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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
13th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
32
Ranking in other categories
IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
SAS Data Integration Server
Ranking in Data Integration
40th
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 May 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.1%, down from 2.8% 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 Foundry2.1%
SAS Data Integration Server0.9%
Other97.0%
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

"If I think of Foundry as being an implementation of Apache Spark and compare that to Databricks, it is easier for an organization to use Foundry."
"The virtualization tool is useful."
"Palantir Foundry has reduced a very good amount of time to implement a data pipeline and process the data within four hours."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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."
"Foundry's data visualization is fantastic."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"We believe that the client has improved their efficiency compared to their previous working model; they have more clarity and, above all, more control over the data."
"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."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"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."
"The solution offers very good data manipulation and loading."
 

Cons

"Some error messages can be very cryptic."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"When we were using ETL with Palantir Foundry, we found we had less freedom compared to Cloudera, where we had more liberty in using various configuration parameters of Spark, allowing us to tune our jobs accordingly."
"When I started with Palantir Foundry, the initial deployment was not that great. I was not able to figure out certain things, because there are certain coding patterns that need to be followed in order to make it run."
"Cost of this solution is quite high."
"I cannot advise someone to use Palantir Foundry due to cost efficiency and the complexity it introduces in handling large amounts of data."
"Difficult to receive data from external sources."
"One way Palantir Foundry can be improved is by addressing issues with back-end changes. There were cases where changes made to Palantir Foundry would cause failures across all platforms."
"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 of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"The transform tool has limited access. They should make it more flexible."
"One area for improvement is the installation process."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
 

Pricing and Cost Advice

"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
"It's expensive."
"It is an expensive program."
report
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896,387 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
Financial Services Firm
27%
Construction Company
11%
Comms Service Provider
10%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise28
No data available
 

Questions from the Community

What needs improvement with Palantir Foundry?
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have wo...
What is your primary use case for Palantir Foundry?
There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...
What advice do you have for others considering Palantir Foundry?
The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...
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: May 2026.
896,387 professionals have used our research since 2012.