We performed a comparison between Palantir Foundry and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The interface is really user-friendly."
"It's scalable."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The solution offers very good end-to-end capabilities."
"Great features available in one tool."
"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 solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The virtualization tool is useful."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The technical support is excellent."
"This is an established product with powerful data analysis and varied options for user entry points."
"The tool is reliable, quick, and powerful."
"I am impressed with the tool's ability to customize."
"The product offers very good flexibility."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"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."
"Difficult to receive data from external sources."
"The frontend capabilities of Palantir Foundry could be improved."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"If you want to create new models on specific data sets, computing that is quite costly."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Some error messages can be very cryptic."
"The solution could use better documentation."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
Palantir Foundry is ranked 11th in Data Integration with 13 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Palantir Foundry is rated 7.6, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and SSIS.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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