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 Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The processing capacity is tremendous in the database."
"Databricks has helped us have a good presence in data."
"Easy to use and requires minimal coding and customizations."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"You can create attractive dashboards that inform users using Tableau."
"It is a stable solution."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"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."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"Self-service is most valuable. Users can pick up quickly and do the resolution. There are a lot of out-of-the-box features, and it satisfies most of the needs. If users are properly trained, they can deal with any situation."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"The solution has a lot of customization when comparing to Microsoft BI."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Doesn't provide a lot of credits or trial options."
"The pricing of Databricks could be cheaper."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"The initial setup is difficult."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"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 could improve the scalability, it is difficult to make changes."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community."
"A strict security measure is needed. I believe it is weak in terms of security."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
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, Dremio and Alteryx, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, SAS Visual Analytics and SAP Analytics Cloud. See our Databricks vs. Tableau report.
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