Business When it comes to making business decisions, intelligent tools are crucial. Comparing Power BI vs Tableau, each tool has its own set of capabilities, benefits, and drawbacks.
It all relies on the demands and requirements of the company. If your company needs to examine a small amount of data with limited capability, Power BI is the method to go because it is less expensive than Tableau.
When dealing with large amounts of data from numerous sources and need statistics and data visualization, Tableau is the preferable option.
Overview of Power BI vs Tableau Comparision
|Power BI Platforms||Tableau Platforms|
Features Comparison: Power BI vs Tableau
- Analyzing Multiple Measures
- Data Representation And Modeling
- User Interface
- Data Sources
- Programming Support
- Machine Learning
What Is Tableau?
Tableau is a visual analytics tool that revolutionizes how we solve data problems. It gives people and organizations the tools they need to make the most of their data.
Tableau, a product of Salesforce, bills itself as “the world’s most popular modern analytics platform.” It was the first BI company to include data visualization in its product.
It’s well-known in the business for its attractive data visualizations. Its ability to handle larger volumes of data with greater efficiency.
Although Tableau Public, their free product, has limited features. There are a variety of price alternatives to fit most business budgets.
What Are The Different Tableau Platforms And Their Features?
1. Tableau Desktop
- Unlimited data exploration is fueled by live visual analytics. Interactive dashboards allow you to reveal hidden insights quickly.
- Connect to on-premises or cloud-based data. Without writing code, you can access and merge diverse data. Advanced users can pivot, separate, and manipulate metadata to optimize data sources.
- A beautiful dashboard isn’t enough for exceptional analytics. Use trend analyses, regressions, and correlations to make your case for tried and proven statistical comprehension.
- It combines database and computer graphics technology to allow you to analyze large datasets on your laptop.
- Tableau Server or Tableau Online can be used to share visuals and underlying data securely.
- Built-in postal codes allow for lightning-fast mapping in over 50 countries worldwide. Also, customized geographies, such as sales zones. Use custom geocodes and parts.
- Swap out the static slides for real-time storytelling that others can interact with. Create a fascinating story that encourages all of your collaborators to ask their questions.
2. Tableau Server
- Tableau Server allows you to extend the value of your data across your whole enterprise.
- Tableau is famous among IT departments because of its ease of use, robust integration, scalability simplicity, and high reliability.
- Use artificial intelligence to explain data points with a single click. Explain Data enables you to discover insights you might not have discovered otherwise.
- On-premises or in the cloud, securely connect to any data source.
- Manage all of your metadata and security policies in one place. Provide your users with access to shared and curated data sources.
- Tableau works in tandem with your current security policies. Authentication can be managed at the user and group levels.
- Tableau Server allows you to link into your existing data infrastructure with ease.
3. Tableau Online
- Tableau Online is an entirely cloud-based analytics application. Create dashboards and share your findings with the world.
- Tableau Online is a completely hosted solution, which means you won’t have to worry about configuring servers, managing software upgrades, or scaling hardware capacity.
- Empower your teams to use natural language to ask questions about any published data source.
- Allow users to browse interactive dashboards from any location.
- Connect to databases in the cloud, such as Amazon Redshift and Google BigQuery.
- Admins will easily handle authentication and permissions for users, content, and data.
- Tableau Data Management makes it easier to manage data in Tableau Online, ensuring that only reliable data is used to make choices.
4. Tableau CRM
- Work more effectively, notice trends sooner, predict results and get AI-based advice on the best next steps while remaining in the flow.
- Take action on a record by using the action framework to collaborate in Chatter, update records, and share visualizations with the team.
- Because Tableau CRM is built on top of Salesforce, data can be seamlessly integrated into every action and decision made there.
- For quick decision-making, integrate trustworthy predictive models into your Tableau workflows.
5. Tableau Public
- Tableau Public enables you to investigate the possible art using data on any subject.
- Follow authors on Tableau Public to get notified when new visualizations are published.
- It dramatically aids my ability to perceive what is feasible and apply new techniques to my work.
- A drag-and-drop interface connects to data in various formats to build attractive, interactive infographics.
- Tableau Public visualizations can be downloaded or viewed in a browser.
- Connect with others to pick up new tips and gain constructive feedback on your Tableau and data visualization skills.
6. Tableau Data Management
- Tableau Data Management gives you the visibility and control you need to keep your data safe.
- Tableau Data Management assures everyone that the correct data is being analyzed.
- Learn about virtual connections, row-level security, and more.
- With a data management option designed just for and by Tableau, you can get even more out of your data and analytics environment.
- By operationalizing and automating your data management, you may enable self-service data prep and analytics with more simplicity.
7. Tableau Server Management
- Tableau Server Management makes big, mission-critical Tableau Server deployments easy to manage.
- Monitoring based on thresholds allows you to keep track of the health of your deployment.
- With the Tableau Content Migration Tool, you can simplify and streamline your workbook and data source content workflows.
- Customers can store their Tableau Server metadata repository externally for big deployments hosted on AWS or Azure.
- Customize which nodes conduct background jobs to improve the performance of your deployment.
8. Tableau Prep
- Tableau Prep transforms how data preparation is done in an organization.
- You may access row-level data, column profiles, and your whole data preparation process in three coordinated views.
- Change the join type and immediately see the result. You can see your data change quickly with each activity, even if you have millions of rows of data.
- Tableau Prep Builder uses fuzzy clustering to turn repetitious procedures like grouping pronunciation into one-click actions.
- Whether a database or a spreadsheet, connect to data on-premises or in the cloud.
- For improved business results, easy sharing minimizes friction and aids in bridging the gap between data preparation and analytics.
- Tableau Server or Tableau Online can be used to share data sources securely.
- To see the health of flows throughout the server, use the Status page, Admin Views, and run histories.
What Is Power BI?
Power BI began as an Excel add-on and has evolved into cloud-based business intelligence and data visualization tools. Its stated goal is to “build a data-driven culture with business intelligence for everyone.”
Power BI accomplishes this by utilizing Microsoft systems such as Excel, Azure, and SQL, making it a no-brainer for individuals using Microsoft products. The platform features over 100 connectors and drag-and-drop functionality, making it simple to use.
What Are The Different Power BI Platforms And Their Features?
1. Power BI Desktop
- Data can be accessed from hundreds of on-premises and cloud-based sources. With Power BI Desktop, you can create comprehensive, actionable insights for various scenarios.
- You can save time and make data preparation easier with data modeling tools. In Power BI, you can import, convert, integrate, and enrich data.
- Advanced users can completely control their models using the sophisticated DAX formula language.
- Power BI’s new AI capabilities don’t require any coding. It allows all of your Power BI users to uncover previously undiscovered, actionable insights.
- Publish to the cloud or on-premises from Power BI Desktop. Power BI Desktop reports can be embedded into existing apps or web pages.
2. Power BI Pro
- Use conversational language to effortlessly explore data and obtain relevant answers to questions expressed in your terms.
- Using pre-built data visualization and report templates, get immediate insights from your favorite apps.
- With an intuitive, familiar experience, encourage data exploration and insight sharing.
- With centrally managed, role-specific data protection and row-level security, you can help prevent data loss.
- With national clouds, you may comply with local requirements on service delivery, data residency, access, and control.
- Ensure that your data complies with industry compliance standards and certifications.
3. Power BI Premium
- When everyone has access to information, decision-making can be accelerated.
- Scale your needs change with managed cloud infrastructure that ensures workload performance and minimizes downtime.
- To increase productivity and accuracy, prepare data once and reuse it across several Power BI models.
- Deploy in whatever place you want, including national clouds, to meet data residency rules.
- Use a per-user license to get self-service BI and advanced analytics.
- Access Premium features in the best method for your company, or provide essential teams access to self-service BI tools.
4. Power BI Mobile
- Access data stored on-premises in SQL Server or data in the cloud. You can have a 360-degree view of data using Power BI Mobile apps.
- Use natural language queries to ask your data questions and geographic location to filter your data based on your location.
- Use your touch-enabled screen to easily mark reports to call your team’s attention to new insights.
- Receive push notifications on your device for personal data alerts.
- With Microsoft Intune’s mobile device and application control features, you can keep your company’s data safe.
5. Power BI Embedded
- Adopt decades of analytics experience and gain access to Microsoft’s ongoing investment in analytics and AI.
- You may choose the best approach to visualize your data with out-of-the-box, verified, and custom-built visualizations.
- Get hands-on experience with sample code or integrate your report in the Power BI embedded analytics playground.
- Your users can make decisions from anywhere using visualizations that are optimized for desktop and mobile.
- Pay as little as $1/hour for analytics and scale as your company grows.
6. Power BI Report Server
- Create an on-premises BI environment and deliver reports behind your company’s firewall.
- Enhance your on-premises reporting infrastructure while remaining certain that it is part of a comprehensive, cloud-ready solution.
- Use a freeform drag-and-drop canvas and current data visualisations to examine data visually.
- Directly publish reports to Power BI Report Server. Organize your reports into folders, control access, and make changes as needed.
- To address various business needs, share reports for your consumers to consume on the web and mobile devices.
Thorough Comparison Between Microsoft Power BI Vs Tableau BI
1. Geography: Power BI VS Tableau Which Is Better
The Superstore demo is one of the demos offered with the tool. It’s a standard sales dashboard with various countries, product types, and categories.
This map shows us the profit ratios by geography. We can see that Oregon has some negative profitability in the tooltip, and we can look at each state separately.
You constantly begin by opening a Tableau sheet with only one visualization. You start with that, and then you can expand on it with the many possibilities available.
Tableau recognizes that we want to interact with geography when double-clicking the State measure. It’s straightforward to add the Sales measure and generate an elemental analysis with only a few clicks.
Individual state sales are depicted in this graph. The name of the country, state, and sales income is displayed in the tooltip.
Power BI, like Tableau, recognizes the value of displaying a map. You can select between a conventional map with values shown as circles and a Filled Map, which colors individual sections, similar to Tableau.
We’ll also need to set up Data colors in Power BI to achieve a similar effect. These can be found in the Format tab’s Visualizations pane. Go to the Data color area and click on it.
A new window appears once you click the formula button to choose the colors for each specific measure. Select the Profit ratiometric and change the color from orange to blue.
2. Analyzing Multiple Measures: Power BIVs Tableau Medium
Target vs. Sales
Tableau always takes up the entire area when you add a new measure. It means that everything was off when it introduced the sales.
To accentuate the variance, synchronize the axes and then conceal the sales bars.
I’d like to examine revenue and profit by quarter and category. I’ll include these metrics in my worksheet.
By changing the color of profits, you may make the image more intuitive. You may achieve this by changing the colors of the SUM(Profit) Mark. Instead of a gradient, you might make it a step to emphasize essential facts.
The Matrix graphic is the suggested method for working with data like this. Fill in the rows with Category and Sub-Category measures and the Column placeholder with Quarter measures.
This matrix can be designed using conditional formatting to display data bars for the Profit ratio measure. You may also change the colors for positive and negative numbers to turn this table into a more appealing presentation and data combo.
While this isn’t an actual distinct chart, conditional formatting in a matrix is an excellent alternative to Tableau.
3. Tooltips: Tableau Dashboard VS Power BIDashboard
Tableau’s tooltips are pretty adaptable. To change the appearance and feel of your tooltips, go to the Marks section and select the Tooltip button.
You’ll be given an edit box where you may input whatever you want and adjust the wording in any way you wish. You can change the font, size, and other elements as needed to accentuate or de-emphasize something.
By clicking the Insert button and selecting Tooltip, I was able to add a completely new chart to the tooltip. It allows you to assess the success of particular cities in the same manner that you assess the performance of individual states.
The report page tooltip is a comparable notion. You’ll need to build a new page, which will appear in a different graphic tooltip.
In Power BI, set up the tooltips. These can be found in the Format tab’s Visualizations pane. Set the Type box to the Report page and then pick the Tooltip A value beneath the Page value in the Tooltip section.
Some of the choices aren’t available at all with Power BI. It is most likely why some advanced users are hesitant to migrate to Power BI.
4. Data Representation And Modeling: Microsoft Power BI VS Tableau
Tableau also allows users to create dashboards tailored to a given device. It provides real-time insights through interactive visualizations.
It can convert queries into visualizations and prompt you to ask questions, see trends, and recognize possibilities. Tableau requires no prior knowledge to use because it has built-in table computations for creating reports and dashboards.
Drag and drop functionality is available in Power BI. It has elements that make data more appealing to the eye. Power BI allows you to generate reports and dashboards with detailed and attractive visuals.
You may ask questions about your data and get meaningful answers with the Power BI service.
5. User Interface: Power BI VS Tableau, Which Is Easy To Learn
Tableau features an intuitive user interface that allows you to design and configure dashboards to meet your specific needs. It features a welcoming workspace that invites you to explore data and develop clever solutions.
There are various cards and shelves, a toolbar, a sidebar, a data source page, a status bar, and sheet tabs in the workspace area.
Power BI has an easy-to-use user interface and can be readily connected with other Microsoft applications. The Power BI interface is simple to learn and use.
It is simple to use and allows you to work more efficiently. The report, the data, and the model view are the three views available on the left side of the canvas in Power BI Desktop.
6. Performance: Power BI VS Tableau Prep
Tableau is capable of fast processing enormous amounts of data. It’s speedier, and it has a lot of options for displaying data.
Tableau doesn’t restrict the data points in visualization or impose row or size restrictions, allowing you to see your data from every angle.
It’s simple to use Power BI. When the amount of data is reduced, it is speedier and performs better. When working with large amounts of data, Power BI tends to lag.
7. Power BI Cost VS Tableau Pricing
Tableau is more costly. Tableau Creator is about $70 per month, and Tableau Viewer is about $15 per month. Tableau Explorer costs roughly $42 per month.
Tableau software is more expensive than Power BI. The professional version of Power BI costs less than $10 per user per month. The cost of a yearly subscription is approximately $100.
Power BI Premium costs $20 per user to $4,995 per capacity and is licensed by dedicated cloud compute and storage resources.
8. Data Sources: Power BI VS Tableau Pros And Cons
Tableau offers access to a variety of data sources and servers. Excel, Text File, PDF, JSON, statistics file, Amazon Redshift, Cloudera Hadoop, Google Analytics, Google Sheets, Google Drive, and others are among the formats supported.
In comparison to Tableau, Power BI offers a variety of data sources but has limited access to other databases and servers. Examples are Access DB, Oracle Database, Microsoft Excel, Text/CSV, Folders, MS SQL Server, IBM DB2, MySQL database, PostgreSQL database, and more.
9. Programming Support: Power BI VS Tableau
Tableau works significantly better with the R programming language. The Tableau Software Development Kit can be written in any programming language: C, C++, Java, or Python.
You can create even more sophisticated visualizations by connecting to these computer languages.
Power BI supports the Data Analysis Expression and M languages for data manipulation and modeling. Microsoft Revolution Analytics may also link to the R programming language.
Only enterprise-level users have access to it.
10. Machine Learning: Power BI VS Tableau
Tableau is compatible with Python machine learning features. It enables us to apply machine learning techniques to the datasets and forecast data.
Power BI benefits from Microsoft’s business analytics. It comprises Azure Machine Learning, SQL Server-based Analysis Services, real-time data streaming, and various Azure databases.
It aids in the comprehension of data and the analysis of trends and patterns.
Tableau and Power BI don’t share the same principles. As an outcome, deciding which is the best is difficult. It is heavily dependent on the size and scope of the company. Both the Power BI and Tableau products operate admirably.
Is Tableau Or Power BI Easier?
Tableau is a little harder to master than the Power BI Interface. Power BI is more prevalent among consumers because of its ease of use.
Is Tableau Better Than Power BI?
Tableau BI can manage a large volume of data more quickly, but Power BI can only handle a small amount of data. In contrast to Power BL, Tableau performs best when there is a lot of data in the cloud. Tableau is a little harder to master than the Power BI Interface.
Which Is Better Career Growth Tableau Or Power BI?
Tableau and Power BI both have a firm grasp of data visualization and can use various methods. Data manipulation is easier using Power BI. Tableau can handle large data sets and is highly scalable. If data visualization is the primary goal, Tableau offers a distinct advantage.
What Can Tableau Do That Power BI Cannot?
Tableau Is Known For Its Data Visualization Capabilities, But Power BI Provides Many Data Points For Data Visualization. Tableau BI Has Improved Performance When Dealing With Large Amounts Of Data. Power BI Can Only Manage A Certain Amount Of Data.