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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.

Top 20 Data Visualization Tools

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  • by Ashish Kumar
  • 22nd Jul, 2019
  • Last updated on 11th Mar, 2021
  • 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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In this article, we'll look at the top certifications for Business Analysis, understand what the benefits of earning a business analyst certification are, and a few reasons why it's a good idea to get certified.In addition to Business Analysis Certifications, this article will also detail Business Analytics certifications – which is basically advanced level certifications for Business Analysts who already possess the Business Analysis Certifications and want to advance their career in the business Analytics stream.Certification name and explanationIn this article, we will discuss about below 12 certifications that are for Business Analysis and Business Analytics:Affiliation BodyCertification NameInternational Institute of Business AnalysisCertified Business Analysis Professional (CBAP®)Certification of Capability in Business Analysis™ (CCBA®)Entry Certificate in Business Analysis™ (ECBA™)Agile Analysis Certification (IIBA®-AAC)Certificate in Cybersecurity Analysis (IIBA®- CCA)Certification in Business Data Analytics (IIBA®- CBDA)This is an Advanced Analytics certificationInternational Qualification Board for Business AnalysisIQBBA – Foundation LevelIQBBA – Advanced LevelProject Management InstitutePMI Professional in Business Analysis (PMI-PBA)®International Requirements Engineering BoardCPRE – Foundation Level, Advanced Level and Expert Level1. 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CBAP® recipients are senior members of the Business Analyst community.Benefits:It demonstrates you have the knowledge, competencies, and experience as a highly effective business analysis professional.It allows you to stand out to employers and peers by showcasing your dedication to your career and the profession of business analysis.CBAP certified professionals have higher compensation, and you should be earning up to 13% more being CBAP certified.You will get better fulfilment and higher confidence at work.Demand:CBAP Certified Professionals are in very high demand in the IT, banking, manufacturing sectors, and other growing industries.Salary:A CBAP earns an average salary in range of $90,000 - $120,000 every year.Industries hiring CBAP Professionals:Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for CBAP:Training should be taken from an IIBA® EEP (Endorsed Education Provider). The EEPs also give the much-needed PDUs (Professional Development Units) on completion of the training, and guidance in form filling for the exam.Who should take CBAP training:Individuals with significant experience in Business AnalysisIndividuals with a CCBA™ designationProduct ManagersNon-BA consultantsTrainersHybrid Business Analysis professionals, including: Project Manager, Testers, Quality Assurance (QA) professionals, Change/Transformation Managers, and DesignersDuration:You should spend 4-6 months for studies and then attempt the examination.Course Fee:The Course fee ranges from $250-$400 from the IIBA EEP (Endorsed Education Provider).Application Fee:$125Exam Fee:$325 for members, $450 for non-members.Retake Fee:$250 for members, $375 for non-members.Refer to for the details on application fee, exam fee and Retake fee for CBAP Certification.2. 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The EEPs also gives the much-needed PDU’s (Professional Development Units) and guidance in form filling for the exam.Who should take ECBA training:  Business Analyst AspirantsProduct ManagersNon-BA consultantsTrainersHybrid Business Analysis professionals, including: Project Manager, Testers, Quality Assurance (QA) professionals, Change/Transformation Managers, and DesignersDuration:  You should spend 2-4 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$350 from the IIBA EEP (Endorsed Education Provider).Application Fee:  $60Exam Fee:  $110 for members, $235 for non-members.Retake Fee:  $85 for members, $195 for non-members.Refer to for the details on application fee, exam fee and Retake fee for ECBA Certification.4. Agile Analysis Certification (IIBA®-AAC)IIBA awards the Agile Analysis Certification (IIBA®-AAC) to Agile professionals who have passed the exam. 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The EEPs also gives the much-needed PDUs (Professional Development Units) on course completion, and guidance in form filling for the exam.Who should take IIBA-AAC training:  This certification recognizes the competencies of BA professionals with two to three years’ experience executing analysis-related work in an agile context.Duration:  You should spend 2-4 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$350 from the IIBA EEP (Endorsed Education Provider).Exam Fee:  $250 for members, $375 for non-members.Retake Fee:  $200 for members, $325 for non-members.Refer to for the details on application fee, exam fee and Retake fee for IIBA-AAC Certification.5. Certificate in Cybersecurity Analysis (IIBA®- CCA)IIBA awards Certificate in Cybersecurity Analysis (IIBA®- CCA) to cybersecurity professionals who have passed the exam. 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The EEPs also gives the much-needed PDUs (Professional Development Units) on course completion, and guidance in form filling for the exam.Who should take IIBA®- CBDA training:  This certification recognizes the competencies of BA professionals with five plus years’ experience executing analysis-related work in an analytical context.Duration:  You should spend 4-5 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $300-$350 from the IIBA EEP (Endorsed Education Provider).Exam Fee:  $450 325for members, $575 375for non-members.Retake Fee:  $400 200for members, $525 325for non-membersRefer to for the details on application fee, exam fee and Retake fee for IIBA-CBDA Certification.7. IQBBA – Foundation LevelIQBBA awards IQBBA – Foundation Level certification as a base qualification in the BA field. This certification would help you to learn the basics of Business Analysis and Requirements Engineering.Benefits:  You would be equipped with effective elicitation of requirements from users who may not actually know what they need  You would learn the proper ways of documentation of the requirementsYou would know how to help a set of users through the process of user acceptance testing  You would know how to reduce requirement maintenance time by using effective analysis techniquesDemand:  IQBBA - Foundation Certified Professionals are in high demand in all the domains that require the business analysis activities by the mid-level business analysts.  Salary:  An IQBBA – Foundation Level earns an average salary in range of $25,000 - $40,000 every year.Industries hiring IQBBA – Foundation Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for IQBBA – Foundation:  Training should be taken from the accredited training providers listed at: Who should take IQBBA – Foundation training:  This training should be taken by business and system analysts, requirements engineers, product owners and product managers. IQBBA also expects the participants to have a basic experience in solution concept, design or development.Duration:  You should spend 2-3 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$300 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from EUR 150 to EUR 200 as per exam location selectionRefer to for Exam fee per locationRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and process8. IQBBA – Advanced LevelIQBBA awards IQBBA – Advance Level certification as an advanced qualification in the BA field. The Advanced Level aim to further improve the Foundation Level skills acquired by business analysts who have gained the Foundation level certification. The Advanced Level helps in developing more advanced skills in the specific knowledge area of IQBBA Business Analysis approach – for example, in the scope of Requirements Management.Benefits:  You would be more proficient in Business analysis Process management, Requirements Management and Strategic analysis and optimization.Demand:  IQBBA - Advanced Certified Professionals are in high demand in all the domains that require the business analysis activities by the senior-level business analysts.  Salary:  An IQBBA – Advanced Level earns an average salary of $75,000 every year.Industries hiring IQBBA – Advanced Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for IQBBA – Advanced:  Training should be taken from the accredited training providers listed at:  Who should take IQBBA – Advanced training:  This training should be taken by senior level business and system analysts, requirements engineers, product owners and product managers. IQBBA also expects the participants to have a basic experience in solution concept, design, or development.Duration:  You should spend 3-4 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$300 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from EUR 150 to EUR 200 as per exam location selectionRefer to for Exam fee per locationRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and process9. PMI Professional in Business Analysis (PMI-PBA)®Project Management Institute (PMI)® awards the PMI Professional in Business Analysis (PMI-PBA)® certification to professionals who have the requisite experience and have passed the rigorous exam. This certification is very suitable for you if you work with project teams and manage requirements or product development, or if you’re a project or program manager who performs business analysis as part of your role.Benefits:  For those business analysts who work with stakeholders in defining requirements, shaping project outputs and driving intended business outcomes, the PMI Professional in Business Analysis (PMI-PBA)® will help in spotlighting your valuable skills.Demand:  PMI-PBA professionals are in high demand in all the domains that require the business analysis as well as support the project management activities.  Salary:  A PMI-PBA earns an average salary of $85,000 every year.Industries hiring PMI-PBA Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for PMI-PBA:  You should enrol in a formal study course offered by PMI chapters or Authorized Training Partners. You can also review self-study books published by Authorized Training Partners and other reputable training organizations.Who should take PMI-PBA training:  Business Analyst AspirantsProduct ManagersNon-BA consultantsTrainersHybrid Business Analysis professionals, including: Project Manager, Testers, Quality Assurance (QA) professionals, Change/Transformation Managers, and DesignersDuration:  You should spend 4-5 months for studies and then go for examination.Course Fee:  The Course fee ranges from $300-$500 from the accredited trainers.Application Fee:  $0Exam Fee:  $405 for members, $555 for non-members.Retake Fee:  $275 for members, $375 for non-members.10. Certified Professional for Requirement Engineering – Foundational, Advanced and Expert LevelThe International Requirements Engineering Board (IREB) awards the Certified Professional for Requirement Engineering – Foundational Level, Advanced Level and Expert level certifications. This certification is suitable for business analysts who want to excel at the requirement engineering concepts.Benefits:  Those business analysts who work with stakeholders in defining requirements, after gaining this certification will find themselves equipped with techniques and best practices of requirement engineering.Demand:  CPRE-FLs, ALs and ELs are in demand in all the domains that require experts in  business analysis and requirements engineeringSalary:  CPRE certified professionals earns an average salary of $75,000-$100,000 every year.Industries hiring CPRE-FL, AL and EL Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for CPRE-FL, AL and EL: You should enrol in a formal study course offered by IREB or Authorized Training Partners.Who should take CPRE training:  Attending a CPRE training course is recommended but not mandatory. The training providers recognized by IREB can prepare participants optimally for the exam.Duration:  You should spend 2-3 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$250 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from USD 140 to EUR 180 as per authorized training partner you are taking study guidance and exam Refer to, and for exam detailsRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and processSummaryAs you can see, we’ve given you a ready reckoner of the top BA certifications in this article. The certification that is best for you should be chosen based on the experience that you have, how much study you need to put in, as well as the knowledge you need for your chosen career path. All the certifications mentioned in this article have helped thousands of professional in excelling in their careers.
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SSRS Vs Power BI

SSRS and Power BI are both Business Intelligence tools specially designed to present data to the end user. Since both are part of the Microsoft BI stack, they are equipped with a different set of audiences and applied in different practices.Before we discuss the differences between the two, let’s first understand each of these clearly.What is SSRS?SQL Server Reporting Services (SSRS) is a server-based comprehensive extensible reporting platform that comes free with SQL Server 2012. It is one of the most powerful tools for several years. There are many features that can be used to create reports that suit customer requirements. The SSRS service provides an interface into Microsoft Visual Studio so that it can be connected to the SQL databases and use SSRS tools to format SQL in various complex ways.What is Power BI?Power BI is a business analytics service provided by Microsoft. It is a collection of apps, connectors, and software services that work together to turn your unrelated sources of data into coherent. Power BI lets you easily connect to your data sources and analyze what is important. It allows the user to have access to reports and personalized dashboards which provides a complete 360-degree view of the business from all the diverse sources.Main Differences Between Microsoft Power BI and SSRSFollowing are the major differences between “Microsoft Power BI and SSRS”BasisSSRSMicrosoft Power BIHistorySSRS was first introduced in the year 200 which provides a unified, server based, and scalable platform through which all the business reporting needs can be satisfied.Power BI report server is a cloud-based business analytics service introduced in the year 2017 for analyzing and visualizing data introduced in 2017.LicenseIt is paid device.It is free to utilize which will also reduce the acquisition barriers.ApplicabilitySSRS is used for producing the server-based reports.Power BI is used to produce cloud-based and server-based reports.DependencySSRS can work with structure and semi-structure of information.Power BI can manage structured and unstructured data. One of the best features of Power BI is the ability to save data to Excel.ConvenienceAccess to web and work area.Power BI can utilize through the work area, web, and mobile applications.ComponentSSRS is an enterprise visualization tool based on old technology.Power BI is HTML 5 open source app-enabled and cloud-enabled SAAS.NatureBecause of its rich graphical component, it is easy user-friendly.Power BI is less user-friendly.ImplementationSSRS implementation is complex compared to Power BI.Power BI uses cloud storage and simple implementation process.Size limitThere is no limit for the size of a data set.Whereas, it has a limit of 1GB data in the free version. You can create multiple datasets in it.SSRS and Power BI are the two leading business intelligence tools that organizations use around the globe designed to present data to the end user. Both are part of the Microsoft BI stack and geared towards different audiences and intended to be consumed in different manners. SSRS is a server-based reporting platform that provides comprehensive reporting functionality for a variety of data sources where Power BI is a cloud-based service. Since Power BI is meant for an advanced and modern solution it invites users to get started with it themselves rather than SSRS. The users who are only concerned with reports can opt for SSRS. But, if the users need more insight then it’s good to go with Power BI. It’s not about the tool, but it’s all about the impact that we achieve.The following image will help you understand better the differences between Microsoft Power BI and SSRSYou can also understand the differences between Power BI and Tableau here.Why SSRSFollowing are the few main reasons to choose SSRS:SSRS allows better and more accurate decision-making mechanism for the usersIt allows users to interact with information without involving any IT professionalsIt is an intensified tool compared to other crystal reportsIt provides a host of security featuresWhy do we need Power BI?Here are some of the key benefits of using Power BI:A large amount of data can be processedHelps in transforming your enterprise data into rich visualsLess engineering resources to useIt can be embedded into your own custom appsConclusionThe choice between Power BI and SSRS can be decided completely based on requirements. It depends on your organization if it used paginated reports on premises then SSRS will be a more cost-effective option. On the other hand, if you already have SQL Server Enterprise Edition with Software Assurance then Power BI Reporting Services will likely to be your preferred choice.Do you want to create dashboards and reports automatically without having to depend on information technology staff or database administrators? Don't waste any more time you can take up Power BI course!. This Power BI training will definitely help you in creating outstanding reports!
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SSRS Vs Power BI

SSRS and Power BI are both Business Intelligence t... Read More

Limitations of Power BI

Every business wishes to establish its brand in the market as well as grow exponentially. This is where business intelligence plays a crucial role, as it is a very important factor in the process of branding and other decision-making processes. To help you with an effective decision-making process and get down to conclusions, Microsoft presents with a very riveting analytics tool, Power BI. The primary tools of Power BI include Power Query, which is used for extraction and transformation; Power Pivot, which is used to model and analyze; Power View and Map, which is used to visualize data. The Power BI Designer combines various separate tools into an all-in-one application, that removes all its dependencies to Excel or Office. The PowerBI Site or service,  PowerBI.com is widely used to share reports, datasets and dashboards.Apart from these,  Power BI allows various other tools which will be very advantageous for you. But, there are a few cons as well. Read along to know what are the limitations of PowerBI that you might come across while working. Limitations of Power BI1. Microsoft Excel power users will benefit bestIt can be noted that most of the business users that you will come across will not be a power user of Microsoft Excel. In case the end-users of your business intelligence model are business users, then it should be noted that Microsoft Power BI will be very challenging to use, especially if you are not a Microsoft Excel power user. 2. Complex in natureThis is one of the major drawbacks as Microsoft has designed Power BI in a very complex manner. Power BI has a long list of components and it is difficult to understand which component you may need. To name a few, there’s Power Bi Desktop, the Power BI Gateway, the Power BI Services,  etc. Moreover, there are no moving parts available for this software, which might make you spend a lot of time and energy trying to figure out the function of each part. This makes the product even more challenging to troubleshoot, which leads to an increase in the total cost of ownership. 3. Data qualityMicrosoft Power BI does not provide with any data cleansing solution. Meaning, it assumes that the data you are pulling has been cleaned up well in advance, and is of high quality. So, in case you need data cleansing aptitude, you might need to look for an alternate solution to cleanse your data. 4. Does not handle large data sources properlyIf you have a large data set which needs to be analyzed, Microsoft Power BI will not be the best option for you. You might face trouble in connecting and importing large datasets, as well as problems such as slow performance and time-outs. 5. Performance IssuesSometimes Power BI might face performance issues as it has been observed that it has not been able to process more than 20000-30000 rows without running into issues for some queries. It might just timeout during the processing. To opt-out of facing this issue, you can create multiple queries in order to cover the full range of data, and split them up according to the dates. 6. Bulky User InterfaceThe formula help window and side par often block the view of vital, making the user interface of Power BI to be very bulky.  The making of scrolling dashboard will require a lot of efforts since it is not a native feature.7. Limited Sharing of Data Reports and dashboards can be shared only with those users who have the same email domains or the ones who have their email domains listed in your Office 365 tenant.To sum it all up, if your organisation is Microsoft favoured and has a group of Microsoft Excel power users, then the chances are very high that Power BI will work well within your organisation. Professionals who work on charts, pivot tables, and formulas in Excel can use  Power BI to quickly convert data into information. Have you employed Power BI or Power BI Pro? Leave your comment below to share your experiences with us!
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Limitations of Power BI

Every business wishes to establish its brand in th... Read More