POWER BI vs TABLEAU
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want.
Tableau is a visual analytics platform transforming the way we use data to solve problems-empowering people and organizations to make the most of their data.
Tableau was introduced in 2003 and grew into one of the most popular BI tools, while Power BI was more recently launched by Microsoft in 2011, and added to Office 365 in 2013.
Power BI generally works out cheaper than Tableau and even has a free version available for individual use. Their Pro paid plan costs $9.99 per month per user. Tableau's equivalent package starts at $70 per month per user.
Tableau: Tableau lets users create different types of baseline visualizations, including heat maps, line charts and scatter plots. It boasts an interface that doesn't require coding knowledge to develop sophisticated and complex visualizations. In addition, users have the ability to ask “what if” questions of the data, as well as the freedom to use any number of datapoints in their analysis.
Power BI: The tool makes uploading data sets a breeze. Users can choose numerous visualizations as blueprints, then insert data from a sidebar into the visualization. In addition, Power BI lets users create visualizations by asking queries with natural language. However, Power BI places a 3,500 datapoint limit when it comes to drilling down into datasets to conduct analysis.
Power BI is generally considered easier to use for newer users and those who are not data analysts. Tableau is more popular with experienced data analysts, as it's known to have a steeper learning curve. Check out our analysis of user reviews below for perceptions on both tools strengths and weaknesses.
Winner: Power BI
Overall Power BI has a slight advantage over Tableau, especially for users who are used to working with Excel and other Microsoft products.
Tableau comes first when considering deployment flexibility as it has more cloud-based and on-premises options. When huge data is stored in the cloud, Tableau works well.
Even though Power BI has both on-premises and cloud versions, it is limited to Azure in the cloud. This limits the level of flexibility that Power BI can offer.
Winner : Tableau
Tableau's deployment is not limited and hence makes it better when compared with Power BI.
Power BI has restricted access to other servers and databases ( SQL, SAP HANA, Oracle Database, etc.)
Tableau has access to a huge number of various servers and database sources including JSON, PDF, real statistical reports, Microsoft documents, SQL Server, MySQL, Oracle Redshift, the list goes on.
Winner:Tableau
Tableau does not have restrictions to access any datasources.
Features of Power BI are as follows:
• Content packs
• Print Dashboard
• Get data source
• Custom visualisation
• Natural language Q&A
Features of Tableau are as follows:
• Data Blending
• No need of technical knowledge
• Real-time analysis
• Data Collaboration
• DAX Analysis function
Winner: Power BI
Power BI is the leading data visualization tool when it comes to working with multiple data sources.
When it comes to customization Tableau has more satisfied users than Power BI. Tableau users specifically comment on customizing and tweaking charts, adding custom calculated fields and formulas, custom interactive dashboards, as well as “pivoting data in endless ways”.
Winner: Tableau
Tableau's strong customization options wins over Power BI's more limited offering.
Power BI users like the depth of filtering capabilities, allowing them to easily slice and dice data from various data sources. They also like that this functionality is similar to Excel and therefore feels familiar. In fact, almost twice as many Tableau users complain about its filtering functionality compared to Power BI.
Blue: Tableau | Orange: Power BI
Winner: Power BI
In an easy win, Power BI comes out on top for filtering thanks to its Excel similarities.
Power BI supports Data Analysis Expression and M language for data manipulation and data modeling. It can also connect to the R programming language using Microsoft revolution analytics, but it is available only for enterprise-level users.
Compared to Power BI, Tableau integrates much better with the R language. Tableau Software Development Kit can be implemented using any of the four programming languages - C, C++, Java, and Python. By connecting to these programming languages, you can build even more powerful visualizations.
Winner:Tableau
Tableau integrates better than power BI and also the programming languages that is needed is a basic language such as 'c' and other languages as mentioned above.
Power BI supports Data Analysis Expression and M language for data manipulation and data modeling. It can also connect to the R programming language using Microsoft revolution analytics, but it is available only for enterprise-level users.
Compared to Power BI, Tableau integrates much better with the R language. Tableau Software Development Kit can be implemented using any of the four programming languages - C, C++, Java, and Python. By connecting to these programming languages, you can build even more powerful visualizations.
Winner:Tableau
Tableau integrates better than power BI and also the programming languages that is needed is a basic language such as 'c' and other languages as mentioned above.
Power BI enjoys the advantages of Microsoft business analytics that includes platforms such as Azure Machine learning, SQL Server based Analysis Services, data streaming in real-time, and many Azure databases offers. It helps to understand the data and analyze the trends and patterns in the data.
Tableau supports the features of Python machine learning. This allows us to perform machine learning operations over the datasets and forecast data.
Winner: Tie!
Both Power BI and Tableau offer some machine learning capabilities.
Power BI tends to drag slowly while handling bulk data. Tableau can handle large volumes of data quickly. It is faster and provides extensive features for visualizing the data. Tableau doesn't limit the number of data points in visualization
or enforce row or size limitations, giving you a 360-degree view of your data.
Winner:Tableau
Again, Tableau takes the lead with fewer users reporting a slow service.
Finally it can be concluded that,both Power BI and Tableau doesn't work on the same ideologies and principles. So, it is challenging for us to decide which is best. The user should understand which one to choose according to his requirements. The above parameters are beneficial for the user to decide what to choose.