This article has been updated for 2021
- Power BI comes at a lower price point than Tableau, but scaled features and additional users will increase that price.
- Tableau is built for data analysts, while Power BI is better suited to a general audience that needs business intelligence to enhance their analytics.
Table of contents
- Top business intelligence tools
- How is Tableau different from Power BI?
- Price comparison between Power BI and Tableau
- Deployment options
- Integrations and key connections
- Dashboards and BI reporting in Tableau vs. Power BI
- Extra BI and productivity features
- What is better: Tableau or Power BI?
The world of data visualization and analytics is moving fast with new players hitting the market and established brands absorbing smaller up and comers every day. To stay at the forefront of the data analytics field, a tool must have that special mix of power, ease of use, brand recognition, and price. Both of these tools have this secret sauce, which is why many teams find themselves comparing Microsoft Power BI vs Tableau when looking for the perfect data analytics tool.
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Top business intelligence tools
Power BI and Tableau are both recognizable names in the business intelligence space, but they may not be right for every business. To make your search easier, here’s a quick list of top BI software.
Get simple, actionable answers to fundamental questions. Toucan is the market leader (highest rated BI solution on G2 Crowd) in communicating insights to non-technical business decision-makers and users. Trusted by the likes of GE, IBM, Intel, Nestle and more, Toucan empowers people at all levels with simple yet comprehensive reporting, data visualization and data analysis applications. Use our platform to easily design and deploy an impactful data application as a team!
Tableau specializes in making beautiful visualizations, but much of their advertising is focused on corporate environments with data engineers and bigger budgets. There’s a public (free) version of the tool, but with limited capabilities. The more you pay the more you can access with Tableau, including benchmarked data from third parties. The software also has a non-profit tool and versions for academic settings.
Sisense is a business intelligence (BI) software that provides analytic solutions and market insights for small to enterprise-level businesses. Sisense is one of only a few fully-functioning BI software systems that let non-technologically inclined users combine multiple data sets, customize dashboards, generate data visualizations, and share them with other users. This web-based BI solution unifies data into one centralized location without the use of hardware or IT departments.
Domo is a powerful business intelligence (BI) software that delivers a wide data set and connector support. It provides unique social collaboration capabilities. Domo is designed to assist businesses in finding effective solutions in a world full of ever-changing business challenges. With Domo, users can see real-time data utilizing a single dashboard that is visually appealing and easy to use, helping businesses take informed actions from the insights gained.
Dundas BI is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end-users the ability to create interactive, customizable dashboards, build their own reports, run ad-hoc queries, and analyze into their data and performance metrics, regardless of programming experience. With Dundas BI, users get a flexible BI platform that enables users to gain more insight from their corporate data.
SAP BusinessObjects Business Intelligence is a centralized suite for data reporting, visualization, and sharing. As the on-premise BI layer for SAP’s Business Technology Platform, it transforms data into useful insights, available anytime, anywhere. Share insights and make better decisions with the SAP BusinessObjects Business Intelligence (BI) suite. By providing a flexible architecture, the analytics platform can support business growth.
SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better-informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics.
Looker is a business intelligence and data visualization platform made for companies with an existing data analytics team. Use their LookML to define business data, and then business users have the freedom to combine, drill down, and analyze that data in real time in dashboards and reports. Looker connects to existing company databases and keeps data up to date, and business users can use natural language that matches with the company’s custom LookML settings to build their own reports.
Qlik Sense is Qlik’s next-generation platform for self-service oriented analytics. It supports a full range of analytics use cases including self-service visualization and exploration, guided analytics apps and dashboards, custom and embedded analytics, mobile analytics and reporting, all within a governed multi-cloud architecture. It offers analytics capabilities for all types of users, including associative exploration and search, smart visualizations, data preparation, and more.
BOARD’s software is a powerful Business Intelligence and Corporate Performance Management solution. Its ‘toolkit’ design allows customers to create customized BI and CPM applications without the need for expensive and time-consuming programming. From simple reports and dashboards to extremely complex performance management applications, any report can be assembled with the intuitive drag-and-drop function, and the segments are automatically synchronized with data as it changes in real-time.
How is Tableau different from Power BI?
Power BI uses the existing Microsoft systems like Azure, SQL, and Excel to build data visualizations that don’t break the bank. This is a great choice for those who already work within the Microsoft products like Azure, Office 365, and Excel. It’s also a fairly good low-price option for SMBs and startups that need data visualization but don’t have a lot of extra capital.
Tableau specializes in making beautiful visualizations, but much of its advertising is focused on corporate environments with data engineers and bigger budgets. There’s a public (free) version of the tool, but with limited capabilities. The more you pay the more you can access with Tableau, including benchmarked data from third parties. The software also has a non-profit tool and versions for academic settings.
Price comparison between Power BI and Tableau
Overall, Power BI sits at a lower price point than Tableau, with a free version, a monthly subscription, and a scalable premium version with a higher price. Although it’s a Microsoft product, Power BI users don’t have to pay directly for Office365 to gain access to the tool’s admin center interface. However, there will be charges for subscriptions and users. The way Power BI is set up within the Microsoft ecosystem makes it pretty affordable, especially for those companies who are already deeply invested in Microsoft software.
Tableau’s pricing is a little more confusing, likely because they recently moved from a bulk purchase to a subscription model. The current pricing is a tiered system that distinguishes between different user types. There are creators that can make visualization models and add data sources, explorers that can edit existing visualizations to answer their own questions, and viewers that can look at the models that others have created. If you already have a lot of data on spreadsheets and want to spend the time exporting your data from third party tools before uploading to Tableau, the pricing per user is fairly reasonable but still higher than what you get with Power BI. However, if you want direct connections to your third party apps like Marketo, Google Analytics, Hadoop, or any Microsoft product, you’ll need to pay for the Professional edition.
Power BI comes in several forms: desktop, pro, premium, mobile, embedded, and report server. Depending on your role and needs, you might use one or all of these services to build and publish visualizations. The most basic setup is an Azure tenant (which you can keep even after your trial is over) that you connect to your Power BI through an Office365 Admin interface. Although that sounds daunting, most companies who use the software will already have the framework in place to get the server running quickly. Power BI is fairly easy to use, and you can quickly connect existing spreadsheets, data sources, and apps via built-in connections and APIs.
In addition to the free public product, Tableau also comes in several forms: individual, team, and embedded analytics plans, which are available on-premises, via a public cloud server, or a private cloud server. Tableau lets you set up your initial instance through a free trial, which gives you full access to the parts of the tool. From the opening dashboard, you’ll see a list of all of your available connections. Connect your data sources, and then you can start building a worksheet where your visualizations will live. If you’ve built your visualizations in Tableau Desktop, you can share them with your team via Tableau Server or Tableau Online.
Integrations and key connections
Power BI has API access and pre-built dashboards for speedy insights for some of the most-used technology out there like Salesforce, Google Analytics, email marketing, and of course Microsoft products. You can also connect to services within your organization or download files to build your visualizations. In order to connect any data to Power BI, use the “Get Data” button. You’ll need to go through a short authorization process in order to get fully connected.
Tableau invested heavily in integrations with popular enterprise tools and widely-used connections. You can view all of the connections included with your account level right when you log into the tool. Tableau’s connection interface is a little more involved than Power BI because you’ll need to identify which data to pull into the tool when you make the connection. It might be helpful to understand what data you want to look at and why before you start making those connections.
Can Power BI connect to Tableau?
Some companies elect to use both Tableau and Power BI to improve their data visualizations. If that describes your company, you may want the option to examine Power BI models or datasets in Tableau. You can connect the two, although you may run into some issues if you have multi-factor authentication enabled or if a session remains idle for too long. Before attempting to connect the two, you’ll also need to make sure you have the latest versions of both platforms installed so that they can communicate correctly.
Dashboards and BI reporting in Tableau vs. Power BI
Power BI has real-time data access and some pretty handy drag-and-drop features. The whole tool is built to speed up time to visualizations, and it gives even the most novice users access to powerful data analytics and discovery without a whole lot of prior knowledge and experience.
Real-time data access means that teams can react instantly to business changes fed to Power BI from the CRM, project management, sales, and financial tools. Considering live data access is where most SaaS products and especially most dashboard products are moving toward, Power BI certainly has the leg up here.
Tableau’s features are just as powerful, but some of them are a little less intuitive, being hidden behind menus. Use the dashboards and reports to forecast revenue based on past customer behavior, and employ calculations to transform existing data based on your requirements. Tableau gives you live query capabilities and extracts, which is particularly helpful for data analysts who are used to stopping all work for the query process.
The interface uses a drag-and-drop table view to ask questions of the data. You put your data types in the x and y axes, and then Tableau instantly builds your visualization. The company line is that they “keep the focus on your questions,” but this really feels like Tableau lives somewhere in between query-based (and developer-dependent) data visualization and drag and drop. They balance it nicely, however, because, despite the UX’s somewhat cluttered appearance, Tableau is fairly easy to use, as long as you’re familiar with your data sets or are willing to spend some time studying.
Extra BI and productivity features
Power BI has native apps so you can access data from anywhere, alerts about changes. You can also use the publish to web feature that lets you add your visualizations directly to your blog or website. And don’t worry if the tool doesn’t make sense at first: there’s extensive online support with guided learning and documentation including the Power BI YouTube channel, webinars.
One of the coolest features included in Power BI is the natural language query tool. This is like Google for your data. You can literally ask questions of the data like “how much do we invest in each customer?” or “where do our highest value customers live” and the natural language query tool will find answers to the questions.
Tableau also has extensive support tools that teach you everything from the basics of setting up the software through initial data analysis. You can access and manipulate data via the mobile app, and whole teams can collaborate around shared dashboards. Tableau doesn’t have a natural language query, but when the company was acquired by Salesforce, the tool integrated the Einstein AI for data discovery.
What is better: Tableau or Power BI?
When comparing Microsoft Power BI vs. Tableau, you really have to think about who will be using these tools. Power BI is built for the common stakeholder, not necessarily a data analyst. The interface relies more on drag-and-drop and intuitive features to help teams build their visualizations. It’s a great addition to any team that needs data analysis but without getting a degree in data analysis first.
Tableau is similarly powerful, but the interface isn’t quite as intuitive, which makes it more difficult to use and learn. Those with data analysis experience will have less trouble cleaning and transforming data into visualizations, but those just getting their feet wet will likely feel overwhelmed with the uphill battle to learn some data science before making visualizations.
Overall, we call this Power BI vs Tableau duel a draw. Power BI wins for ease of use, but Tableau wins in speed and capabilities. Small businesses with limited financial and human resources should start out with Power BI, especially if they already invest in Microsoft products. However, medium and enterprise companies that prioritize data analytics and have the human capital to support them will be better off with Tableau.
Power BI vs. Tableau aren’t your only options for data visualization and data analysis tools. If you’re ready to search for your next business intelligence tool, fill out our Product Selection Tool for a free, 5-minute consultation.