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."We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Automation with Databricks is very easy when using the API."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"We have the ability to scale, collaborate and do machine learning."
"The most valuable feature is the ability to use SQL directly with Databricks."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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 features are the Binary classification and Auto Model."
"RapidMiner for Windows is an excellent graphical tool for data science."
"Doesn't provide a lot of credits or trial options."
"I have seen better user interfaces, so that is something that can be improved."
"The initial setup is difficult."
"The pricing of Databricks could be cheaper."
"Databricks' technical support takes a while to respond and could be improved."
"There should be better integration with other platforms."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner can improve deep learning by enhancing the features."
"Improve the online data services."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"I would appreciate improvements in automation and customization options to further streamline processes."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 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, Microsoft Azure Machine Learning Studio and Dremio, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Power BI. See our Databricks vs. RapidMiner report.
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