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 setup was straightforward."
"It's easy to increase performance as required."
"Databricks' most valuable feature is the data transformation through PySpark."
"The processing capacity is tremendous in the database."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The integration with Python and the notebooks really helps."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"I like the way the product visually shows the data pipeline."
"Good data management and analytics."
"The solution is very good for data mining or any mining issues."
"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."
"The most valuable feature is the decision tree creation."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The technical support is very good."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"There is room for improvement in visualization."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"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."
"Would be helpful to have additional licensing options."
"The initial setup is difficult."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Databricks could improve in some of its functionality."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution is much more complex than other options."
"The product must provide better integration with cloud-native technologies."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"Technical support could be improved."
"Virtualization could be much better."
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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, 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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