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."The solution is very easy to use."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The time travel feature is the solution's most valuable aspect."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Ability to work collaboratively without having to worry about the infrastructure."
"There are good features for turning off clusters."
"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."
"It integrates with third-party applications such as Google Drive and Excel,"
"One of the most outstanding features is being able to use the dashboard with a touch screen."
"The visualizations have been the most valuable feature."
"Technical support is helpful."
"One feature I've found most valuable is discovery."
"It's so user-friendly."
"The most valuable feature of SAP Analytics Cloud is its integration with SAP."
"Can be improved by including drag-and-drop features."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The Databricks cluster can be improved."
"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."
"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."
"Implementation of Databricks is still very code heavy."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"SAC, which is the cloud version, lost some good features from the previous planning product, like BPC or BPS."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"It's lacking a bit in maturity and we find we can't run our business off it until it's improved."
"The price, integration, and modeling capabilities could be better. I have to use an integration engine to integrate our products and databases. SAP Analytics Cloud is made specifically for KPIs and business intelligence. The modeling capabilities are kind of poor. You always have to model the data and then present it visually in SAP Analytics Cloud. In the next release, I would like to have a lite version for planning to create scenarios quickly. For me personally, planning is the most complicated feature of SAP Analytics Cloud."
"AI doesn't work as well with SAP live connections."
"We are currently working on connectivity with S/4HANA, but we would like to have better connectivity with our legacy systems."
"However, there are areas of improvement, particularly in terms of visualization. The front-end interface of SAP Analytics Cloud is not as impressive as Tableau and Power BI. The charts in other solutions have a more visually appealing and customizable look, while in SAP Analytics Cloud, there's a lack of alignment between numbers and charts. This graphical aspect, especially concerning charts, is not as satisfactory in SAP Analytics Cloud compared to its counterparts."
"SAP could add more templates to the platform."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAP Analytics Cloud is ranked 4th 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.