For scheduling and auto-refresh of reports - NO OPTIONS AVAILABLE.Restriction on visual imports.Formatting is difficult in the case of the column’s data.Cost: $70 USD/user/month billed annually.Open-Source/Licensed: Licensed. It has a free trial available.2. QlikViewQlikview tool is another major player and Tableau’s biggest competitor with a clientele of around 40,000 customers among 100 countries. The most appreciable feature of this tool is highly customizable set. It also has a wide range of features as it is a valuable advantage. Along with data visualization as one of its key components, it also offers powerful business intelligence, analytics and enterprise reporting capabilities. Qlik Sense,a sister package of Qlikview is used for handling data exploration and discovery.Pros:User-Friendly Tool.Simple and Hassle-free maintenance.Many attractive and colorful data visualization options available.Can launch both direct and indirect data searches.Cost-effective.Cons:Inefficient in real-time data analysis.Limits related to RAMNon-reliable and unsatisfactory customer support.Lacks the modern interface for eg: Drag and drop.Cost: $15 USD/user/month billed annually.Open-Source/Licensed: Licensed. It has a free trial available.3. Power BI:It is Microsoft offering in data visualization. It is basically a  business analytics service that delivers insights to quick and fast decisions. Their visuals prove to be stunning and can be shared with other end-users on any of the devices. Visually exploring and analyzing data on-premises and in the cloud—all in one view.ProsIt is very easy to use and business analyst can create dashboards with very ease. There is no specialized technical support required to use power BI.The seamless integration with existing application makes it very useful. We can easily create a rich personalized dashboard with enterprise-level customization.The underlying data on which dashboards are created can be easily set for auto-refresh and allow users to publish latest reports securely.The Power BI comes with two variants, on-premise, and cloud offerings. There is no memory and speed constraint due to the cloud offering of Microsoft. Due to cloud offerings data is easily retrievable and analysis is also completed in quick time.It has inbuilt support for integration with MS excel.Due to coming from Microsoft family, it is compatible with Excel, Azure and Microsoft SQL Server.It supports a broad range of  backend databases like Excel, SQL Server, Access, Azure, Adobe Analytics, Github, Google Analytics, Oracle, PostgreSQL, Salesforce, Teradata, and so onConsThe power BI does not support records having a size greater than 250 MB.The power BI can work with single dataset at one point. It can not work with multiple datasets.There is also a limitation on dataset size. The maximum size of dataset supports in Power BI is 1 GB.The performance is not good with a large amount of data if we compare with some top data visualization tools. Although cloud offerings are much better than on-premises.The pricing plan :There are three pricing plans for Power BI:Power BI Desktop: It is free for single-user usage and includes features like data cleaning and preparation, custom visualisations and allowing users to publish reports to the Power BI service.Power Bi Pro: This plan costs $9.99 per user every month along and comes with data collaboration, data governance, building dashboards with a 360-degree real-time view, and allows the user to publish reports anywhere. It is free for the first 60 days after which you will need to buy the subscription.Power BI Premium: The premium plan starts at $4995 a month for every dedicated cloud compute and storage resource.4. FusionchartsWidely-recommendable, charting and visualization package based on Javascript. It has established itself as one of the most popularly used products of its kind in the paid-for market. It has the ability to frame 90 different types of charts and can integrate with a large number of platforms and frameworks giving a great deal of flexibility. The most important feature of FusionCharts that has made it popular in the market is to not to start each new visualization from scratch. Rather the users can pick from a range of “live” example templates by simply plugging in their own data sources as and when required.Pros:Active community.Supportive Helpdesk.customized for unique and specific implementations.Integration with most of the platforms is easier.Easily integrate with most of the platforms.Cons:Font and resizing are the areas of concern.Very expensive solution.Not very easy to set-up.The Interface is a little outdated.Cost: $497 USD/user/month billed annually.Open-Source/Licensed: Licensed.5. HighchartsLike FusionCharts this also runs based on the Javascript API and integrates easily with jQuery. Research suggests that its website claims to be used by 72 of the world’s 100 largest companies. It is often especially chosen when a fast and flexible solution needs to be rolled out, with a minimum need for specialist data visualization training before it can be put to work. The key to success of this API is its focus on cross-browser support which commonly means anyone can view and run its interactive visualizations. This unique feature is not available even in newer platforms.Pros:Customization can be done readily and easily.The graphs look attractive.A variety of options for charts are available..Easy and flexible to use.Cost: $430 USD/user/month billed annually.Open-Source/Licensed: Licensed.6. Data WrapperDatawrapper is gaining popularity especially among media organizations which require frequently the use to create charts and also present the statistics of different data’s. Another vital feature added in Data Wrapper is that it is simple with a clear interface that makes it very easy to upload csv data.The end-user can also create straightforward charts, and even maps, that can be quickly embedded into reports for presentation.Pros:No installation required for creating a chart.This toll is adequate for beginners.Available free of cost for use.Media Industry is the major end-user of this Data Visualization tool.Charts can be embedded in a short span of time.Cons:A complex chart such as Sankey cannot be built using this tool.Data security is an area of concern since its an open-source.The free version does not support customization, exporting or printing of charts.Cost: $29 USD/user/month billed annually.Open-Source/Licensed: Open-Source.7. PlotlyPlotly is an open-source tool that enables sophisticated and complex visualizations, because of its ability to integrate with analytics-oriented programming languages such as Python, R, and Matlab.  Plotly is preferred by users for creating, disseminating, and modifying graphical and interactive data online. It can even be installed on the premises. It can be deployed in the cloud. This way it is useful for data mining scientists who are always looking out for ways to organize and present data without actually involved in coding. Plotly users also have the right to collaborate among themselves for building, sharing, and editing maps and charts. This additional feature boosts the speed of visualization as well as the presentation of data in a unique way also maximizing efficiency from each member by ensuring that each of them has their own designated set of tasks.Pros:Charts can be easily shared with the cloud account of the user.Editing can be done with charts online by the end-users.Quality images are exported during publication.Fully interactive interface.Since they are hosted on a server, can be easily shared Cons:At times speed becomes a concern since the charts are interactive and require more power as compared to the static chart.There are limitations to the free version.Due to different screen flashing at a time, the first sight might create some distraction and confusion.Cost: $420 USD/user/year billed annually.Open-Source/Licensed: Open-Source.8. SisenseSisense provides excellent instant insight for anyone and anywhere within the organization. It has the capacity to visualize dashboards and reports and summarize the statistics of any piece of data, even the uncover underlying trends & patterns and helping the decision-makers to conclude with the data-driven statistics.Pros:A boon for analysis on huge datasets.User- friendly interface.Excellent customer support.Upgrades quickly.Easy customization and flexibility are available with the product.Cons: Maintaining and developing analytic cubes is a challenge.No option for supporting the time format.Limited version of visualizations.If cube rebuilding is required then the cube becomes inaccessible for that duration.Cost: The  cost of the product varies case by case basis depending upon the two factors:Data size The number of users.Open-Source/Licensed: Licensed. It has a free trial available.9. IBM Watson: It is a supercomputer offered by IBM which leverages artificial intelligence and analytical components. It is named after IBM founder Thomas J Watson…Basis the user’s data, it helps us to discover the pattern and insight of the available statistics.Its intelligent and self-service application guides the user to the complete insight discovery process. Both structured and unstructured data can be easily extracted since the application uses natural language processing.The biggest highlight of this process is that this application provides the new and of the user data.Pros:Capability of Natural Language Processing.Can be accessed from different devices.Helpful in predicting the future of business and making decisions accordingly.Format of information is visually appreciable for the viewers.Dashboards have the capability of self-service.Cons:Inefficient customer support.English Language application is only available. (Limitation for other language users).Maintenance cost is high.Structured data are not available directly.Cost: $80 USD/user/month billed annually (For professional version).Open-Source/Licensed: Licensed. 10. RAW- RawgraphsThis tool works on delimited data like CSV file or TSV file. It even works on copy /paste data as well. It acts as a missing link between spreadsheets and data visualization. Though Rawgraph is a web application yet the data security is not at all a concern. Wide range of conventional and non-conventional layouts are also available.With the blink of an eye, the visual feedback is available. If the user is not happy with the visuals then another mapping can be done immediately.Pros:Excellent platform for graphic and keeping/reading/arranging the user’s data.Easy readability and ability to rearrange the visual graphics.Adoptable mapping options available.Sharing data becomes feasible.The biggest advantage is its property of being scalable.Simple interface.It can be easily edited with vector graphic application and also can be imported,Cons:Log scales are not available.At times it is limited in terms of visualization.Not as per user intuitive.Cost: Not availableOpen-Source/Licensed: Open-Source.11. Visual.ly:Visual.ly aims at becoming the largest community for creating, promoting and sharing data visualizations. It is the content service in a visual format. They have dedicated big data visualization service and a very impressive portfolio. An online process is streamlined we can easily outsource our data for visualization to a third party wherein the input of the project can be shared and the creative team is available to assist for the entire duration of the project. Visual.ly even sends email notifications for all the achievements and milestones achieved through the users' data along with sharing the constant feedback by the creative team. The biggest advantage of the Visual.ly is their distribution network for showcasing the outcome of the project once it’s completed.Pros:Link opportunities are more.Better quality output.Good graphics are easier to produce.Less time-consuming.Cons:Few embed options are available.They usually illustrate one point instead of multiple points.There is a limitation in the scope of the product.Cost: Need to check.Open-Source/Licensed: Need to check12. Google Charts:It basically creates a pictorial and graphical presentation of the data shared by the user. Google Charts have been coded with  HTML5 and SVG and aims at total cross-border compatibility along with Android, iOS including older Internet Explorer versions supported via VML. All the charts created are interactive with an additional feature of zoom. They are very user-friendly accompanied by their site features - a really appreciative comprehensive gallery where we can see the data visualizations and interactions at our disposal.Pros:Very easy data integration.Data graphs are visually appealing.Can be incorporated into a variety of websites.Compatibility with other Google products.Cons:At times the look and feel of the graphs are way too modern.Feature of exporting the chart should be more straightforward.Lack of demos on advanced tools.Lack of customization ability.They require network connectivity for data visualization.Not feasible with a mobile application.Cost: Free trial available,Open-Source/Licensed: Licensed. 13. Zoho Reports:Zoho reports are very well known as Zoho Analytics. They have an online reporting and business intelligence service that helps get the new insights on the users’ data. It helps in creating and sharing powerful, ad hoc reports within minutes, without any IT help. Data of users can be easily imported from applications and databases, even behind firewalls.Pros:With little extra effort, new reports can be created. Basis the need, existing report can be easily modified. Features like report sharing, scheduling of emails are extremely useful features.In the case of a bigger database, space is not the concern.Quick and prompt level-1 customer support.Cons:Report sharing becomes cumbersome with larger groups of dataTraining for new Zoho Reports' users should be potentially more effective.At times the main dashboard becomes more confusing with a larger number of data.Cost: $25  USD/user/month billed annually (For professional version).Open-Source/Licensed: Licensed. 14. JupyteR:It is basically a web application that supports the open-source. The major highlight is creating and sharing documents which have a live code,  narrative text, equations, and visualization. JupyteR stands for IPython (Interactive Python). In multiple programming languages, it is used for interactive computing. Also, it was originally developed for the Python programming language. It is serving Uses include: data transformation along with cleaning, simulation of numerical, modeling of statistics, data visualization, machine learning, and many more.Pros:Prototyping can be concluded quickly and easily.The end result of the application is visually interesting.Insight of the data can be easily shared.Cons:Tricky collaboration.At times reviewing of codes becomes difficult.More often there comes the challenge of complexity during production.Open-Source/Licensed: 100% Open source and free for all users.15. Dundas BI:Dundas BI comes with highly-customizable visualizations along with interactive charts, gauges, maps, scorecards and many more. In addition to that, there is also granular control over almost all visual design elements. Dundas BI also align them to the enterprise reporting needs in a dedicated reports designer. There is lots of flexibility while creating multi-page reports or ad-hoc reports. In short form, the complex views are available in simplified form for the user.Pros:Lots of Flexibility in the functionality.Anything imagined can be possible through the licensed version.Variety of charts and data sources are available along with flexibility in design.N numbers of built-in options for extracting, modifying and displaying data are available.Cons:Predictive analytics is missing.Too massive to fully exploit the capabilities of a software developer.3D Charts are not supported in this application.Non-essential upgrades need to be removed.Cost: $99 USD/user/month billed annually (For professional version).Open-Source/Licensed: One-time license.16. Visme:Visme has transformed the way of creating & sharing very engaging Presentations along with Infographics and other visual formats. The content creation tool is the most popular tool being used by IBM, General Dynamics, and Accenture and 1.7 million other users. The stories and the boring data’s are being translated into engaging Visuals. The visually available product can be either published online or embed to any site and can be download for offline use.Pros:Customer user-friendly dashboard making the designs of collateral extremely easy and within a short span of time.Templates and individual graphics, stats, objects are adaptable easily. They are immensely helpful in providing ideas for formatting and structuring the graphic.Visme sets a benchmark in itself by providing templates for presentation slides.Cons:At times it becomes difficult to select particular sections when there are many layers in a particular image.Not much effect on the social templatesOften it acts a little funky when on clicking the image.Cost: $70 USD/user/month billed annually (For professional version).Open-Source/Licensed: Licensed. 17. Grafana:Bafana is commonly used for the purpose of dashboard and graph composing. It focuses on providing ample ways to visualize time series metrics, mainly though graphs. They even support ways to visualize data through a pluggable panel architecture. At present,   rich support for Graphite, InfluxDB, and OpenTSDB and even supports other data sources via plugins.In a layman language, it is a tool in the Monitoring category of a tech-savvy user. They can create, edit, search and save the dashboards.Pros:Possibility of templating.Feature of importing and exporting the dashboard available.Rearranging the panel with drag and drop feature.Column span and row heights can be modified.Can be easily deployed.Cons:Dashboard URL keeps on changing.Irregularities in case of notifications.Data storage is a cause of concern hence used with Graphite.Open-Source/Licensed: Open-source.There are other tools as well. Please find below some other alternatives we have on data visualizations:18. ChartBlocks:It offers an online charting service. We need to upload our data then we can easily create interactive charts based on uploaded data.19. NVD3: It is a dynamic collection of components, with the aim of keeping these components very customizable. The highlight of the project is its attempt to build reusable charts. 20. Leaflet:It is basically designed keeping in mind the simplicity, performance, and usability. Leaflet is defined as mobile-friendly interactive maps leading the market with open-source JavaScript.21. N3-charts: They are generally used for creating beautiful charts in Angular JS application with the use of JavaScript library.With so many options available, it becomes difficult sometimes to choose the right visualization tool for organization. The organization needs to carefully select the tool which can fulfill their requirement.  The tool should be able to extract data from different platforms stored in different formats. The enterprise structure also helps in deciding the best data visualization tools.
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Top 20 Data Visualization Tools

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  • by Ashish Kumar
  • 22nd Jul, 2019
  • Last updated on 16th Aug, 2019
  • 20 mins read
Top 20 Data Visualization Tools

Why Data Visualization?

Data visualization in layman’s language describes any determined attempt to help people understand the significance of data by placing it in a visual context. The analytics is presented visually so that the decision-makers can grasp difficult concepts or identify new patterns in a short span of time. When something becomes too difficult to understand, then data visualization comes into the picture which simplifies everything to a concept that can be easily grasped. Data visualization basically puts the complex data into a graphical format, allowing the user to easily understand the state of business and identify patterns to bolster successful strategies. It also Identifies and improves the areas that need attention immediately. It gives better clarification on which all factors influence customer behavior. It helps to understand the product positioning in a better way. Predicts the sales volume quickly.

Human eyes are more reactive to colors and patterns as compared to text, this is another reason why data visualization is getting more attention.  We can easily figure out the difference in colors, shapes because of human nature. It is human nature to quickly identify the trends by looking at graphs and figures. Now we can understand the need for good visualization tools in the world of a deluge of data. In big enterprises where we have different data sources that are also stored in different, it is very critical for a business to have some tool. which can extract data from different sources and present in some visuals which help the business to take strategic decisions based on charts. In Big data world, Data visualization tool has become an integral part of the technology stack of any organization.

Let's have a look at the below dashboard where we have presented some stats for Brazil using one of the popular data visualization tools Tableau. This dashboard is dependent on various data sources and data points but government agencies would not be able to calculate some important indexes by just looking at different data sources. Their job has been made easier by data visualization tools.

Data Visualization Dashboard

Data Visualization involves a Seven step process

  • Acquire: Understanding and collecting the data that we are trying to visualize, including its size and uniqueness in a particular column from a file on a disk or a source over a network.
  • Parse: Determining the data that we are trying to visualize and also the kind of information we want to communicate through a proper structure and arranging them into proper categories.
  • Filter: Identifying the most informative indicator and separating the data along with filtering them basis the necessity.
  • Mine: Applying the data in mathematical context through statistics or data mining.
  • Represent: This step involves choosing the basic visual model, such as a bar graph, list, chart or a tree.
  • Refine: This step emphasizes on improving the basic representation to make it clearer and more visually engaging for the viewer. It also involves the use of different color, sizes, scales, shapes, and labels to grab attention to the key messages
  • Interact: The final step involves the methods of manipulating the data and also keeping control over what features need to be visible.

On the basis the statistics from Forbes, the top seven data visualization tools preferred by the users are explained below in a set pattern in order to have a better understanding of these tools :

1. Tableau

Tableau is the master of data visualization software with a large customer base of 57000 and more majorly because of its simplicity of use and ability to provide interactive visualizations far beyond the capability of other general BI solutions. The ability of Tableau in integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP, and Teradata help them in managing huge data along with fast-changing datasets that are used in Big Data operations, including artificial intelligence and machine learning applications. Efforts have been put in for research and testing enabling Tableau to create graphics and visualizations efficiently making them feasible for humans to understand.

Tableau Dashboard in Data Visualization

Here are the Pros & Cons Of Using Tableau:

Pros:

  • Excellent visualization abilities.
  • Ease at use.
  • High-quality performance.
  • Feasibility to connect with multiple data sources.
  • Informative community and forum.
  • Responsive on Smartphones as well.

Cons:

  • Very expensive and inflexible market cost.
  • For scheduling and auto-refresh of reports - NO OPTIONS AVAILABLE.
  • Restriction on visual imports.
  • Formatting is difficult in the case of the column’s data.

Cost: $70 USD/user/month billed annually.

Open-Source/Licensed: Licensed. It has a free trial available.

2. QlikView

Qlikview tool is another major player and Tableau’s biggest competitor with a clientele of around 40,000 customers among 100 countries. The most appreciable feature of this tool is highly customizable set. It also has a wide range of features as it is a valuable advantage. Along with data visualization as one of its key components, it also offers powerful business intelligence, analytics and enterprise reporting capabilities. Qlik Sense,a sister package of Qlikview is used for handling data exploration and discovery.

QlikView Dashboard in Data Visualization

Pros:

  • User-Friendly Tool.
  • Simple and Hassle-free maintenance.
  • Many attractive and colorful data visualization options available.
  • Can launch both direct and indirect data searches.
  • Cost-effective.

Cons:

  • Inefficient in real-time data analysis.
  • Limits related to RAM
  • Non-reliable and unsatisfactory customer support.
  • Lacks the modern interface for eg: Drag and drop.

Cost: $15 USD/user/month billed annually.

Open-Source/Licensed: Licensed. It has a free trial available.

3. Power BI:

It is Microsoft offering in data visualization. It is basically a  business analytics service that delivers insights to quick and fast decisions. Their visuals prove to be stunning and can be shared with other end-users on any of the devices. Visually exploring and analyzing data on-premises and in the cloud—all in one view.

Power BI Dashboard in Data Visualization

Pros

  • It is very easy to use and business analyst can create dashboards with very ease. There is no specialized technical support required to use power BI.
  • The seamless integration with existing application makes it very useful. We can easily create a rich personalized dashboard with enterprise-level customization.
  • The underlying data on which dashboards are created can be easily set for auto-refresh and allow users to publish latest reports securely.
  • The Power BI comes with two variants, on-premise, and cloud offerings. There is no memory and speed constraint due to the cloud offering of Microsoft. Due to cloud offerings data is easily retrievable and analysis is also completed in quick time.
  • It has inbuilt support for integration with MS excel.
  • Due to coming from Microsoft family, it is compatible with Excel, Azure and Microsoft SQL Server.
  • It supports a broad range of  backend databases like Excel, SQL Server, Access, Azure, Adobe Analytics, Github, Google Analytics, Oracle, PostgreSQL, Salesforce, Teradata, and so on

Cons

  • The power BI does not support records having a size greater than 250 MB.
  • The power BI can work with single dataset at one point. It can not work with multiple datasets.
  • There is also a limitation on dataset size. The maximum size of dataset supports in Power BI is 1 GB.
  • The performance is not good with a large amount of data if we compare with some top data visualization tools. Although cloud offerings are much better than on-premises.

The pricing plan :

There are three pricing plans for Power BI:

  • Power BI Desktop: It is free for single-user usage and includes features like data cleaning and preparation, custom visualisations and allowing users to publish reports to the Power BI service.
  • Power Bi Pro: This plan costs $9.99 per user every month along and comes with data collaboration, data governance, building dashboards with a 360-degree real-time view, and allows the user to publish reports anywhere. It is free for the first 60 days after which you will need to buy the subscription.
  • Power BI Premium: The premium plan starts at $4995 a month for every dedicated cloud compute and storage resource.

4. Fusioncharts

Widely-recommendable, charting and visualization package based on Javascript. It has established itself as one of the most popularly used products of its kind in the paid-for market. It has the ability to frame 90 different types of charts and can integrate with a large number of platforms and frameworks giving a great deal of flexibility. The most important feature of FusionCharts that has made it popular in the market is to not to start each new visualization from scratch. Rather the users can pick from a range of “live” example templates by simply plugging in their own data sources as and when required.

Fusioncharts Dashboard in Data Visualization

Pros:

  • Active community.
  • Supportive Helpdesk.
  • customized for unique and specific implementations.
  • Integration with most of the platforms is easier.
  • Easily integrate with most of the platforms.

Cons:

  • Font and resizing are the areas of concern.
  • Very expensive solution.
  • Not very easy to set-up.
  • The Interface is a little outdated.

Cost: $497 USD/user/month billed annually.

Open-Source/Licensed: Licensed.

5. Highcharts

Like FusionCharts this also runs based on the Javascript API and integrates easily with jQuery. Research suggests that its website claims to be used by 72 of the world’s 100 largest companies. It is often especially chosen when a fast and flexible solution needs to be rolled out, with a minimum need for specialist data visualization training before it can be put to work. 

The key to success of this API is its focus on cross-browser support which commonly means anyone can view and run its interactive visualizations. This unique feature is not available even in newer platforms.

Highcharts Growth in Industries Data Visualization

Pros:

  • Customization can be done readily and easily.
  • The graphs look attractive.
  • A variety of options for charts are available.
  • .Easy and flexible to use.

Cost: $430 USD/user/month billed annually.

Open-Source/Licensed: Licensed.

6. Data Wrapper

Datawrapper is gaining popularity especially among media organizations which require frequently the use to create charts and also present the statistics of different data’s. Another vital feature added in Data Wrapper is that it is simple with a clear interface that makes it very easy to upload csv data.

The end-user can also create straightforward charts, and even maps, that can be quickly embedded into reports for presentation.

Data wrapper Charts in Data Visualization

Pros:

  • No installation required for creating a chart.
  • This toll is adequate for beginners.
  • Available free of cost for use.
  • Media Industry is the major end-user of this Data Visualization tool.
  • Charts can be embedded in a short span of time.

Cons:

  • A complex chart such as Sankey cannot be built using this tool.
  • Data security is an area of concern since its an open-source.
  • The free version does not support customization, exporting or printing of charts.

Cost: $29 USD/user/month billed annually.

Open-Source/Licensed: Open-Source.

7. Plotly

Plotly is an open-source tool that enables sophisticated and complex visualizations, because of its ability to integrate with analytics-oriented programming languages such as Python, R, and Matlab.  Plotly is preferred by users for creating, disseminating, and modifying graphical and interactive data online. It can even be installed on the premises. It can be deployed in the cloud. This way it is useful for data mining scientists who are always looking out for ways to organize and present data without actually involved in coding. Plotly users also have the right to collaborate among themselves for building, sharing, and editing maps and charts. This additional feature boosts the speed of visualization as well as the presentation of data in a unique way also maximizing efficiency from each member by ensuring that each of them has their own designated set of tasks.

Plotly Charts in Data Visualization

Pros:

  • Charts can be easily shared with the cloud account of the user.
  • Editing can be done with charts online by the end-users.
  • Quality images are exported during publication.
  • Fully interactive interface.
  • Since they are hosted on a server, can be easily shared 

Cons:

  • At times speed becomes a concern since the charts are interactive and require more power as compared to the static chart.
  • There are limitations to the free version.
  • Due to different screen flashing at a time, the first sight might create some distraction and confusion.

Cost: $420 USD/user/year billed annually.

Open-Source/Licensed: Open-Source.

8. Sisense

Sisense provides excellent instant insight for anyone and anywhere within the organization. It has the capacity to visualize dashboards and reports and summarize the statistics of any piece of data, even the uncover underlying trends & patterns and helping the decision-makers to conclude with the data-driven statistics.

Sisense Dashboard in Data Visualization

Pros:

  • A boon for analysis on huge datasets.
  • User- friendly interface.
  • Excellent customer support.
  • Upgrades quickly.
  • Easy customization and flexibility are available with the product.

Cons:

  •  Maintaining and developing analytic cubes is a challenge.
  • No option for supporting the time format.
  • Limited version of visualizations.
  • If cube rebuilding is required then the cube becomes inaccessible for that duration.

Cost: The  cost of the product varies case by case basis depending upon the two factors:

  1. Data size 
  2. The number of users.

Open-Source/Licensed: Licensed. It has a free trial available.

9. IBM Watson: 

It is a supercomputer offered by IBM which leverages artificial intelligence and analytical components. It is named after IBM founder Thomas J Watson…

Basis the user’s data, it helps us to discover the pattern and insight of the available statistics.

Its intelligent and self-service application guides the user to the complete insight discovery process. Both structured and unstructured data can be easily extracted since the application uses natural language processing.

The biggest highlight of this process is that this application provides the new and of the user data.

IBM Watson Statistics in Data Visualization

Pros:

  • Capability of Natural Language Processing.
  • Can be accessed from different devices.
  • Helpful in predicting the future of business and making decisions accordingly.
  • Format of information is visually appreciable for the viewers.
  • Dashboards have the capability of self-service.

Cons:

  • Inefficient customer support.
  • English Language application is only available. (Limitation for other language users).
  • Maintenance cost is high.
  • Structured data are not available directly.

Cost: $80 USD/user/month billed annually (For professional version).

Open-Source/Licensed: Licensed. 

10. RAW- Rawgraphs

This tool works on delimited data like CSV file or TSV file. It even works on copy /paste data as well. It acts as a missing link between spreadsheets and data visualization. Though Rawgraph is a web application yet the data security is not at all a concern. Wide range of conventional and non-conventional layouts are also available.

With the blink of an eye, the visual feedback is available. If the user is not happy with the visuals then another mapping can be done immediately.

RAW- Rawgraphs in Data Visualization

Pros:

  • Excellent platform for graphic and keeping/reading/arranging the user’s data.
  • Easy readability and ability to rearrange the visual graphics.
  • Adoptable mapping options available.
  • Sharing data becomes feasible.
  • The biggest advantage is its property of being scalable.
  • Simple interface.
  • It can be easily edited with vector graphic application and also can be imported,

Cons:

  • Log scales are not available.
  • At times it is limited in terms of visualization.
  • Not as per user intuitive.

Cost: Not available

Open-Source/Licensed: Open-Source.

11. Visual.ly:

Visual.ly aims at becoming the largest community for creating, promoting and sharing data visualizations. It is the content service in a visual format. They have dedicated big data visualization service and a very impressive portfolio. An online process is streamlined we can easily outsource our data for visualization to a third party wherein the input of the project can be shared and the creative team is available to assist for the entire duration of the project. Visual.ly even sends email notifications for all the achievements and milestones achieved through the users' data along with sharing the constant feedback by the creative team. The biggest advantage of the Visual.ly is their distribution network for showcasing the outcome of the project once it’s completed.

Visual.ly Design in Data Visualization

Pros:

  • Link opportunities are more.
  • Better quality output.
  • Good graphics are easier to produce.
  • Less time-consuming.

Cons:

  • Few embed options are available.
  • They usually illustrate one point instead of multiple points.
  • There is a limitation in the scope of the product.

Cost: Need to check.

Open-Source/Licensed: Need to check

12. Google Charts:

It basically creates a pictorial and graphical presentation of the data shared by the user. Google Charts have been coded with  HTML5 and SVG and aims at total cross-border compatibility along with Android, iOS including older Internet Explorer versions supported via VML. All the charts created are interactive with an additional feature of zoom. They are very user-friendly accompanied by their site features - a really appreciative comprehensive gallery where we can see the data visualizations and interactions at our disposal.

Google Charts in Data Visualization

Pros:

  • Very easy data integration.
  • Data graphs are visually appealing.
  • Can be incorporated into a variety of websites.
  • Compatibility with other Google products.

Cons:

  • At times the look and feel of the graphs are way too modern.
  • Feature of exporting the chart should be more straightforward.
  • Lack of demos on advanced tools.
  • Lack of customization ability.
  • They require network connectivity for data visualization.
  • Not feasible with a mobile application.

Cost: Free trial available,

Open-Source/Licensed: Licensed. 

13. Zoho Reports:

Zoho reports are very well known as Zoho Analytics. They have an online reporting and business intelligence service that helps get the new insights on the users’ data. It helps in creating and sharing powerful, ad hoc reports within minutes, without any IT help. Data of users can be easily imported from applications and databases, even behind firewalls.

Zoho Reports in Data Visualization

Pros:

  • With little extra effort, new reports can be created. 
  • Basis the need, existing report can be easily modified. 
  • Features like report sharing, scheduling of emails are extremely useful features.
  • In the case of a bigger database, space is not the concern.
  • Quick and prompt level-1 customer support.

Cons:

  • Report sharing becomes cumbersome with larger groups of data
  • Training for new Zoho Reports' users should be potentially more effective.
  • At times the main dashboard becomes more confusing with a larger number of data.

Cost: $25  USD/user/month billed annually (For professional version).

Open-Source/Licensed: Licensed. 

14. JupyteR:

It is basically a web application that supports the open-source. The major highlight is creating and sharing documents which have a live code,  narrative text, equations, and visualization. JupyteR stands for IPython (Interactive Python). In multiple programming languages, it is used for interactive computing. Also, it was originally developed for the Python programming language. It is serving Uses include: data transformation along with cleaning, simulation of numerical, modeling of statistics, data visualization, machine learning, and many more.

JupyteR in Data Visualization

Pros:

  • Prototyping can be concluded quickly and easily.
  • The end result of the application is visually interesting.
  • Insight of the data can be easily shared.

Cons:

  • Tricky collaboration.
  • At times reviewing of codes becomes difficult.
  • More often there comes the challenge of complexity during production.

Open-Source/Licensed: 100% Open source and free for all users.

15. Dundas BI:

Dundas BI comes with highly-customizable visualizations along with interactive charts, gauges, maps, scorecards and many more. In addition to that, there is also granular control over almost all visual design elements. Dundas BI also align them to the enterprise reporting needs in a dedicated reports designer. There is lots of flexibility while creating multi-page reports or ad-hoc reports. In short form, the complex views are available in simplified form for the user.

Dundas BI reports Data Visualization

Pros:

  • Lots of Flexibility in the functionality.
  • Anything imagined can be possible through the licensed version.
  • Variety of charts and data sources are available along with flexibility in design.
  • N numbers of built-in options for extracting, modifying and displaying data are available.

Cons:

  • Predictive analytics is missing.
  • Too massive to fully exploit the capabilities of a software developer.
  • 3D Charts are not supported in this application.
  • Non-essential upgrades need to be removed.

Cost: $99 USD/user/month billed annually (For professional version).

Open-Source/Licensed: One-time license.

16. Visme:

Visme has transformed the way of creating & sharing very engaging Presentations along with Infographics and other visual formats. The content creation tool is the most popular tool being used by IBM, General Dynamics, and Accenture and 1.7 million other users. The stories and the boring data’s are being translated into engaging Visuals. The visually available product can be either published online or embed to any site and can be download for offline use.

Visme Infographic in Data Visualization

Pros:

  • Customer user-friendly dashboard making the designs of collateral extremely easy and within a short span of time.
  • Templates and individual graphics, stats, objects are adaptable easily. 
  • They are immensely helpful in providing ideas for formatting and structuring the graphic.
  • Visme sets a benchmark in itself by providing templates for presentation slides.

Cons:

  • At times it becomes difficult to select particular sections when there are many layers in a particular image.
  • Not much effect on the social templates
  • Often it acts a little funky when on clicking the image.

Cost: $70 USD/user/month billed annually (For professional version).

Open-Source/Licensed: Licensed. 

17. Grafana:

Bafana is commonly used for the purpose of dashboard and graph composing. It focuses on providing ample ways to visualize time series metrics, mainly though graphs. They even support ways to visualize data through a pluggable panel architecture. At present,   rich support for Graphite, InfluxDB, and OpenTSDB and even supports other data sources via plugins.

In a layman language, it is a tool in the Monitoring category of a tech-savvy user. They can create, edit, search and save the dashboards.

Pros:

  • Possibility of templating.
  • Feature of importing and exporting the dashboard available.
  • Rearranging the panel with drag and drop feature.
  • Column span and row heights can be modified.
  • Can be easily deployed.

Cons:

  • Dashboard URL keeps on changing.
  • Irregularities in case of notifications.
  • Data storage is a cause of concern hence used with Graphite.

Open-Source/Licensed: Open-source.

There are other tools as well. Please find below some other alternatives we have on data visualizations:

18. ChartBlocks:

It offers an online charting service. We need to upload our data then we can easily create interactive charts based on uploaded data.

ChartBlocks in Data Visualization

19. NVD3: 

It is a dynamic collection of components, with the aim of keeping these components very customizable. The highlight of the project is its attempt to build reusable charts.

NVD3 Charts in Data Visualization

 20. Leaflet:

It is basically designed keeping in mind the simplicity, performance, and usability. Leaflet is defined as mobile-friendly interactive maps leading the market with open-source JavaScript.

Leaflet Maps in Data Visualization

21. N3-charts: 

They are generally used for creating beautiful charts in Angular JS application with the use of JavaScript library.

N3-charts in Data Visualization

With so many options available, it becomes difficult sometimes to choose the right visualization tool for organization. The organization needs to carefully select the tool which can fulfill their requirement.  The tool should be able to extract data from different platforms stored in different formats. The enterprise structure also helps in deciding the best data visualization tools.

Ashish

Ashish Kumar

Senior Technology Specialist

Ashish is working as a Senior Technology Specialist in leading financial bank has more than 13 years of experience in developing enterprise applications

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4 comments

kiran kumar p 06 Aug 2019

Your blog is very useful and well explained the Top 20 Data Visualization Tools. Thank you for sharing your knowledge.

Sajjan 16 Aug 2019

Great article Ashish. Straight to the point and informative! Thanks.

Dilip 16 Aug 2019

Thank you, Simple yet incredibly helpful post for the people who are looking for data visualization tools

Prabhavalkar 16 Aug 2019

The information provided is very clear and useful for the people who really want to know about the data visualization tools. Please share this post on social platforms. It will really reach the people and people may acquire the knowledge.

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Tableau Vs QlikView

What is Tableau?Tableau stands as the most powerful and fastest-growing data visualization tool which is being used in the Business Intelligence Industry. Its basic funda is to simplify raw data into a format that can be easily understandable. Data analysis has become very quick with Tableau and the dashboards and worksheets are the forms of visualization that are being created.The best part is that Tableau is a market-leading BI tool as well as the most trending tool used to visualize and analyze the user's data in a very easily digestible format.It also enables the user to work on live data-set and spend quality time on data analysis rather than data wrangling.Usage of Tableau software are listed below:They are used to translate queries into visualization.Managing metadata is also feasible through Tableau.It can even import data of all sizes and ranges.In the case of the non-technical user as well as Tableau acts as a  lifesaver as it offers the facility to create ‘no-code’ data queries.What is QlikView?When we talk about the most flexible Business Intelligence platform for turning data into knowledge then Qlikview comes into the picture. There are more than  24,000 organizations worldwide have enabled their users to easily consolidate, search, and analyze visually all their data by using QlikView.List of the top companies using QlikViewCompanyWebsiteCountryRevenueCompany SizeRed Hat Incredhat.comUnited States>1000M>10000Centerstone of Tennessee,Inc.centerstone.orgUnited States50M-100M1000-5000Robert Walters Plcrobertwalters.comUnited Kingdom>1000M1000-5000Nigel Frank International Limitednigelfrank.comUnited Kingdom200M-1000M1000-5000Axtriaaxtria.comUnited States10M-50M500-1000The wide scope of this software lies in its simplicity of usage. The creation of dashboards for analytical purposes is done by its reporting tools.The era of modern analytics truly began with the launch of QlikView. It actually revolutionized the way organizations lets its user create data with the intuitive visual discovery that put business intelligence in the hands of more people than ever.Enterprise-scale analytics is also being performed with utmost ease and credibility.Usage of Qlikview software are listed below:Flexible Business Intelligence platform for converting data into knowledge.Consolidating, searching and visually analyzing data with simplicity.Even data discoveries in order to support decision making for end-users in the business.Key Difference between Tableau and QlikViewA quick view of the difference between Tableau and QlikViewFeaturesTableauQlikviewPerformanceProcesses data slower than QlikviewCombines large and complex data at a faster rateSpeedSlow in the data processingData processing and accessing is fasterCostCheaperBit costlyBig data supportGoodAverageMultidimensional CubesGoodLimitedVisualizationSimple and interactiveExcellentCustomizationSimpleComplex toolLet’s understand the differences brieflyEase of UseEverybody can analyze information with intuitive products for drag & drop. No programming, only insight. The user can easily create their own perception using various objects and it's easy to use because of a well designed GUI interface. Tableau offers a storytelling feature that can allow us to create a presentation using data points that are available. It does not provide a feature to search content across all the user's dataThe best quality of Qlikview is it's easy to use the feature and even exploring the hidden trends.QlikView offers an associative technology that enhances the capacity of the presentation. This feature helps companies understand hidden links between data points. In the case of searching any data, we just need to type the word in the search box resulting in instant and   It also shows in-depth connections and relationships across the data. At times it becomes difficult for users to design their own views due to properties that are menu-driven.Ease of LearningTableau has community and resources which are actively engaged. The drag & drop application even makes it very easy to learn for the end-users.QlikView also has actively engaged community and resources which ultimately helps the user learn this software in the best possible way.CostTableau: Here are Tableau’s new monthly prices: Tableau Desktop Personal, $35; Tableau Desktop Professional, $ 70; Tableau Server, $35; and  Tableau Online, $42. Under the old model, a license, with annual maintenance, costs $999 for Desktop Personal and $1,999 for Desktop Professional. The server starts at $10,000 for 10 people, and Online is $500 per user per year.Qlikview: The personal edition in Qlikview is absolutely free with a limitation of no feature for document sharing. Per named user license is $1,350 and $15,000 for a concurrent user. Per Server license cost around $35,000. Additionally we require to pay $21,000/server in case of PDF distribution service; $22,500 for SAP NetWeaver connector.Might even require upgradation of RAM if the concurrent users are larger in number.Data VisualizationTableau is one of the industry's leading instruments for data visualization. Today, companies are investing more in information segmentation, clustering, and stronger analysis. It offers a user-friendly interface that enables even non-technical users to generate tailored dashboards rapidly and easily to give significant perspectives in a wide range of company data.QlikView, on the contrary, offers normal report creation characteristics, visualization templates, configurable graphs, and customized opinions that assist provide an interactive report in real-time. All the visualizations and data sets are shown as a quick reference when QlikView is in use. Qlik's product provides an in-memory engine that can view patterns and produce associative analytics that alone can not be achieved with SQL. The In-Memory Engine is able to integrate with diverse information source variants and create a unified dashboard that shows analyses, KPIs and metrics of our concern.Connectivity with Other tools/ Language or DatabaseTableau integrates successfully with a wide range of data sources which includes the spreadsheets, CSV, SQL databases, Salesforce, Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop, HP Vertica, MS SQL Server, MySQL, OData, Oracle, Pivotal Greenplum, PostgreSQL, Salesforce, Teradata, and Windows Azure Marketplace. It can also coordinate with sources of Big data as well.Qlikview also integrates with high range of data sources like Amazon Vectorwise, EC2, and Redshift, Cloudera Hadoop and Impala, CSV, DataStax, Epicor Scala, EMC Green Plum, Hortonworks Hadoop, HP Vertica, IBM DB2, IBM Netezza, Infor Lawson, Informatica Powercenter, MicroStrategy, MS SQL Server, My SQL, ODBC, ParAccel, Sage 500, Salesforce, SAP, SAP Hana, Teradata, and many more. In this case, API integration can be used to connect with R. It can also readily connect with Big data sources.DeploymentSince tableau does not have their own data warehouse hence they have to generate layers while connecting with data set. The deployment becomes easier here since it needs more structured data.QlikView has its own data warehouse with an additional feature of scripting which acts as a feature in the cap leading to the use of multilevel layers in its deployment. QlikView is readily deployable and configurable and starts producing excellent reports immediately after the installation. An additional feature involves enabling interactive queries and creation of reports—a technology which is not found in other products since this product does not use cubes; hence loads all the tables and charts found in the memory. Both 32 and 64 bit can be used for the development. Data modeling becomes easier because of associative technology.SpeedIn the case of Tableau the speed varies based on two parameters, first being the RAM and second being the source's database. Tableau makes it extremely effective to produce in a matter of minutes of interactive views and reports. Tableau can also speed up the entire process since it enables online and offline report sharing.  In Quikview the Speed is dependent on only the source's RAM.QlikView offers quick assessment, outcomes, and allows for much quicker decision-making in comparison to traditional techniques.Valuable Insight GenerationTableau has an excellent storytelling feature that helps the user to create effective presentations, using the available data sources.In Qlikview the Associative technology makes it more impressive and it also helps to read association between variables readily. This unique feature sometimes even benefits businesses to understand the hidden relation between the data points.MobilityTableau is readily available on all devices and can be accessed via the internet. We can even use it on our laptop, tablet or smartphones as well.QlikView is independent of any device thus we can easily access it from anywhere hence decision making becomes much prompt and quicker as compared to the traditional methods of data visualization.SecurityTableau provides excellent security features and it is highly handled by Tableau server. It is indeed a modern enterprise analytics platform that enables the users to avail the self-service analytics at scale with proper governance. Security is the first and foremost critical part of a data and content governance strategy. It's server actually provides comprehensive features along with deep integration to address all the aspects of enterprise security present. Tableau also renders the organizations in promoting trusted data sources for all users, so the right data is used to make the right decisions within seconds.PerformanceWhen compared with Qlikview, Tableau generates the output slower since it uses the cubing technique for data visualization. QlikView seamlessly combines all sizes of datasets hence are quicker when compared with Tableau.ScalabilityQlikView is a lot more scalable than Tableau. The  Qlik Sense applications can be easily scaled especially while dealing with big data. But we cannot deny the fact that both the vendors handle a huge amount of data successfully. In Fact, most of the organizations do not produce the amount of data that both these can handle individually.Big Data SupportTableau has good support for Big data as compared to Qlikview.CustomizationSimple drag and drop features are available in Tableau. Qlikview is Complex tools when compared with Tableau.ConclusionIn brief, the reply to the question:' Which is the best tool for data visualization? It's pretty subjective. Users find out the demands of their business or their projects, which is a matter of personal preference. In both Tableau and QlikView, all the points listed above in this blog illustrate the possible regions where consumers can assess and comprehend their possibilities and then decide in an informed fashion which ones to use.Want a career in Tableau and QlikView? Then taking up training in  Tableau and  QlikView would be an added advantage.
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Tableau Vs QlikView

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Top Features of Power BI

Power BI is a business analytics service by Microsoft that provides users with Data Visualization and Business Intelligence tools with an elementary interface, simple for end-users so that they create reports and dashboards of their own. Microsoft Power BI helps to find insights within the data of an organisation.  It converts data from various data sources to interactive BI reports and dashboards, like it forms different data models, creates graphs and charts which depict visuals of the data, etc. These data and data models can be shared with other Power BI users within the organisation. Moreover,  Power BI provides executive dashboards for the manager and administrators which gives the management more insight into how the departments are functioning. The following lists the key features of Power BI that makes  Power BI a hit amongst various organisations and businesses.Key features of Power BIGet started in seconds: You can sign up for free to get started in no time and start monitoring your data. There isn’t any setup required or training needed. They have simple, yet out-of-the-box dashboards for different services like Salesforce, Google Analytics, etc. with the help of which you can get insights from your data in no time.Analysis of Data, Stored Anywhere: Get a comprehensive view of all of your data and key metrics of your business, no matter what form your data is stored in or where it is stored. Solve Problems on the go: With real-time Power BI dashboards, you can instantly know when your business is demanding attention.  Seize opportunities to solve problems as they occur. Content Packs: Power BI uses Content Packs, which has embedded queries, dashboard reports and data models. A large number of applications use Content Packs now, including QuickBooks.Print Dashboard: Power BI allows printing of dashboards, which is a new feature. This feature comes really handy in board meetings and discussions. Natural Language Q&A: Natural Language Q&A is one of the most powerful tools in Power BI, which allows users to write questions as well as provide the content and answer, which can be manipulated as per your visual needs. For example, if you ask for the previous year’s sales by product, be ready to get a stunning and interactive visualization as a reply. Custom Visualization: Power BI is a library of custom visualization, that is, depending on the business needs, if the business needs differ, then so should the visuals.DAX Data Analysis Function: Power BI comprises of more than 200 functions and counting. The DAX formula language is so rich that it includes libraries of various remarkable capabilities that it cyphers your data in such a way that powerful analytical data models can be created. Get Data (Data Source): With the help of Power BI, businesses can virtually get data from anywhere. Power BI Desktop encompasses a variety of on-premise as well as cloud data sources, which are both structured and unstructured; more of which are added each month.Act in motion: No matter wherever you are, keep yourself on the top of your data. With apps available for iOS, Android and Windows, you can now access all of your data where you are and where you go!Integrate with Power BI: With the help of their open, standards-based REST API, integrate your service or application with Power BI. This will help you deliver solutions faster without losing focus on the core value. New Features of Power BIThe following lists the latest Power BI features that have been made available since January. Read along to know what all changes and upgradations have been made!1. Show and hide pages:If you wish to share just some particular sections of your report, then you might want to hide certain pages before giving them the access. This feature has become available since January, where all you have to do is right-click on the page and select ‘Hide’.Upon doing so, you will be able to look at the hidden pages yourself. But if you go onto reading mode, you won’t be able to see them as well.2. Manage the data label background colour for map visuals and Cartesian:You can now edit the background colour and data labels for Cartesian and map visuals. It can be found under the Data labels card in the formatting page. These options have improved the issues faced previously, such as readability.  3. Control the Bar/Column padding:This lets you control the inner padding between the bars. The inner padding can now go up to 50% of the bar’s width, as well as all the way down to a zero or a histogram effect.4. Increase the area used for axis labels in a chart:You no longer have to increase the chart’s size if the axis labels are cut off in a chart. If your page’s space is limited, a new slider is now available to increase the percentage of the charts used by the axis labels. 5. Top N selection in Q&A:Improvements have been made in the natural language engine to support ask top-n-type questions. For example, ‘What are my top 3 products by sales?’, ‘Top manufacturer by NSAT.’
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The Architecture of Power BI

The main element of the drive to be agile, competitive, and efficient is business intelligence. As companies develop, the regular generation of information becomes very hard to handle. This, in turn, generates a road-block for data-driven businesses that want to use their data to drive company decision-making.In addition, the siloing impact and biased reporting structures across companies generate a scenario where decision-makers are compelled to make choices based on information that is partly accurate.This is why smart business systems are largely embraced. Establishing an analytical system to efficiently analyze data helps a company find helpful information, propose conclusion and promote improved decision-making. With its demonstrated technology track record, Microsoft has come to the fore with the implementation of its convincing analytics instrument,  Power BI. This report authoring tool enables businesses to readily visualize and analyze their business information to transform their activities. Here in this article, we will see various components included in Power Bi architecture. This guide will help you in  installing Power BI.Microsoft Power BI ArchitecturePower BI architecture consists of four steps. Let's look at them in detail:Sourcing DataTransforming InformationReport & PublishCreating a Dashboard1. Sourcing Data: Power BI can supply information from a wide range of internet facilities and file kinds. The information can be imported into Power BI or a live service link can be established to receive the information. If you import a Power BI file, it limits the compressed data sets to 1 GB. If the information set exceeds 1 GB, then the direct query may be used. For big information sets, there are two other choices.                     Power BI premium                      Azure analytics servicesList of Data Sources supported in Power BIFiles:Excel, XML, JSON, Text/CSV,Folder and SharePoint FolderDatabase:SQL Server Database, Access Database, SQL Server Analysis Services Database, SAP HANA Database, SAP Business Warehouse server, Amazon Redshift, Impala, Google BigQuery (Beta), Snowflake,Oracle Database, IBM DB2 Database, IBM Informix database (Beta), IBM Netezza (Beta), MySQL Database, PostgreSQL Database, Sybase Database, Teradata DatabaseAzure:Azure SQL Database,  Azure SQL Data Warehouse, Azure Analysis Services database (Beta), Azure Blob Storage, Azure Table Storage, Azure Cosmos DB (Beta), Azure Data Lake Store, Azure HDInsight (HDFS), Azure HDInsight Spark (Beta)Online Services:Power BI service, SharePoint Online List, Microsoft Exchange Online, Dynamics 365 (online), Dynamics 365 for Financials (Beta), Common Data Service (Beta), Microsoft Azure Consumption Insights (Beta), Visual Studio Team Services (Beta), Salesforce Objects, Salesforce Reports, Google Analytics, appFigures (Beta), comScore Digital Analytix (Beta), Dynamics 365 for Customer Insights (Beta), Facebook, GitHub (Beta), Kusto (Beta), MailChimp (Beta), Mixpanel (Beta), Planview Enterprise (Beta), Projectplace (Beta), QuickBooks Online Other:Vertica (Beta), Web, SharePoint List, OData Feed, Active Directory, Microsoft Exchange, Hadoop File (HDFS), Spark (Beta), R Script, ODBC, OLE DB, Blank Query2. Transforming information:After the information is imported into the Powerbi system, power bi offers a preview window for selecting columns or entities. There are many transformation choices available to perform the job if you need to edit the query.3. Report & Publish:We are prepared to produce reports after sourcing and editing the information. Reports are data visualization with filters and slicers in the form of graphs, charts and pie charts. A lot of custom visualization is also available. We can publish them to power bi facilities after generating reports. You can also publish them on the energy bi server assumption.4. Creating a Dashboard:We can create dashboards after publishing reports to Power BI services by pinning the individual elements or by pinning the page of the live report. The visual maintains the filter setting chosen when the report is saved when pinning the individual components. By choosing slicers and filters, pinning the Live Report page enables the dashboard user to communicate with the visual.Components in Power BIThere are four major components in Power BI which play an important role in delivering Power BI capabilities- Power BI Desktop:Power BI Desktop is free software that allows you to connect, convert and visualize your information on your local desktop. You can connect to various distinct information sources with Power BI Desktop and combine them (often called modeling) into a data model that allows you to create graphics and collections of images that you can share with other individuals within your organization as records. Most users working on Business Intelligence projects use Power BI Desktop to generate reports and then use Power BI to share their reports with others.Power BI Gateway:The on-site Power BI gateway can be used to maintain your information fresh by linking to your on-site information sources without moving the information. It enables you to query big datasets and take advantage of current investments. By linking to your on-site information sources without the need to transfer the information, you can keep your information fresh with the on-site gateways. Request big datasets and take advantage of current investments. The gateways provide the flexibility you need to satisfy your organization's individual requirements and needs.Power BI Mobile Apps:You can remain linked to your information from anywhere using Power BI mobile applications. For Windows, iOS, and Android platform, Power BI applications are accessible.Power BI Service:This is a cloud service for publishing Power BI accounts and visualization of information. It allows designers and BI experts to generate and distribute extremely formatted, pixel-perfect reports alongside their interactive Power BI content, becoming the first cloud BI solution combining the energy of self-service BI with traditional Enterprise BI scenarios ' requirements and capacities.There are other components as well which we should understand to get benefits of advanced capabilities of Power BI.Power Query:Mashup data and instrument for conversion. You can connect to many distinct information sources with Power Query in Power BI, turn the information into the form you want, and be able to generate reports and ideas rapidly. Power Query functionality is given in the Power Query Editor when using Power BI Desktop. Power Query is made available in Power BI Desktop through Power Query Editor. To launch Power Query Editor, select Edit Queries from the Home tab of Power BI Desktop.Power Q&A:Natural Language Question and Reply Engine. Sometimes asking a question using natural language is the fastest way to get a response from your information. The Power BI Q&A function allows you to use your own phrases to explore your information.  Q&A is discussed in distinct papers in the Power BI mobile applications and Q&A with Power BI Embedded.Power Map: 3D Geospatial Data Visualization Tool.Power Pivot:Power Pivot is an element that models information in memory that allows highly compressed data storage and incredibly quick aggregation and calculation. It is also accessible as part of Excel and can be used within an Excel workbook to build a data model. Power Pivot can load information on its own, or Power Query can load information into it. It is highly comparable to the tabular model of SSAS (SQL Server Analysis Services), which is like a Power Pivot server-based variant.Power View:Power View is an interactive visualization instrument that offers a drag-and-drop interface for users to quickly and easily create information visualizations in their Excel workbooks (using the Power Pivot data model).SSRS Reporting services 2016:The integration between SQL Serb Reporting and the Power BI Services takes SSRS tiles to a Power BI dashboard with planned SQL Server Agent updates. This integration gives you the tile from SSRS reports. Integrating SSRS reports into the Power BI service will generate a connection to comprehensive SSRS reports from the Power BI dashboard.Clusters in Power BI Architecture The Power BI service is based on Azure, the cloud computing platform of Microsoft. Power BI is currently being deployed in many data centers around the world–there are many active deployments made available to customers in the regions served by those data centers, and an equal number of passive deployments serving as backups for each active deployment.Each deployment of Power BI comprises of two clusters–a cluster of Web Front End (WFE) and a cluster of Back End. The following picture shows these two clusters :WFE Cluster:The WFE cluster manages the original Power BI link and authentication process using AAD to authenticate customers and provide tokens for subsequent Power BI customer links. Power BI also utilizes the Azure Traffic Manager (ATM) to guide customer traffic to the closest datacenter, which is determined by the client's DNS record trying to link, authenticate and download static content and files. Using the Azure Content Delivery Network (CDN), Power BI effectively distributes the required static content and files to customers based on geographic location.Backend Cluster:How authenticated customers interact with the Power BI service is the Back-End cluster. The Back-End cluster manages visualization, user dashboards, datasets, reports, data storage, information links, information refresh, and other elements of Power BI service interaction. The Role Gateway functions as a gateway between customer demands and the service Power BI. Users are not directly interacting with positions other than the role of the Gateway. The Gateway Role will ultimately be managed by Azure API Management.How Power BI can be a game-changer for the enterprise?Power BI combines centralized DW / BI strategies with cloud data sources and self-service tools through its data catalog and data management gateway, as no other platform has yet been able to do. And as a SaaS solution, all its functionality is packaged so that it can be easily implemented and used by any organization.  In brief, Power BI can speed up the adoption curve and make sophisticated BI Analytics as prevalent as Excel itself.Power BI provides all BI system stakeholders with game-changing capabilities: End-users:End-users wanted the capacity to access and evaluate information readily for a long time. The natural language query of Q&A and the smart visualization engine will do more to encourage each worker to use data as a basis for decision making.BI Analysts:Power Pivot provided power users with the capacity to create effective data models over big amounts of data, but the information required to "fit" into clean data models.  The data transformation and flexibility of Power Query further empowers analysts to rapidly create their own end-to-end alternatives.IT & Data Managers:BI self-service has always been a subject of push-pull. Everyone wants the instruments and data that consumers need to create excellent choices. However, good governance, safety, and auditing are often seen as a roadblock for power users to make progress.  The Power BI information catalog is interesting because it simultaneously encourages self-service and governance.Not every organization will move rapidly to embrace Power BI. For some, too much strategic shift will be represented too rapidly.  There may be truly regulatory or other reasons for others that prevent cloud-based systems from being considered. But setting up an accessible and robust BI platform was challenging and cost-prohibitive for many organisations.  Power BI can be the solution that ultimately makes sophisticated BI as simple and widely accepted as a search engine to use.
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The Architecture of Power BI

The main element of the drive to be agile, competi... Read More

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