We performed a comparison between Databricks and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The main features of the solution are efficiency."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"The setup is quite easy."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Easy to use and requires minimal coding and customizations."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"It integrates well with SAS, making it simple and quick for developers."
"The flexibility of the configuration is valuable to me."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's relatively simple to create basic dashboards and reports."
"It provided the capability to visualize a bunch of data in an organized way."
"We've found the product to be stable and reliable."
"Great for handling complex data models."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"It would be great if Databricks could integrate all the cloud platforms."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The tool should improve its integration with other products."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"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 is not as mature as competitors such as Tableau and QlikView."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The installation process can be a bit complex."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"A bit more flexibility in the temperatization will be helpful."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Databricks is rated 8.2, while SAS Visual Analytics is rated 8.2. 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 Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Oracle Analytics Cloud, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Microsoft Azure Machine Learning Studio, Dataiku and SAS Enterprise Miner.
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