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 work in the data science field and I found Databricks to be very useful."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Easy to use and requires minimal coding and customizations."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The most valuable feature is the geographic data analysis."
"Partner support is very good."
"This solution has transformed us from an Excel reporting environment to one of visual exploration."
"I have found Tableau easy to use and the features are superb."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"Tableau will automatically show charts for the related data that I choose making it very easy to use."
"Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly."
"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."
"A lot of people are required to manage this solution."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Databricks could improve in some of its functionality."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"In the next release, I would like to see more optimization features."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"SAP BusinessObjects has some semantic layer designs that give the flexibility to do ad hoc reporting or dashboard designing. If that can be brought into Tableau, it would be great. We have the data in the database, but we should also be able to bring something between the database and the dashboard and do some semantic layer modeling for ad hoc reporting requirements."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"The only issue with the solution is with its prices at a regional level."
"Licensing and pricing options could be made better so that more users would be able to use it."
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"The data preparation could integrate better with Tableau."
"The price of Tableau is too high."
"The integration with other program languages, like Python, needs to be better."
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.
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