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."There are good features for turning off clusters."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"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."
"I like cloud scalability and data access for any type of user."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"It's very simple to use Databricks Apache Spark."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The user interface is quite good for developing reports out of models."
"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 easy to create charts with, and is a stable business intelligence platform. Easy to set up solution."
"The solution is stable."
"The most valuable features are the visualization and user-friendliness."
"The most valuable feature of SAP Analytics Cloud is its integration with SAP."
"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."
"The most valuable feature of the tool is machine learning."
"It would be great if Databricks could integrate all the cloud platforms."
"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."
"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 tool should improve its integration with other products."
"We'd like a more visual dashboard for analysis It needs better UI."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Costs can quickly add up if you don't plan for it."
"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."
"I would also like to have more advanced features for predictive analytics."
"I am not happy with the predictive analytics features and smart features offered by the product, making them areas where improvements are required."
"SAP could add some more visualization features to Analytics Cloud, like charts and analytics. I would also like to see some more data cleaning and ad hoc functions added to this solution."
"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."
"Statistical analysis should be a bit more profound than it is."
"They need a better scalability rate."
"One potential improvement is how we can transpose data. With SAP, if you have data from one system with a declared data type and a different system with another data type, the transfer is tricky."
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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