We performed a comparison between Palantir Foundry and SAP Analytics Hub based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"It's scalable."
"The virtualization tool is useful."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The data lineage is great."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"This product provides good reports using a single pane of glass."
"Cost of this solution is quite high."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Difficult to receive data from external sources."
"Some error messages can be very cryptic."
"The frontend capabilities of Palantir Foundry could be improved."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The solution could use more online documentation for new users."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"The interface can be simplified because it is not a user-friendly experience."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The technical support for Analytics Hub is limited and could be improved."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
Palantir Foundry is ranked 11th in Data Integration with 14 reviews while SAP Analytics Hub is ranked 46th in Data Integration with 6 reviews. Palantir Foundry is rated 7.6, while SAP Analytics Hub is rated 7.2. The top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". On the other hand, the top reviewer of SAP Analytics Hub writes "Powerful capabilities for cross-functional reporting and dashboard creation, with real-time access". Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer, whereas SAP Analytics Hub is most compared with SAP Analytics Cloud, Workday Prism Analytics and Logi Analytics. See our Palantir Foundry vs. SAP Analytics Hub report.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.