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."The most valuable feature is the ability to use SQL directly with Databricks."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"We can scale the product."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"Its lightweight and fast processing are valuable."
"The integration with Python and the notebooks really helps."
"Tableau Prep tool for data preparation is a most valuable tool."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"The product’s performance is better than other tools."
"The ability to deploy is the added ability to centralise the Tableau repository for all Tableau Developers."
"It's very easy to set everything up."
"Tableau is easy to use and it has great predictive features."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"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."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The pricing of Databricks could be cheaper."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"The solution’s pricing could be improved."
"There are more than a powerful tool in the market, such as Microsoft BI."
"When there are millions of records, scaling up is quite difficult."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"Reports should be downloadable as PDF files."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"Provide additional enhancements in any business process: Operations, Marketing and Sales, Finance, Human Resources, Logistics, etc."
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 Data Science Studio, 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.