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."Automation with Databricks is very easy when using the API."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The simplicity of development is the most valuable feature."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Ability to work collaboratively without having to worry about the infrastructure."
"We have the ability to scale, collaborate and do machine learning."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"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."
"I have found the solution easy to use and the interface is very good."
"It's very easy to set everything up."
"Tableau is a fantastic tool that provides impressive dashboards and customized reports."
"The initial setup is simple."
"The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses."
"The product’s performance is better than other tools."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"We'd like a more visual dashboard for analysis It needs better UI."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"Costs can quickly add up if you don't plan for it."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The data processing in Tableau is pathetic compared to Qlik."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"The process of embedding the dashboards on external portals and websites could be improved."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"The integration with other program languages, like Python, needs to be better."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"The solution needs to improve its integration capabilities."
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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