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 haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"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."
"The solution offers a free community version."
"We can scale the product."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Its lightweight and fast processing are valuable."
"We have the ability to scale, collaborate and do machine learning."
"We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used."
"Very user friendly."
"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."
"It gives us a new dimension to the way that we analyse our data."
"The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau."
"The use of a storyboard helps the flow of the data visualisation."
"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."
"When compared to Power BI, Tableau has more readily available resources."
"In the next release, I would like to see more optimization features."
"Anyone who doesn't know SQL may find the product difficult to work with."
"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."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The product cannot be integrated with a popular coding IDE."
"I would like it if Databricks made it easier to set up a project."
"Implementation of Databricks is still very code heavy."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"The user experience for less savvy or non-technical people (from my experience)."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"The architecture should be improved to better handle the data."
"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."
"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."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
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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