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 aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"We have the ability to scale, collaborate and do machine learning."
"The solution is very easy to use."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."
"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"The best part about Tableau is the visualization."
"It’s good for quick visualization and being able to quickly consume unstructured data to play around with."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"The most valuable feature is the geographic data analysis."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"It's not easy to use, and they need a better UI."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Would be helpful to have additional licensing options."
"Implementation of Databricks is still very code heavy."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"The price of Tableau is too high."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"The data preparation could integrate better with Tableau."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"The charting is overly complex in comparison with Power BI's"
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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