Palantir Foundry vs SAS Data Management comparison

Palantir and SAS are both solutions in the Data Integration category. Palantir is ranked #13 with an average rating of 8.0, while SAS is ranked #28 with an average rating of 9.0. Palantir holds a 2.1% mindshare in DI, compared to SAS’s 1.3% mindshare. Additionally, 88% of Palantir users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Palantir Foundry

Read 18 Palantir Foundry reviews

11,675 Views
4,904 Comparison Views

88% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

3,799 Views
2,165 Comparison Views

88% willing to recommend

Palantir Foundry

SAS Data Management

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

SAS Data Management and Palantir Foundry are leading competitors in data management solutions. While SAS is preferred for its comprehensive data quality and management, Palantir shines in data visualization and simplicity.

Features: SAS Data Management is known for superior data quality, integration, and governance. It excels in ETL processes and provides robust data access across diverse sources. Palantir Foundry is valued for its advanced data visualization and easy scalability. Its strong data lineage capabilities and integration make it a comprehensive platform for users.

Room for Improvement: SAS Data Management could benefit from improved connectivity and a more user-friendly interface. Its setup is complex and expensive. Palantir Foundry, though powerful, suffers from high costs and a lack of intuitiveness for non-technical users. Enhanced documentation and cost efficiency could improve usability.

Ease of Deployment and Customer Service: SAS Data Management requires on-premises installation, which can be cumbersome. Its customer support has evolved but needs more improvement in technical assistance. Palantir Foundry offers cloud-based flexibility and is generally praised for high-quality support, though it struggles with documentation and responsiveness.

Pricing and ROI: SAS Data Management is costly but offers significant ROI in sectors like banking and pharmaceuticals due to its comprehensive solutions. Palantir Foundry is similarly expensive but provides value through its centralized features, which reduce development needs. Pricing remains a critical factor for many users.

To learn more, read our detailed Palantir Foundry vs. SAS Data Management Report (Updated: May 2026).

Buyer's Guide

Palantir Foundry vs. SAS Data Management

May 2026

Download the complete report

Helped 893,221 peers since 2012

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

7.8

Reviews Sentiment

7.0

Number of Reviews

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 Management

Ranking in Data Integration

28th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (7th), Data Governance (23rd)

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 Management is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	2.1%
SAS Data Management	1.3%
Other	96.6%

Data Integration

Featured Reviews

Sai Arun Bandhakavi

Associate Vice President at a insurance company with 10,001+ employees

Unified data workflows have empowered collaborative analytics and streamlined AI development

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 worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

Read full review

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

Has supported centralized data access and improved governance through unified administration

The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

Read full review

Quotes from Members

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

Pros

"I like the data onboarding to Palantir Foundry and ETL creation."

"The data lineage is great."

"Foundry's data visualization is fantastic."

"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."

"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."

"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."

"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."

"Great features available in one tool."

More Palantir Foundry pros

"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."

"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."

"There is a huge ROI."

"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 platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"DataFlux in my opinion is an excellent high end solution for enterprise wide data management."

"The tool is reliable, quick, and powerful."

"The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool."

More SAS Data Management pros

Cons

"Some error messages can be very cryptic."

"The solution’s data security could be improved."

"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."

"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."

"The workflow could be improved."

"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."

"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."

"The frontend capabilities of Palantir Foundry could be improved."

More Palantir Foundry cons

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"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."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

"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."

"Costly. Not great for non-ETL use cases."

"The stability could be a bit better. It's lacking in this area right now."

"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."

"The solution could use better documentation."

More SAS Data Management cons

Pricing and Cost Advice

"The solution’s pricing is high."

"It's expensive."

"Palantir Foundry is an expensive solution."

"Palantir Foundry has different pricing models that can be negotiated."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The licensing model for vCenter is a perpetual license with yearly payments."

"The solution is expensive."

"The tool is a bit expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

893,221 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

13%

Financial Services Firm

Government

University

Financial Services Firm

20%

Healthcare Company

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	5
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

What needs improvement with Palantir Foundry?

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

See all answers

What needs improvement with SAS Data Management?

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

See all answers

What is your primary use case for SAS Data Management?

The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...

See all answers

Comparisons

Cognizant AI & Analytics vs Palantir Foundry

Compared 6% of the time

Confluent vs Palantir Foundry

Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

MuleSoft Anypoint Platform vs Palantir Foundry

Compared 3% of the time

Databricks vs Palantir Foundry

Compared 3% of the time

More Palantir Foundry Competitors

Informatica PowerCenter vs SAS Data Management

Compared 10% of the time

WhereScape RED vs SAS Data Management

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 8% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Palantir Foundry

April 2026

Download Palantir Foundry product report

Buyer's Guide

SAS Data Management

April 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Palantir Foundry offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.

Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.

What are the key features of Palantir Foundry?

User-friendly interface enabling easy data governance and automation.
Real-time integration with strong data analysis and collaboration tools.
Low-code/no-code development to widen accessibility.
Digital twin capabilities for bi-directional process integration.
Strong data lineage, predictive analytics, and visualization tools.
Flexibility and customization options.

What benefits and ROI could reviews highlight?

Improved decision-making through enhanced data visibility.
Increased efficiency with automated data processes.
Broader accessibility to data insights via low-code options.
Enhanced collaboration and integration between departments.
Potential cost savings through streamlined operations.

In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.

Palantir

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Palantir Foundry vs. SAS Data Management

May 2026

Free Report: Palantir Foundry vs. SAS Data Management

Find out what your peers are saying about Palantir Foundry vs. SAS Data Management and other solutions. Updated: May 2026.

DOWNLOAD NOW

893,221 professionals have used our research since 2012.

See our Palantir Foundry vs. SAS Data Management report.

See our list of best Data Integration vendors and best Cloud 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.