We performed a comparison between Databricks and RapidMiner 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 initial setup phase of Databricks was good."
"The ability to stream data and the windowing feature are valuable."
"It's very simple to use Databricks Apache Spark."
"The integration with Python and the notebooks really helps."
"The setup was straightforward."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"The most valuable features are the Binary classification and Auto Model."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The best part of RapidMiner is efficiency."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"It's not easy to use, and they need a better UI."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Databricks has a lack of debuggers, and it would be good to see more components."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The integration features could be more interesting, more involved."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"It would be great if Databricks could integrate all the cloud platforms."
"I would like to see more integration capabilities."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"It would be helpful to have some tutorials on communicating with Python."
"In the Mexican or Latin American market, it's kind of pricey."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"Improve the online data services."
"The price of this solution should be improved."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while RapidMiner is ranked 7th in Data Science Platforms with 19 reviews. Databricks is rated 8.2, while RapidMiner is rated 8.6. 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 RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and SAS Enterprise Miner. See our Databricks vs. RapidMiner report.
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