We performed a comparison between Databricks and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"It can send out large data amounts."
"The fast data loading process and data storage capabilities are great."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"Automation with Databricks is very easy when using the API."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The product offers an intuitive user interface, detailed screens and widgets, and the absence of data limitations"
"It is a stable solution."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"It's very easy to use and users don't need any IT support to access it as the information is right there."
"The initial setup is simple."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"The most valuable features are the visualizations, the way they show the combination charts."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Databricks' technical support takes a while to respond and could be improved."
"Anyone who doesn't know SQL may find the product difficult to work with."
"CI/CD needs additional leverage and support."
"The performance could be better."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"The architecture should be improved to better handle the data."
"In the next release, I would like to be able to have the option to see more raw data that I'm converting on the dashboard."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"The charts in Tableau are quite limited."
"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."
"Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Databricks is rated 8.2, while Tableau is rated 8.4. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Microsoft Power BI, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Databricks vs. Tableau report.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.