We performed a comparison between SAP Analytics Cloud and Teradata Data Lab based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling."
"I like the predictive features of SAP. It's easy to use tools for an end-user."
"It is scalable."
"The solution is stable."
"A robust solution."
"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."
"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."
"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."
"It has increased the speed of reporting."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"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."
"SAP Analytics Cloud should improve the dashboard."
"The business intelligence features should be improved because there is a lack of functionality regarding that part."
"The customizations need to be better."
"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."
"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."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"They need a better scalability rate."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"The initial setup was complex as we had to rewrite a lot of the code."
"Their level of technical support is adequate. It could be better."
Earn 20 points
SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 58 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. SAP Analytics Cloud is rated 8.0, while Teradata Data Lab is rated 8.6. The top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". On the other hand, the top reviewer of Teradata Data Lab writes "You can schedule any testing you want to do in production". SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI, Tableau and Oracle DataScience.com Platform. See our SAP Analytics Cloud vs. Teradata Data Lab report.
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