We performed a comparison between Google Data Studio and SAP Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The ability to design complex data models and equations."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The ability to integrate with a great variety of data sources."
"Valuable features include advanced integrated analysis and easy implementation."
"The solution is free so that is a good feature."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"There is a really nice insight feature that I enjoy using."
"SAP Analytics Cloud is easy to create charts with, and is a stable business intelligence platform. Easy to set up solution."
"Technical support is helpful."
"The user interface is quite good for developing reports out of models."
"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."
"The most valuable features are on the application side, where you can design applications into your analytics on the platform."
"Technical support is helpful."
"It's so user-friendly."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"Panels are not as easy to use as other data extraction UIs."
"Stability and scalability an be improved for a full ten."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"It's not yet a replacement for a complete BI tool."
"Live Data Models are very slow and the setup can be improved, with tools such as Cloud Connector being inbuilt into SAP Analytics Cloud. Likewise, we need to write application code from scratch, rather than tweaking existing code, as we might with Excel macros. Moreover, when using responsive pages, the widgets get adjusted according to the mobile screen. As a result, when I place two or three KPI tiles, they can only be viewed tile-by-tile. We want to see the full dashboard on the mobile screen and zoom in to click on a particular section of the dashboard and go further into that. But displaying tile-by-tile makes it very annoying and the upper management using this dashboard might not be aware there are any more tiles to view."
"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."
"Statistical analysis should be a bit more profound than it is."
"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."
"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."
"When it comes to planning there is a concern about the ability to match the exact requirements of the customer with what the product offers."
"It's lacking a bit in maturity and we find we can't run our business off it until it's improved."
"The business intelligence features should be improved because there is a lack of functionality regarding that part."
Google Data Studio is ranked 14th in Reporting with 7 reviews while SAP Analytics Cloud is ranked 3rd in BI (Business Intelligence) Tools with 56 reviews. Google Data Studio is rated 7.8, while SAP Analytics Cloud is rated 8.0. The top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and IBM Cognos. See our Google Data Studio vs. SAP Analytics Cloud report.
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