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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

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

 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 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.

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  

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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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

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The Architecture of Power BI

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

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Tableau Vs QlikView

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

What is Tableau?Tableau stands as the most powerfu... Read More