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."I like cloud scalability and data access for any type of user."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The fast data loading process and data storage capabilities are great."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Easy to use and requires minimal coding and customizations."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks integrates well with other solutions."
"There are good features for turning off clusters."
"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 setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The technical support is very good."
"The solution is able to handle quite large amounts of data beautifully."
"Good data management and analytics."
"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."
"The solution is very good for data mining or any mining issues."
"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."
"I would like it if Databricks made it easier to set up a project."
"The product should provide more advanced features in future releases."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"There are no direct connectors — they are very limited."
"Databricks' technical support takes a while to respond and could be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The ease of use can be improved. When you are new it seems a bit complex."
"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."
"Virtualization could be much better."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
"The user interface of the solution needs improvement. It needs to be more visual."
"The initial setup is challenging if doing it for the first time."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Enterprise Miner is ranked 15th 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 FICO Model Builder. See our Databricks vs. SAS Enterprise Miner report.
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