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Differences Between Power BI and Tableau: Power BI Vs Tableau Comparison

Power BI is a Data Visualization and Business Intelligence tool provided by Microsoft. It can collect data from different data sources like Excel spreadsheets, on-premise database, cloud database and convert them into meaningful reports and dashboards. Its features such as creating quick insights, Q&A, Embedded Report, and Self Service BI made it top among all BI tools. It is also robust and always ready for extensive modeling and real-time analytics, as well as custom visual development.Tableau offers business analysts to take business decisions by its feature, data visualization available to all business users of any background. It can establish a connection with any data source (Excel, local/on-premise database, cloud database).Tableau is the fastest growing Data Visualization Tool among all visualization tools. Its visualizations are created as worksheets and dashboards. The beauty of tableau is that it does not require any technical or programming knowledge to create or develop reports and dashboards. Image SourceDifference between Power BI Vs TableauLet's put a difference between Power BI and Tableau in a tabular form:Power BITableauIt is provided by Microsoft.It is provided by Tableau.It is available at an affordable price.It is more expensive than power bi.Uses DAX for measures and calculated columnsUses MDX for measures and dimensions.Connect limited data sources but increasing its data source connectors in monthly updates.It can connect to numerous data sources.Can handle large data sets using Premium Capacity.Can handle large data sets.It Provides Account based subscription.It Provides Key based subscription.Embedding report is easy.Embedding report is a real-time challenge in tableau.1. Provider: Power BI is provided by Microsoft, whereas, Tableau products offers its products all business users of any background.2. Price:Power BI is available at an affordable price, whereas, Tableau is more expensive than Power BI.3. Analysis:Power BI uses DAX for measures and calculated columns, whereas, Tableau deploys MDX for measures and dimensions.4. Connect:Power BI connects limited data sources while increasing its data source connectors in monthly updates, whereas, Tableau can connect to numerous data sources.5. Capacity:Both Power BI and Tableau are capable of handling large data sets. Power BI handles these large data sets by using Premium Capacity.6. Subscription:Power BI provides Account based subscription, whereas, Tableau provides Key based subscription.7. Report:Embedding report is easy with Power BI, whereas, embedding report is a real-time challenge in Tableau.What is Power BI? Power BI is a Data Visualization & Business Intelligence tools that offer us to connect to single or multiple data sources and convert that connected raw data into impressive visual and share insights across an organization. It also offers us to embed the report into our application or website.Product Suite of Power BI:Power BI Desktop Free to download and install.Connect and access various of on-prem and cloud sources like Excel, CSV/Text files, Azure, SharePoint, Dynamics CRM, etc.Prepare by mashing up the data and create a data model using power query which uses M Query LanguageAfter loading data to Power BI Desktop can establish the relationship between tables.Create calculated measures, columns, and tables using Data Analysis eXpression(DAX).Drag & drop interactive visuals on to pages using calculated measures and columns.Publish to Power BI Web Service.Power BI ServiceThis is one of the ways to embed the reports within the Website under an organization.In the Power BI service forum, there are a collection of sections like Workspace, Dashboards, Reports, and Datasets.Can create our own workspace as My-Workspace which helps to maintain personal work in Power BI Service.Can pin number of Reports to a Dashboard to get together a number of meaningful Datasets for clear insight.In this we can interact with our data with the help of Q&A {natural language query.}Power BI Report ServerThis is one of the products to allow businesses to host Power BI reports on an on-premise report server.Can use the server to host paginated reports, KPI’s, Mobile reports and Excel workbook.Shared data sets and shared data sources are in their own folders, to use as building blocks for the reports.Power BI MobileOver Power BI provides mobile app services for IOS, Android and Windows 10 mobile devices.In the mobile app, you can connect to and interact with your cloud and on-premise data.It is very convenient to manage dashboard and reports on the go with your mobile app to stay connected and being on the same page with the organization.On-Premise GatewayThis is a bridge to connect your on-premise data to online services like Power BI, Microsoft flow, Logic App’s and Power App’s services, we can use a single gateway with different services at the same time.e.g.: - If you are using Power BI as well as Power App’s, a single gateway can be used for both which is dependent on the account you signed with it.The on-premises data gateway implements data compression and transport encryption in all modes.On-premises data gateway is supported only on 64-bit Windows operating system.Multiple users can be share and reuse a gateway in this mode.For Power BI, this includes support for schedule refresh and Direct Query.Image sourceWhat is Tableau?Tableau is a Business Intelligence & Data Visualization Tool that used to analyze our data visually. Users can create and share interactive reports & dashboards using it. It offers Data Blending to users to Connect multiple data sources.Product Suite of Tableau:Tableau ServerTableau Server is an enterprise-wide visuals analytics platform for creating interactive dashboards.It is essentially an online hosting platform to hold all your tableau Workbooks, Data sources and more.Being the product of tableau, you can use the functionality of tableau without needing to always be downloading and opening workbooks with tableau desktop.Can give security level permission to different work in an organization to determine who can access and interact with what.As a tableau server user, you will be able to access UpToDate content and gain quick insight without relying on static distributed content.   Tableau DesktopThis is a downloadable on-premise application for Computers and it is used for developing visualization in the form of sheets, Dashboards, and Stories.There are some useful functionalities of tableau desktop are: Data transformation, Creating Data Sources, Creating Extracts and Publishing Visualizations on tableau server.Tableau desktop produces files with extensions twb and twbx.It is a licensed product but comes with two weeks of the trial period.Starting from creating reports and charts to combining them to form a dashboard, all this work is done in tableau desktop.Tableau PrepTableau Prep is a personal data preparation tool that empowers the user with the ability to cleanse aggregate, merge or otherwise prepare their data for analysis in tableau.Tableau Prep has a simple and clean user interface that looks and feels like a final form of tableau desktop data sources screen.In Tableau Prep the data is stored in flow pane manner with has universal unique identifier [UUID] which can store big data sets in a secure way.Tableau ReaderTableau Reader is a free desktop application that you can use to open with data visualizations built in tableau desktop.It required to read and interact with tableau packaged workbooks.Tableau reader has the ability to retain interaction with visualization created in tableau desktop but will not allow connections to data which can be refreshed.It only supports to read tableau data files; without the reader, you may need to share it publicly or convert the workbook into a pdf format.Tableau OnlineTableau online is an analytics platform which is fully hosted in the cloud.It can publish Dashboards and share your discoveries with anyone.It has a facility to empower your organization to ask any question from any published data source using natural language.It can connect to any cloud databases at any time anywhere and it can automatically refresh the data from Web-App like Google analytics and salesforce.It empowers site admins to easily manage authentication and permissions for users, content, and data.Tableau PublicThis is a free service that lets anyone public interactive data visualizations to the web.Visualizations are created in the accompanying app Tableau Desktop Public edition which required no programming skills.It is for anyone who's interested in understanding data and sharing those discoveries as a data visualization with the world.It has some features highlights those are: - Heat Maps, Transparent sheets, Automatic Mobile Layouts, and Google Sheets.As visualization are public so anyone can access the data and make a change by downloading the workbook so it is totally unsecured.It has limitations of 15,000,000 rows of data per workbook.It has 10GB of storage space for your workbook which is kind of limitation towards storage.It supports Python with Tableau public called ‘Tabpy’, A new API that enables evaluation of python code within a tableau workbook  Image SourceStrengths & Weakness of Power BI:Strengths:Free Power BI Desktop application for authors to develop reportsUses DAX expressions for data calculationsFree Training Modules available for usersComposite Model (Direct Query, Dual, and Import) to connect dispersed multiple data sources and create a modelMultiple visuals in a single pageAlso has Drill Down-Drill Up in visuals, Drill through pages, Toggle page or visual using Bookmarks, selection pane & buttonsAbility to connect multiple data sourcesIt is affordable desktop – free and pro (Power BI Service to share and collaborate with other users in the organization) – $9.99Can integrate with Cortana – Windows Personal Voice AssistantPower BI has integrated with all Microsoft products (Azure, SharePoint, Office 365, Microsoft Dynamics, Power Apps, Microsoft Flow)Dataflow in power BI Service to connect to Azure Data lake storage 2 and other online services.Weakness:It is difficult for users who do not have knowledge of ExcelClients who use large data sets must opt for Premium Capacity services to avoid unpleasant experience with datasets and its users with performance and timeouts issuesPower BI service compatible with few database driversPower BI has got a large set of product options which make it complex to understand, which option is best suited for a Business.Strengths & Weakness of Tableau:Strengths:Tableau provides much beautiful visualization for which it stood top in the market among all BI tools.Quickly combine shape, & clean the data for analysis.It provides Data Blending.Capable of Drill Down-Drill Up in visuals, Drill through pages and filters.It can handle a large amount of data.Uses Scripting languages such as R & Python to avoid performance and for complex table calculations.Can build reports, dashboards, and story using Tableau Desktop.Weakness:Tableau is expensive when compared to other tools.Scheduling or Notification of reports & dashboards.Importing Custom Visualization is a bit difficult.Complexity in embedding report to other applications.Tableau is suitable for Huge organization which can pay for licensing cost.Benefits of Power BIMicrosoft is a Brand. I hope everyone remembers the school or college days, the time when we started learning and using Microsoft products as they are very simple to understand and user-friendly. Hence, obvious that our eyes and brain are trained on all Microsoft products.One who has working experience excel can easily cope up with Power BI Desktop & Mobile in no time.Pin the visual available in Excel to Power BI Service Using Excel Add-on.Once can build swift & reliable reports by simply drag and drop both inbuilt/custom visuals and this URL for Best practices to make an optimum performance for the report.Accessibility of Colossal Learning Assets available Guided Learning in this URL.As Power BI belongs to Microsoft family, hence it has privileged with Single Sign-On (SSO) and also tight integration with Microsoft products like Dynamics 365, Office 365, SharePoint Online, Power Apps, MS Flow, Azure SQL Database, Azure SQL Data warehouse, Azure Analysis server database… etc.Power Query Many options related to wrangling and clean the data bring it as a perfect data model.Post publishing the data into Power BI web service can schedule refresh without manual intervention.Power BI backed superpower of with Artificial intelligence and Machine learningMicrosoft introduced Power Platform (Power BI to Measure, Power Apps to Act & Microsoft Flow to automate) and you can find more details in this URL.Forthcoming Road Map provided for Power BI by Microsoft available in this URL.Power BI is integrated with both Python and R coding to use visualizations.Power BI Desktop Free – $0.00 & Power BI Web Service (Azure) Pro – $9.99 MonthlyDisadvantages of Power BIPower BI desktop is the best tool to analyze your data while you connect using Direct query (or) Live connections and might struggle handle huge if you import data into the application and at times it might get hung or simply crashes. However, in future monthly updates, Microsoft Product team will surely resolve this problem.Benefits of TableauTableau can connect various sources, can effortlessly handle huge data and is a very good tool for Data visualization and create dashboards by simply drag and drop.Tableau supports Python and R languages for creating visuals.Tableau has spent its term as Leader in Gartner’s report URL from 2012 – 2018 and now moved to second place.Disadvantages of TableauTableau Creator – $70.00 & Tableau Online – $35 MonthlyTableau product team has not concentrated advanced technologies missed integrated with Artificial intelligence and Machine learning.Once pushed the reports to tableau online, it does not support scheduled refresh and one must refresh the data manually.Analyst must use only inbuilt visual available in Tableau and no option to import custom visuals from the portal. Instead, according to the requirement developers need to create custom visuals by themselves.To create a data model, data preparation options in Tableau is limited. For advance data wrangling and cleaning one must take the help of other tools like Excel, Python, R, or Tableau Prep.There is integration with other Microsoft products like Dynamics 365, Office 365, Power Apps, Microsoft Flow which uses Single Sign-On (SSO).What makes Power BI and Tableau the most popular tools in Business Intelligence and Data Visualization?Power BI & Tableau are most happening BI tools among all tools in business intelligence because of their features and capabilities like Embedded BI,  Data Blending, Multi Data Source connection like Cloud databases and on-premise databases. They make sharing of reports and dashboards for the users, easy. Business Analyst without even having to access these tools can access reports & dashboards and take critical business decisions.These two tools stood top in the BI market because of the attractive visualizations available. Power BI offers a feature of import of custom visual and creation of custom visual which is its beauty. These facts have made these BI tools most happening BI tools in the market till the date.According to Gartner Magic Quadrant for Analytics and Business Intelligence Platforms report, the 1st choice is Power BI and 2nd top choice is Tableau in BI Tool in the present market.Which one to choose, Power BI or Tableau?Data Analytics field has been changed over time from traditional bi practice embedded bi and collaborative bi. Initially, data analytics led by companies like IBM, Oracle, SAP but now this is not a situation. Now, this led by companies like Microsoft & Tableau because of their features like Embedded BI Collaborative BI, Data Blending, Multi Data Source Connection.Both Power BI and Tableau have their own Pros and Cons. The right product can be chosen based on touchstones & priority.TouchstonesPower BITableauDescriptionA cloud-based business intelligence platform which offers an overview of critical dataA collection of intuitive business intelligence tools used for data discoveryVisualizationProvides various visualizationsProvides a larger set of visualizations than Power BIOS supportOnly WindowsWindows and Macintosh OSGraphical featuresRegular charts, graphs, and mapsAny category of charts, bars, and graphsCostCheaperCostlyOrganizationSuitable for Small, Medium & Large type of OrganizationSuitable for Medium & Large type of Organization
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Differences Between Power BI and Tableau: Power BI Vs Tableau Comparison

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Differences Between Power BI and Tableau: Power BI  Vs Tableau Comparison

Power BI is a Data Visualization and Business Intelligence tool provided by Microsoft. It can collect data from different data sources like Excel spreadsheets, on-premise database, cloud database and convert them into meaningful reports and dashboards. Its features such as creating quick insights, Q&A, Embedded Report, and Self Service BI made it top among all BI tools. It is also robust and always ready for extensive modeling and real-time analytics, as well as custom visual development.

Power BI Dashboard

Tableau offers business analysts to take business decisions by its feature, data visualization available to all business users of any background. It can establish a connection with any data source (Excel, local/on-premise database, cloud database).

Tableau is the fastest growing Data Visualization Tool among all visualization tools. Its visualizations are created as worksheets and dashboards. The beauty of tableau is that it does not require any technical or programming knowledge to create or develop reports and dashboards.

Tableau Dashboard

 Image Source

Difference between Power BI Vs Tableau

Let's put a difference between Power BI and Tableau in a tabular form:

Power BITableau
It is provided by Microsoft.It is provided by Tableau.
It is available at an affordable price.It is more expensive than power bi.
Uses DAX for measures and calculated columnsUses MDX for measures and dimensions.
Connect limited data sources but increasing its data source connectors in monthly updates.It can connect to numerous data sources.
Can handle large data sets using Premium Capacity.Can handle large data sets.
It Provides Account based subscription.It Provides Key based subscription.
Embedding report is easy.Embedding report is a real-time challenge in tableau.

1. Provider: 

Power BI is provided by Microsoft, whereas, Tableau products offers its products all business users of any background.

2. Price:

Power BI is available at an affordable price, whereas, Tableau is more expensive than Power BI.

3. Analysis:

Power BI uses DAX for measures and calculated columns, whereas, Tableau deploys MDX for measures and dimensions.

4. Connect:

Power BI connects limited data sources while increasing its data source connectors in monthly updates, whereas, Tableau can connect to numerous data sources.

5. Capacity:

Both Power BI and Tableau are capable of handling large data sets. Power BI handles these large data sets by using Premium Capacity.

6. Subscription:

Power BI provides Account based subscription, whereas, Tableau provides Key based subscription.

7. Report:

Embedding report is easy with Power BI, whereas, embedding report is a real-time challenge in Tableau.

What is Power BI? 

Power BI is a Data Visualization & Business Intelligence tools that offer us to connect to single or multiple data sources and convert that connected raw data into impressive visual and share insights across an organization. It also offers us to embed the report into our application or website.

Product Suite of Power BI:

  • Power BI Desktop 
    • Free to download and install.
    • Connect and access various of on-prem and cloud sources like Excel, CSV/Text files, Azure, SharePoint, Dynamics CRM, etc.
    • Prepare by mashing up the data and create a data model using power query which uses M Query Language
    • After loading data to Power BI Desktop can establish the relationship between tables.
    • Create calculated measures, columns, and tables using Data Analysis eXpression(DAX).
    • Drag & drop interactive visuals on to pages using calculated measures and columns.
    • Publish to Power BI Web Service.
  • Power BI Service
    • This is one of the ways to embed the reports within the Website under an organization.
    • In the Power BI service forum, there are a collection of sections like Workspace, Dashboards, Reports, and Datasets.
    • Can create our own workspace as My-Workspace which helps to maintain personal work in Power BI Service.
    • Can pin number of Reports to a Dashboard to get together a number of meaningful Datasets for clear insight.
    • In this we can interact with our data with the help of Q&A {natural language query.}
  • Power BI Report Server
    • This is one of the products to allow businesses to host Power BI reports on an on-premise report server.
    • Can use the server to host paginated reports, KPI’s, Mobile reports and Excel workbook.
    • Shared data sets and shared data sources are in their own folders, to use as building blocks for the reports.

Power BI Report Server

  • Power BI Mobile
    • Over Power BI provides mobile app services for IOS, Android and Windows 10 mobile devices.
    • In the mobile app, you can connect to and interact with your cloud and on-premise data.
    • It is very convenient to manage dashboard and reports on the go with your mobile app to stay connected and being on the same page with the organization.
  • On-Premise Gateway
    • This is a bridge to connect your on-premise data to online services like Power BI, Microsoft flow, Logic App’s and Power App’s services, we can use a single gateway with different services at the same time.

e.g.: - If you are using Power BI as well as Power App’s, a single gateway can be used for both which is dependent on the account you signed with it.

  • The on-premises data gateway implements data compression and transport encryption in all modes.
  • On-premises data gateway is supported only on 64-bit Windows operating system.
  • Multiple users can be share and reuse a gateway in this mode.
  • For Power BI, this includes support for schedule refresh and Direct Query.

Product Suite of Power BI

Image source

What is Tableau?

Tableau is a Business Intelligence & Data Visualization Tool that used to analyze our data visually. Users can create and share interactive reports & dashboards using it. It offers Data Blending to users to Connect multiple data sources.

Product Suite of Tableau:

  • Tableau Server
    • Tableau Server is an enterprise-wide visuals analytics platform for creating interactive dashboards.
    • It is essentially an online hosting platform to hold all your tableau Workbooks, Data sources and more.
    • Being the product of tableau, you can use the functionality of tableau without needing to always be downloading and opening workbooks with tableau desktop.
    • Can give security level permission to different work in an organization to determine who can access and interact with what.
    • As a tableau server user, you will be able to access UpToDate content and gain quick insight without relying on static distributed content.   
  • Tableau Desktop
    • This is a downloadable on-premise application for Computers and it is used for developing visualization in the form of sheets, Dashboards, and Stories.
    • There are some useful functionalities of tableau desktop are: Data transformation, Creating Data Sources, Creating Extracts and Publishing Visualizations on tableau server.
    • Tableau desktop produces files with extensions twb and twbx.
    • It is a licensed product but comes with two weeks of the trial period.
    • Starting from creating reports and charts to combining them to form a dashboard, all this work is done in tableau desktop.
  • Tableau Prep
    • Tableau Prep is a personal data preparation tool that empowers the user with the ability to cleanse aggregate, merge or otherwise prepare their data for analysis in tableau.
    • Tableau Prep has a simple and clean user interface that looks and feels like a final form of tableau desktop data sources screen.
    • In Tableau Prep the data is stored in flow pane manner with has universal unique identifier [UUID] which can store big data sets in a secure way.
  • Tableau Reader
    • Tableau Reader is a free desktop application that you can use to open with data visualizations built in tableau desktop.
    • It required to read and interact with tableau packaged workbooks.
    • Tableau reader has the ability to retain interaction with visualization created in tableau desktop but will not allow connections to data which can be refreshed.
    • It only supports to read tableau data files; without the reader, you may need to share it publicly or convert the workbook into a pdf format.
  • Tableau Online
    • Tableau online is an analytics platform which is fully hosted in the cloud.
    • It can publish Dashboards and share your discoveries with anyone.
    • It has a facility to empower your organization to ask any question from any published data source using natural language.
    • It can connect to any cloud databases at any time anywhere and it can automatically refresh the data from Web-App like Google analytics and salesforce.
    • It empowers site admins to easily manage authentication and permissions for users, content, and data.
  • Tableau Public
    • This is a free service that lets anyone public interactive data visualizations to the web.
    • Visualizations are created in the accompanying app Tableau Desktop Public edition which required no programming skills.
    • It is for anyone who's interested in understanding data and sharing those discoveries as a data visualization with the world.
    • It has some features highlights those are: - Heat Maps, Transparent sheets, Automatic Mobile Layouts, and Google Sheets.
    • As visualization are public so anyone can access the data and make a change by downloading the workbook so it is totally unsecured.
    • It has limitations of 15,000,000 rows of data per workbook.
    • It has 10GB of storage space for your workbook which is kind of limitation towards storage.
    • It supports Python with Tableau public called ‘Tabpy’, A new API that enables evaluation of python code within a tableau workbook  

Product Suite of Tableau

Image Source

Strengths & Weakness of Power BI:

Strengths:

  • Free Power BI Desktop application for authors to develop reports
  • Uses DAX expressions for data calculations
  • Free Training Modules available for users
  • Composite Model (Direct Query, Dual, and Import) to connect dispersed multiple data sources and create a model
  • Multiple visuals in a single page
  • Also has Drill Down-Drill Up in visuals, Drill through pages, Toggle page or visual using Bookmarks, selection pane & buttons
  • Ability to connect multiple data sources
  • It is affordable desktop – free and pro (Power BI Service to share and collaborate with other users in the organization) – $9.99
  • Can integrate with Cortana – Windows Personal Voice Assistant
  • Power BI has integrated with all Microsoft products (Azure, SharePoint, Office 365, Microsoft Dynamics, Power Apps, Microsoft Flow)
  • Dataflow in power BI Service to connect to Azure Data lake storage 2 and other online services.

Weakness:

  • It is difficult for users who do not have knowledge of Excel
  • Clients who use large data sets must opt for Premium Capacity services to avoid unpleasant experience with datasets and its users with performance and timeouts issues
  • Power BI service compatible with few database drivers
  • Power BI has got a large set of product options which make it complex to understand, which option is best suited for a Business.

Strengths & Weakness of Tableau:

Strengths:

  • Tableau provides much beautiful visualization for which it stood top in the market among all BI tools.
  • Quickly combine shape, & clean the data for analysis.
  • It provides Data Blending.
  • Capable of Drill Down-Drill Up in visuals, Drill through pages and filters.
  • It can handle a large amount of data.
  • Uses Scripting languages such as R & Python to avoid performance and for complex table calculations.
  • Can build reports, dashboards, and story using Tableau Desktop.

Weakness:

  • Tableau is expensive when compared to other tools.
  • Scheduling or Notification of reports & dashboards.
  • Importing Custom Visualization is a bit difficult.
  • Complexity in embedding report to other applications.
  • Tableau is suitable for Huge organization which can pay for licensing cost.

Benefits of Power BI

  • Microsoft is a Brand. I hope everyone remembers the school or college days, the time when we started learning and using Microsoft products as they are very simple to understand and user-friendly. Hence, obvious that our eyes and brain are trained on all Microsoft products.
  • One who has working experience excel can easily cope up with Power BI Desktop & Mobile in no time.
  • Pin the visual available in Excel to Power BI Service Using Excel Add-on.
  • Once can build swift & reliable reports by simply drag and drop both inbuilt/custom visuals and this URL for Best practices to make an optimum performance for the report.
  • Accessibility of Colossal Learning Assets available Guided Learning in this URL.
  • As Power BI belongs to Microsoft family, hence it has privileged with Single Sign-On (SSO) and also tight integration with Microsoft products like Dynamics 365, Office 365, SharePoint Online, Power Apps, MS Flow, Azure SQL Database, Azure SQL Data warehouse, Azure Analysis server database… etc.
  • Power Query Many options related to wrangling and clean the data bring it as a perfect data model.
  • Post publishing the data into Power BI web service can schedule refresh without manual intervention.
  • Power BI backed superpower of with Artificial intelligence and Machine learning
  • Microsoft introduced Power Platform (Power BI to Measure, Power Apps to Act & Microsoft Flow to automate) and you can find more details in this URL.
  • Forthcoming Road Map provided for Power BI by Microsoft available in this URL.
  • Power BI is integrated with both Python and R coding to use visualizations.
  • Power BI Desktop Free – $0.00 & Power BI Web Service (Azure) Pro – $9.99 Monthly

Disadvantages of Power BI

Power BI desktop is the best tool to analyze your data while you connect using Direct query (or) Live connections and might struggle handle huge if you import data into the application and at times it might get hung or simply crashes. However, in future monthly updates, Microsoft Product team will surely resolve this problem.

Benefits of TableauBenefits of Tableau

  • Tableau can connect various sources, can effortlessly handle huge data and is a very good tool for Data visualization and create dashboards by simply drag and drop.
  • Tableau supports Python and R languages for creating visuals.
  • Tableau has spent its term as Leader in Gartner’s report URL from 2012 – 2018 and now moved to second place.

Disadvantages of Tableau

Tableau Creator – $70.00 & Tableau Online – $35 Monthly

  • Tableau product team has not concentrated advanced technologies missed integrated with Artificial intelligence and Machine learning.
  • Once pushed the reports to tableau online, it does not support scheduled refresh and one must refresh the data manually.
  • Analyst must use only inbuilt visual available in Tableau and no option to import custom visuals from the portal. Instead, according to the requirement developers need to create custom visuals by themselves.
  • To create a data model, data preparation options in Tableau is limited. For advance data wrangling and cleaning one must take the help of other tools like Excel, Python, R, or Tableau Prep.
  • There is integration with other Microsoft products like Dynamics 365, Office 365, Power Apps, Microsoft Flow which uses Single Sign-On (SSO).

What makes Power BI and Tableau the most popular tools in Business Intelligence and Data Visualization?

Power BI & Tableau are most happening BI tools among all tools in business intelligence because of their features and capabilities like Embedded BI,  Data Blending, Multi Data Source connection like Cloud databases and on-premise databases. They make sharing of reports and dashboards for the users, easy. Business Analyst without even having to access these tools can access reports & dashboards and take critical business decisions.

These two tools stood top in the BI market because of the attractive visualizations available. Power BI offers a feature of import of custom visual and creation of custom visual which is its beauty. These facts have made these BI tools most happening BI tools in the market till the date.

According to Gartner Magic Quadrant for Analytics and Business Intelligence Platforms report, the 1st choice is Power BI and 2nd top choice is Tableau in BI Tool in the present market.

Tableau in BI Tool in the present market

Which one to choose, Power BI or Tableau?

Data Analytics field has been changed over time from traditional bi practice embedded bi and collaborative bi. Initially, data analytics led by companies like IBM, Oracle, SAP but now this is not a situation. Now, this led by companies like Microsoft & Tableau because of their features like Embedded BI Collaborative BI, Data Blending, Multi Data Source Connection.

Both Power BI and Tableau have their own Pros and Cons. The right product can be chosen based on touchstones & priority.

TouchstonesPower BITableau
DescriptionA cloud-based business intelligence platform which offers an overview of critical dataA collection of intuitive business intelligence tools used for data discovery
VisualizationProvides various visualizationsProvides a larger set of visualizations than Power BI
OS supportOnly WindowsWindows and Macintosh OS
Graphical featuresRegular charts, graphs, and mapsAny category of charts, bars, and graphs
CostCheaperCostly
OrganizationSuitable for Small, Medium & Large type of OrganizationSuitable for Medium & Large type of Organization


Nawal

Nawal Kishore

Blog Author

MS Power BI Consultant, Tutor, Technical writer with experience Project Management.

In Total around 13 years of experience in Information Technology domain, of which 3+ years of experience as Technical Project Manager. Skills include computer networking, database administration, reporting and analytical thinking, creative problem solving and Instructor. Apply customer service concepts to IT to improve user experience for clients, employees and administration.

Also experienced as Power BI Consultant at Tech Mahindra,Tutor as Part time at 4junctions, ClassOn, Sanaari Software Solutions Private Limited, and Technical Writer at Knowledgehut.com

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4 comments

Surya 22 May 2019

Thank you Nawal for this Informative article. Keep up the good work!

Sai Sankar 22 May 2019

A very good article that any one can easily understand, thanks for sharing this valuable inputs.

Sonia 18 Jun 2019

Thanks for sharing this amazing blog.It is really an informative post.

samuvel raj 08 Jul 2019

Thanks for addressing the major difference between power bi and tableau I got some clarity on the differences thanks Nawal for such kind of useful blog.

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Top 6 Tips To Learn Tableau

If you deal with a significant amount of data at work, then Tableau is surely a must-have tool for you. It is not only a data visualization software but it is also considered to be among the best tools available for business intelligence.  So, is it easy to learn? Well, learning Tableau requires the same amount of time, effort and dedication that you need to learn any of the statistics tools. Here are a few tips to help you to pace up your learning process of Tableau.Tip 1: Download and install Tableau Begin your data visualization journey by downloading and installing Tableau. It offers five main products that cater to diverse visualization needs for professionals as well as organizations. They are: Tableau Desktop: Created for individual use Tableau Server:  It enables collaboration for any organization Tableau Online: For Business Intelligence in the Cloud Tableau Reader: Allows you to read files saved in Tableau Desktop Tableau Public: Enables you to publish interactive data online. You can start by downloading the trial version of Tableau Desktop that’s free for 14 days. Just follow the steps to install it into your system. Once your free trial is over after 14 days, you can continue with your data visualization journey with Tableau public which comes with its own limitations of sharing your data publicly. Tip 2: Enroll for a Tableau training Confused about how to begin your Tableau journey? You can always enroll for training with a reputed training institute like KnowledgeHut to learn Tableau at a rapid pace. These courses are created by practitioners and enable you to learnin depth about each of the steps needed to complete tasks . Moreover, you will get guidance from industry experts.  Enrolling for training further gives you real-world experience while exposing you to the practical ways of solving business problems. Tip 3: Learn Tableau with large and clean data    Increase your pace of learning Tableau by diving deep into the data, using large and clean data sets for producing incredible visualization.  Tableau provides a public gallery where you can find Tableau workbooks.  The Tableau workbooks consist of various data visualization sheets and data extracts. You can quickly mimic the filters, formulas as well as graphs in order to improve your skills. You can also look for trends, relationships, and insights by using the fresh datasets available. Tip 4: Visualization and Analysis So, how does Tableau help you? Its primary motive is to build fantastic visuals, and the platforms are specially designed in order to communicate data insights through visuals.  But why do you need analytics skills in Tableau? Well, it is essential for you to develop analytical skills in order to master Tableau, as it is one of the core skills you need for your visualization career. Further, you need to use the charts and diagrams in order to make effective use of Tableau. You can expect to find yourself lost while trying many things at one time, but be sure that you will soon gain proficiency in the tools you need.  Tableau restricts the user from selecting charts that are not in line with the visual best practices. Tip 5: Be a part of the community Got stuck while working with Tableau? Fret not! You can choose from hundreds of Tableau communities to make your learning more effective. These communities are filled with data scientists, hobbyists, as well as visual data artists whom you can approach in order to learn Tableau as a beginner or even as a professional. Tip 6: Get introduced to Tableau Server and Online It is very essential for you to learn to schedule the tasks as well as provide authorization in order to enable data security by using Tableau server and online. Although this should be taken care of by Tableau administrator, having the knowledge of these concepts helps you in dashboard development.  On a concluding note Data analytics plays a crucial role in terms of business analytics and Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tools. One of the other reasons for its popularity is that it’s fast to deploy, easy to learn, and very intuitive to use for a customer. This blog introduces you to a few tips to simplify your Tableau learning process. Moreover, these tips will provide you with a structured approach in order to pace up your learning of Tableau. Wish you all the best for your Tableau journey! 
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Top 6 Tips To Learn Tableau

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15 Major Benefits of Power BI

Power BI is a cloud-based business analytic solution, which is used to analyze data from a wide range of data sources. It is simple to use as well as user-friendly. The insights obtained can be shared across an organization and can be rooted in the organization’s app or website. With Power BI, you can create as well as productive with the reports and analytics.  With Power BI, you can mash up data as per your need as it has a very powerful mashup engine.  With In-Memory super fast engine in Power BI, you can model the data, add measured or calculated columns or build a star schema on your own. With the help of data visualization elements, visualize data and customize it to tell a story behind the data. Work with Azure/cloud as well as On-premises based data sources. You can do more than this with Power BI, which you can’t with other products this easily.The following lists some of the valued competencies of Microsoft Power BI tool:1. Integrates smoothly with the existing applications:With Power BI, you can easily adopt analytics and reporting capabilities as Power BI easily integrates with your current business environment.2. Personalized dashboards:The information dashboard can be customized according to the needs of an enterprise. To provide unified user experience, the dashboards and BI reports can be easily embedded in the application.3. No memory or speed constraints:While shifting an existing BI system to a powerful cloud environment with Power BI embedded, there aren’t any memory or speed constraints which ensure that the data can be quickly retrieved and analyzed.4. Publish reports securely:With tool available in Power BI, you can set up automatic data refresh and publish reports securely, which allows users to resort to the latest information.5. Specialized technical support is not required:There isn’t any need for specialized technical support as Power BI provides agile inquiry and analysis. It supports the use of intuitive graphical designer tools and natural language interface.6. Balanced simplicity and performance:The DAX scripting language and in-memory analysis technology depicts that there is a balance between simplicity and performance.7. Extracts business intelligence rapidly:Transform your enterprise data into rich visuals, hence extracting business intelligence for better decision making.8. Supports Advanced Data services:The Microsoft Power BI consulting tool can be integrated with advanced cloud services like Bot framework or Cortana.9. Your data can be accessed easily:Along with Microsoft techs such as SharePoint document or SQL databases, Power BI integrates with non-Microsoft solutions as well. PowerBI connects to around 60 common software solutions that businesses already use and draws a centralized, easy-to-digest dashboard. To name a few: Spark, Hadoop, SAP, Google Analytics, Salesforce, etc.10. Easy implementation:The demand for engineering or IT resource is less in order to implement Power BI. Sometimes there are instances where no engineering is required at all. Managers create an API key and plug it into the software.11. Low costs and fast turnarounds:By analyzing recent data, businesses can make informed decisions on the growing and underperforming market. Moreover, businesses can perform analysis internally so that money can be saved.12. Innovation is Constant:New functions and features are updated every month in Power BI products.  13. Power BI Reports can be viewed across multiple platforms and devices:You can access your Power Bi reports from your mobile device as well as a laptop, as long as you have an internet connection. Native apps are made available for iOS, Android and Windows devices.14. Drag-and-Drop functionality:You can create your own ad-hoc reports through drag-and-drop functionality, which is a very easy process.15. Growing online Power BI community: Power BI is used by more than 200,00 organizations and has over 5 million subscribers. The online community has grown tremendously over the past few years, where people share their ideas on building dashboards.To Conclude:The ever-growing set of tools that Power BI contain holds the potential to provide with real, compelling and actionable insights from data, via dashboard-style reports. Power BI has various benefits that can help you and your organisations improve on your business intelligence. With this, you now have a clear picture of various working ways of Power BI, which will help you execute the same.
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15 Major Benefits of Power BI

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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

Why Data Visualization?Data visualization in layma... Read More