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."Databricks integrates well with other solutions."
"We have the ability to scale, collaborate and do machine learning."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"It's great technology."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The solution is very simple and stable."
"The processing capacity is tremendous in the database."
"Visualization is quite seamless and awesome. Once the data messaging is set up, it's straightforward and simple to select how it should be displayed. So, that's another advantage of SAP."
"One of the most outstanding features is being able to use the dashboard with a touch screen."
"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"Data integration is very good."
"SAP Analytics Cloud is very easy to use, and you don't require much technology. It has a very good library and analytics. It is easy to configure and offers good visualization."
"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."
"Easy to use."
"Would be helpful to have additional licensing options."
"I would like it if Databricks made it easier to set up a project."
"The Databricks cluster can be improved."
"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."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"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."
"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."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"SAP Analytics cloud needs better exporting options."
"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."
"SAP Analytics Cloud should improve the dashboard."
"In the live connection model, we can't create calculated dimensions, however, in the import model we can create them."
"I would also like to have more advanced features for predictive analytics."
"The budget management could be better."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
"There should be more features for the time series charts."
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.
