Search

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

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

7K
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

Join the Discussion

Your email address will not be published. Required fields are marked *

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.

Suggested Blogs

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!
10185
Limitations of Power BI

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

Top 10 Business Intelligence Tools

Global business companies, top leaders, and developing businesses, all believe in the power of informed decision-making. With the advent of technology and data science, this decision-making power in businesses is witnessing all new heights. Business Intelligence (BI) tools give businesses the evidence to make informed decisions. The latest business intelligence tools are designed in such a way that every aspect of the end-user is considered and the data, critically analyzed, to produce the best results.  What are Business Intelligence Tools?Business Intelligence tools are tools devised to comprehend the huge quantities of data that organizations accumulate using data science. The tools help companies retrieve, analyze, and transform raw data into resourceful business insights. This is further disintegrated into actionable reports that guide them in decision-making. Various tools are available for data visualization, data warehousing, creating dashboards, and reporting. Key aspects like purchasing patterns, market trends, and customer-psyche are derived using these tools. In this process, companies understand their customers better and can predict precise revenue growth and preventive actions against business pitfalls.Traditionally, business intelligence was gathered from quarterly or yearly reports, but with enhanced technologies, the latest BI tools have introduced a continuous, iterative cycle. Business plans are made regularly and can be populated in mere minutes.  Let us look at the top trending business intelligence tools that most of the companies are using today.  Top 10 Business Intelligence Tools SAS Business Intelligence SAS business intelligence is a self-service tool popular for its advanced predictive analytics. It helps companies use APIs for customization and high-level data integration, along with the protection of business data with security issue identification, and advanced analytics and reporting.  Yellowfin BI This tool is mobile-friendly and gives access to ‘end-to-end’ analytics, empowered with visualization, machine learning, and collaboration. It also has handy features like intuitive filtering and dashboards.  Zoho Analytics Customization is the key differentiator in this tool. It is apt for creating in-depth, personalized reports. Its automatic data sync feature with periodic scheduling and AI-powered assistant help in hassle-free blending and merging of data.  Microsoft BI and Power BI These tools are web-based and are available in SharePoint with interactive reports running on PowerPivot. Their 3 key differentiators include the dataset, dashboard, and report generator. It is popularly used for analysis, reporting, and master data services.  Tableau Tableau is a free BI tool useful for data discovery and data visualization. It removes the intervention of IT and makes it easy for the user to analyze, visualize, and share data. A variety of data sources like Oracle, MS SQL, Google Analytics, Microsoft Excel, and SalesForce are supported. Oracle BI It is an enterprise performance management system with an integrated query, reporting, and analysis of data. Its distinct features are data alerting, integration, and management in one go. IBM Cognos This tool is ideal for larger companies as it supports the entire analytics cycle. It provides cloud support, mobile support, and online as well as offline reports. It presents a visualized report of the data interpreted using its AI, by automatically analyzing hidden patterns of the raw data. SAP Business Intelligence SAP business intelligence tool has been popular for years among businesses of all sizes. Its biggest advantage lies in its transformation of relational databases, which can be used for improved performance, administration, lower cost estimation, and real-time predictive analytics.  QlikView & QlikSense  These two tools are Qlik’s BI tools creating interactive dashboards, visualizations, and apps. An entire relay of the data is visible in one glance, with drag-and-drop options and natural search, allowing instant responses to interactions and changes.  MicroStrategy MicroStrategy is a prominent name in the business intelligence industry and comes with a host of features for data visualization, analytics, Big Data integration, OLAP (Online Analytical Processing), document management, and decision services.  Data Analysis with BI With new tools to access deeper and wider data, the demand for business intelligence analysts is growing rapidly. BI analysts are the bridge between the business and the customer and help in shaping business strategies to meet the ever-evolving customers’ needs. According to Payscale, the average annual salary of a BI analyst is approximately $68,336 in the US. Individuals and data analysts across industries can apply for these roles, and help businesses deal with one of their biggest challenges – customer satisfaction and retention. 
3855
Top 10 Business Intelligence Tools

Global business companies, top leaders, and develo... Read More

Top 11 Best Practices of Power BI

Are you trying to improve the performance and security of enterprise-grade   Power BI implementations? Well, you can do that by implementing the best practices of Power BI. There are numerous Power BI based dashboards that are used by thousands of enterprise users every day in order to drive operations as well as marketing. This article intends to introduce you to 11 best practices of Power BI.1. Limit the visuals in dashboards and reportsDo you know what slows the report performance? The Microsoft Power BI performance best practices highlight that placing many visuals in a single report is responsible for it. This is what you need to do in order to limit the number of visuals in dashboards and reports:Limit to a minimum of eight widget visuals in every report page and keep the grids to a minimum of one in every pageThe pages should be limited to no more than 30 points (cards: 1, gauges: 2, charts: 3, maps: 3, grids: 5)Keep the tiles limited to no more than 10 per dashboard.2. Remove unnecessary interactions between visualsWant to know the secret of  improving Power BI report performance? Here’s a hint! You can make that possible by removing unnecessary interactions between visuals. This is possible because of the reason that all visuals on a report can interact with one another by default. The interactivity should be controlled and modified for optimal performance.Further, you can reduce the number of queries fired at the backend and improve report performance by disabling unwanted interactivity.3. Enable Row-Level Security (RLS)Power BI only imports the data that the user is authorized to view, with RLS that restricts user access to certain rows in a database depending on the characteristics of the user executing a query.But how to attain substantial performance gains? You can enable this by combining Power BI roles with roles in the backend. Moreover, you need to test all roles prior to rolling out to production.4. Use Microsoft AppSource certified custom visualsThe Power BI certified custom visuals are verified by Microsoft to have robust as well as well-performing code. These AppSource visuals have passed rigorous quality testing and are the only custom visuals that can be viewed in Export to PowerPoint and email subscriptions.5. Avoid using hierarchical filtersYes, that’s what you need to do when you observe poor performance in Power BI. Are you getting bothered by high page load times while using hierarchical filters? Try this! Remove the hierarchical filters. Experience an enhanced performance in Power BI by using multiple filters for the hierarchy.6. Categorize the data for Power BI reportsOne of the best practices in Power BI is to provide data categorization for the Power BI reports (HBI, MBI, LBI). The Power BI data classification enables you to raise user awareness about the security level that is required to be used. This also helps you to understand the way reports should be shared inside as well as outside the organization.The categories can be listed as:HBI or High Business Impact data, that requires users to get a policy exception to share the data eternally.LBI or Low Business Impact as well as MBI or Medium Business Impact, that do not require any exceptions.7. Use the On-premises data gatewayIt is suggestible as well as one of the best practices to use on-premises data gateway instead of Personal Gateway for it takes data and imports it into Power BI. But why Enterprise Gateway? It is more efficient while you work with large databases as Enterprise Gateway imports nothing.8. Use separate Power BI gateways for “Direct Query” and “Scheduled Refresh”As you know that using the same gateway for Scheduled Data Refresh and Live Connection slows down the Live Connection performance when the Scheduled Data Refresh is active. It is suggestible for you to create separate gateways for Live Connection and Scheduled Refresh to avoid such issues.9. Test each custom visual on a report for ensuring fast report load timeThe Power BI team doesn’t thoroughly test the custom visuals that are not certified. So, while handling large datasets or complex aggregations, the custom visuals might perform poorly.What should you do when the chosen visual performs poorly? You can overcome the issue by using an alternative visual. Ensure fast report load time by testing each custom visual on a report for performance.10.Limit complicated measures and aggregations in data modelsIncrease the likelihood of improved performance by pushing calculated columns and measures closer to the source wherever possible. Moreover, you need to create calculated measures instead of calculated columns while using star schema in order to design data models.11. Import what’s necessaryWhy do you need to import entire datasets, when you can keep the model as narrow and lean as possible by importing only necessary fields. Power BI works on columnar indexes where longer and leaner are preferred.To concludeThe above are the top 11 best practices that you need to understand to smoothly approach with all the Power BI reporting as well as analysis. Further, it is recommended for you to follow each of these best practices in every piece of work that you do inside of Power BI. You should also gain an understanding of how the work is done as well as try to incorporate them into your own work. On a concluding note, wish you all the best for your successful Power BI developments with these best practices by your side!
7178
Top 11 Best Practices of Power BI

Are you trying to improve the performance and secu... Read More