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 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."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"It's easy to increase performance as required."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"Automation with Databricks is very easy when using the API."
"We have the ability to scale, collaborate and do machine learning."
"The solution is very simple and stable."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"The user interface is quite good for developing reports out of models."
"The ability to collaborate and plan together is great."
"There is a really nice insight feature that I enjoy using."
"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."
"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves."
"SAP Analytics Cloud is a very good tool. The feature that's most useful for me is the reporting as it can be done via Google Chrome. The solution is also very nice, user-friendly, and easy to build. It's very easy to use the features of SAP Analytics Cloud."
"SAP Analytics Cloud is easy to create charts with, and is a stable business intelligence platform. Easy to set up solution."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The integration of data could be a bit better."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"I would like it if Databricks made it easier to set up a project."
"I have seen better user interfaces, so that is something that can be improved."
"The integration and query capabilities can be improved."
"We'd like a more visual dashboard for analysis It needs better UI."
"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."
"Statistical analysis should be a bit more profound than it is."
"I think it would be easier if there was another module created to retrieve only data."
"The customizations need to be better."
"The solution should include other scripting languages as well, such as Python."
"We need to know that we are using the latest and greatest, and SAP appears as if it has lost some credit in the market."
"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."
"There is plenty of room for improvement. They have different products, and you need to integrate all of them to have one functionality. For example, data extraction happens in Datasphere. Then it would be best if you had some connection between the Datasphere and the SAP Analytics Cloud to get the data, as this is causing headaches sometimes. The knowledge base and Jedox also could be more meaningful. I have tried to search for some specific knowledge base and technology base, and I didn't find them. I have learned it by trial and error. There is room to improve the integrations between the different products. The AFS, and the Data action, need improvement. Sometimes they release new tools and updates, but not in my area."
"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."
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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