We performed a comparison between Databricks and SAP Analytics Cloud based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Its lightweight and fast processing are valuable."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The setup is quite easy."
"It is fast, it's scalable, and it does the job it needs to do."
"The solution is very easy to use."
"Databricks' most valuable feature is the data transformation through PySpark."
"I like cloud scalability and data access for any type of user."
"SAP Analytics Cloud allows you to quickly perform various tasks in terms of virtualization. CyberArk itself requires some enhancements to better connect with other technologies. While it's easy to connect with SAP, using analytics tools may sometimes necessitate sourcing information from different platforms. You might need data from SAP or other technologies/platforms to access specific information not available within SAP. SAP is effective for managing storage and enhancing virtualization capabilities."
"One feature I've found most valuable is discovery."
"I like the product's capabilities. The clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions."
"Provides rich features for developing automated reports and dashboards."
"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."
"The ability to collaborate and plan together is great."
"It offers good backup capabilities."
"The solution is stable."
"CI/CD needs additional leverage and support."
"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."
"There should be better integration with other 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."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The solution should include other scripting languages as well, such as Python."
"In the live connection model, we can't create calculated dimensions, however, in the import model we can create them."
"The connection works only for importing data. Currently, there is no real-time integration between SAP Analytics Cloud and CRM. There are some features present in the classic but not in the optimized version. If I need to create something specific, I often have to switch the versions. It would be more convenient to have a single product that incorporates all the necessary features."
"An additional feature that needs to be added to SAP Analytics Cloud is exporting because right now, you can only export to PDF and PowerPoint. It would be good to have multiple export options, for example, to Excel and other apps. Pricing is an area for improvement in SAP Analytics Cloud, apart from exporting."
"The business intelligence features should be improved because there is a lack of functionality regarding that part."
"They need a better scalability rate."
"An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement."
"One potential improvement is how we can transpose data. With SAP, if you have data from one system with a declared data type and a different system with another data type, the transfer is tricky."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 60 reviews. Databricks is rated 8.2, while SAP Analytics Cloud is rated 8.0. 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 SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan.
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