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."Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The processing capacity is tremendous in the database."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The integration with Python and the notebooks really helps."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks integrates well with other solutions."
"The most valuable features are on the application side, where you can design applications into your analytics on the platform."
"It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up."
"The tool's most valuable features are the BI and planning functionalities. I value being able to integrate smart planning with BI for analysis. The solution is user-friendly."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"Easy to use."
"It integrates with third-party applications such as Google Drive and Excel,"
"Technical support is helpful."
"A robust solution."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"There is room for improvement in visualization."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"I have seen better user interfaces, so that is something that can be improved."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"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."
"SAP has always had one problem with its products, they make them very closed systems that are difficult to integrate."
"SAP Analytics cloud needs better exporting options."
"SAC, which is the cloud version, lost some good features from the previous planning product, like BPC or BPS."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
"The integration with other vendors and solutions could be improved."
"Sometimes we have difficulty connecting to a SharePoint list."
"AI doesn't work as well with SAP live connections."
"I would like to see reporting to the Analytics cloud directly."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 58 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.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
