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Palantir Foundry vs SAS Data Integration Server comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Palantir Foundry
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
59
Ranking in other categories
IT Operations Analytics (5th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
SAS Data Integration Server
Ranking in Data Integration
41st
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.0%, down from 3.0% compared to the previous year. The mindshare of SAS Data Integration Server is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.0%
SAS Data Integration Server0.9%
Other97.1%
Data Integration
 

Featured Reviews

reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
NN
Works at a financial services firm with 5,001-10,000 employees
Offloads processes on the server side but needs better installation syntax
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Previously, the team used to take more than a week to gather data for a particular entity and make it ready for downstream use cases, and that was reduced from seven days to close to 30 to 45 minutes because everything was automated using pipelines and schedules."
"The AI engine that comes with Palantir Foundry is quite interesting."
"The best features Palantir Foundry offers include the semantic layer providing schema-level understanding about the data, low-code and no-code integration for ease without coding in the pipeline builder, AI Assist for assistance, Ontology for digital twin relationships, branching in pipeline level and Foundry branching for better management, zero-copy architecture for querying without massive data, data lineage for troubleshooting, and security changes that can be made in the pipeline builder and Ontology Workshop."
"Palantir Foundry has positively impacted my organization through multiple use cases, such as warranty data refinement, where previously we struggled with identifying the number of claims related to specific products."
"The best features Palantir Foundry offers are the ease of use and the availability of all the different functionalities in a single space, making it a very convenient application to use for varying different purposes such as the workflow I mentioned."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Palantir Foundry is the future of development because it embeds multiple AI models, and the AI enabling feature is very fast and easy."
"The data lineage is great."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
 

Cons

"The solution's visualization and analysis could be improved."
"I cannot advise someone to use Palantir Foundry due to cost efficiency and the complexity it introduces in handling large amounts of data."
"I choose eight out of ten because the software still needs a lot of updates to make it stable, and today, it is not stable."
"As a developer, I find the limited documentation and less resource availability restrictive compared to other options such as AWS."
"Difficult to receive data from external sources."
"Some error messages can be very cryptic."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"The initial setup of SAS Data Integration Server was complex."
"So I would like to see improved integration with other software."
"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"The transform tool has limited access. They should make it more flexible."
"One area for improvement is the installation process."
 

Pricing and Cost Advice

"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"It's expensive."
"It is an expensive program."
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902,456 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
10%
Government
7%
University
6%
Financial Services Firm
26%
Construction Company
13%
Comms Service Provider
11%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise50
No data available
 

Questions from the Community

What needs improvement with Palantir Foundry?
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For n...
What is your primary use case for Palantir Foundry?
I use Palantir Foundry for my primary use case, which involves building and maintaining end-to-end pipelines and operational data products at UHG for our healthcare analytics team. I work on data i...
What advice do you have for others considering Palantir Foundry?
My advice would be to approach Palantir Foundry as an enterprise operational platform, not just a traditional data tool. The platform delivers the most value when organizations fully leverage its g...
What needs improvement with SAS Data Integration Server?
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference...
What is your primary use case for SAS Data Integration Server?
I am involved in the ETR job. My role is focused on executing the ETR job.
What advice do you have for others considering SAS Data Integration Server?
I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...
 

Also Known As

No data available
SAS Enterprise Data Integration Server, Enterprise Data Integration Server
 

Overview

 

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Palantir Foundry vs. SAS Data Integration Server and other solutions. Updated: June 2026.
902,456 professionals have used our research since 2012.