We performed a comparison between Databricks and SAS Enterprise Miner 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 ability to use SQL directly with Databricks."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The solution is an impressive tool for data migration and integration."
"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."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"We can scale the product."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"Good data management and analytics."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"he solution is scalable."
"I like the way the product visually shows the data pipeline."
"The solution is able to handle quite large amounts of data beautifully."
"The integration features could be more interesting, more involved."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"It would be great if Databricks could integrate all the cloud platforms."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"It's not easy to use, and they need a better UI."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"I believe that this product could be improved by becoming more user-friendly."
"The user interface of the solution needs improvement. It needs to be more visual."
"The visualization of the models is not very attractive, so the graphics should be improved."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Technical support could be improved."
"The solution is much more complex than other options."
"The initial setup is challenging if doing it for the first time."
"The product must provide better integration with cloud-native technologies."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Enterprise Miner is ranked 16th in Data Science Platforms with 13 reviews. Databricks is rated 8.2, while SAS Enterprise Miner is rated 7.6. 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 SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and KNIME. See our Databricks vs. SAS Enterprise Miner report.
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