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."Ability to work collaboratively without having to worry about the infrastructure."
"The fast data loading process and data storage capabilities are great."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The solution is an impressive tool for data migration and integration."
"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."
"I work in the data science field and I found Databricks to be very useful."
"I like cloud scalability and data access for any type of user."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"You can create attractive dashboards that inform users using Tableau."
"The initial setup is simple."
"The most valuable features are the visualizations, the way they show the combination charts."
"It has made the reporting stage simple and enabled us to focus mainly on the ETL part"
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"Tableau is good for routine dashboards, and it has integration with Slack, through which it can send you daily updates."
"Easy for beginners to use"
"The most valuable feature is the ease of use."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"There should be better integration with other platforms."
"There are no direct connectors — they are very limited."
"The tool should improve its integration with other products."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Anyone who doesn't know SQL may find the product difficult to work with."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables."
"The SQL programming functionality needs to be improved."
"If I have to develop any, for example, pie charts, I can develop them just fine. However, if I have to develop a donut chart, that I cannot do it in a simple way. There are tricks that I need to use if I have to design a donut chart. It should be more flexible and provide more visualization options."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 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 Google Cloud Dataflow, 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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