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Data is an integral part of every business that is collected and stored in databases for record-keeping and analysis. When used meaningfully, data can provide information for companies that urge them to make strategic decisions, and smart planning will skyrocket revenues.
Teams for Data analysis and business intelligence continually work on data to make it more meaningful. Business intelligence software is one such way to make your existing data more meaningful.
Companies and professionals use business intelligence tools to speed up their planning and operations. Microsoft Power BI and Tableau are two of the top software in the market. Both are on par with each other to have their own benefits and limitations. Here is the guide if you are thinking about the best business intelligence software for your business.
One of the key features of Tableau is that it offers various visual representation techniques that are easy to understand
Power BI is a product of Microsoft with a single certification. But Tableau belongs to Salesforce and owns multiple certifications. While Power BI is an affordable tool, it is challenging to compare them.
After understanding features, we can compare power bi and Tableau based on deployment, user interface, data servers, connectivity, third-party integration, and other important factors.
| S.NO | Parameter | Microsoft Power BI | Tableau |
|---|---|---|---|
| 1 | Technology | A library of 200 DAX for calculating and measuring columns | MDX for measurements and dimensions |
| 2 | Volume of Data | Limited amount of Data | Handles vast volume of data without hindering operations |
| 3 | Usability | Useable only on Microsoft devices | Can be used in other operating systems like MAC OS |
| 4 | Deployment | UseableOn-premises and Azure | On-premises, Cloud-based, Big Data |
| 5 | Speed | Lags with a large volume of data | Fast even when processing a large volume of data |
| 6 | Third Party Integration | Google Analytics, Azure, Salesforce | Hadoop Databases |
| 7 | Programming Languages | DAX M programming language | R, C, C++, Java, and Python |
| 8 | ProgrammingIntegration to R-programming language | Indirect integration to R by the assistance of Microsoft Revolution Analytics | Direct integration with R |
| 9 | User Interface | Easy to learn and user friendly | Intelligent interface usable by professionals |
| 10 | Machine Learning | Azure Machine Learning and SQL Server based Analysis Services | Python Machine Learning |
| 11 | Data Sources | Limited Access | Good Connectivity |
| 12 | Embedding Report | Easy | Challenging |
| 13 | Used by | Medium and Large Organisations | Small and Medium Businesses |
| 14 | Community | Limited Support | Extensive Support |
| 15 | Cost | Cheaper | Expensive |
Depending upon your business operations, you can perform Tableau to power bi migration and vice versa.
Usually, organizations perform migration from Tableau to Power BI to reduce complexity, change reporting systems, and cut down costs.
While power bi to tableau migration is performed when an organization increases its capital or acquires several other organizations to perform under it.
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