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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

"It's scalable."
"Palantir Foundry makes data reporting easier and reduces time in data gathering and reporting, where what would usually take about a day and a half of data gathering and reporting I have ultimately reduced to about 20 minutes."
"The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries."
"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 gives me a unified view of AI and my engineering space while I have been doing a lot of data engineering in a couple of technologies, bringing that data together and stitching them and putting together AI, enabling AI use cases, which makes me see a holistic view of data coming from various platforms."
"In terms of improvements, it helped us improve our data migration timelines by approximately 60 percent and improved the data accuracy and addressed the issues upfront by approximately 85 percent."
"Palantir Foundry has positively impacted my organization, especially Airbus, as we are dependent on Palantir Foundry for processing the data."
"Palantir Foundry has positively impacted my organization by providing good support from Palantir teams, facilitating the development of many new solutions, building our UI and web applications, and significantly enhancing our productivity."
"The solution offers very good data manipulation and loading."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
 

Cons

"If it was my choice, I wouldn't sign the contract with Palantir in the first place. I would probably stick to standard Databricks."
"The theme is very monotonous and should be improved."
"Palantir Foundry has a steep learning curve and onboarding."
"I want to pass the certification of Palantir Foundry because it is not easy to find the information regarding this certification, making it not accessible for many people, which I think is not good."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"Palantir Foundry can be improved by providing more third-party application support and more support for the Ontology software development kit to develop more native applications rather than just web applications."
"There are still a lot of changes required in Palantir Foundry to make it more usable or easy to use."
"There is a learning curve to Palantir Foundry, and better documentation would really help because while documentation exists, not everything is covered."
"So I would like to see improved integration with other software."
"One area for improvement is the installation process."
"The transform tool has limited access. They should make it more flexible."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"The initial setup of SAS Data Integration Server was complex."
"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."
 

Pricing and Cost Advice

"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"It's expensive."
"The solution’s pricing is high."
"It is an expensive program."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
9%
Government
7%
University
6%
Financial Services Firm
26%
Construction Company
11%
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 Enterprise49
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.
900,747 professionals have used our research since 2012.