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."
"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 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."
"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."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Data integration is very good."
"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."
"The Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good."
"A robust solution."
"The most valuable feature of the tool is machine learning."
"The most valuable features are on the application side, where you can design applications into your analytics on the platform."
"The user interface is quite good for developing reports out of models."
"It integrates with third-party applications such as Google Drive and Excel,"
"Would be helpful to have additional licensing options."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"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 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 data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"I am not happy with the predictive analytics features and smart features offered by the product, making them areas where improvements are required."
"Currently only one data modeler can work at a time."
"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."
"Statistical analysis should be a bit more profound than it is."
"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."
"I would like to see reporting to the Analytics cloud directly."
"Sometimes we have difficulty connecting to a SharePoint list."
"The integration with other vendors and solutions could be improved."
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, 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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