Palantir Foundry vs SAS Data Management comparison

Palantir and SAS are both solutions in the Data Integration category. Palantir is ranked #5 with an average rating of 8.3, while SAS is ranked #26 with an average rating of 9.3. Palantir holds a 2.0% mindshare in DI, compared to SAS’s 1.2% mindshare. Additionally, 93% of Palantir users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Palantir Foundry

Read 59 Palantir Foundry reviews

13,191 Views
5,540 Comparison Views

93% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,330 Views
2,425 Comparison Views

88% willing to recommend

Palantir Foundry

SAS Data Management

Comparison Buyer's Guide

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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: June 2026).

Buyer's Guide

Palantir Foundry vs. SAS Data Management

June 2026

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Review summaries and opinions

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

ROI

Sentiment score

5.0

Palantir Foundry users reported faster implementation, increased efficiency, streamlined processes, enhanced resources, and improved productivity with comprehensive tools.

Sentiment score

6.1

SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.

With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.

Suraj Otari

Data Engineering Specialist at LTM

We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.

Shaik Farooq

Consultant at a tech vendor with 1,001-5,000 employees

One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.

reviewer2846265

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

For more quotes and insights, download the Palantir Foundry report

Reliable data plus less human intervention and less error result in a strong return on investment.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

Customer Service

Sentiment score

6.2

Palantir Foundry's support is praised for responsiveness and knowledge, though experiences vary; documentation aids self-resolution effectively.

Sentiment score

7.3

SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.

They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.

Fred_Lee

Enterprise Architect at a mining and metals company with 10,001+ employees

When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.

Tahir Tahirov

Data Analyst at BP Exploration Caspian Sea Ltd

The support staff are extremely knowledgeable and good at what they are doing.

Jon H.

Operations And Integration Chief at a aerospace/defense firm with 10,001+ employees

For more quotes and insights, download the Palantir Foundry report

The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

Scalability Issues

Sentiment score

6.1

Palantir Foundry offers flexibility and scalability, efficiently managing large data, though costs and configuration may impact performance.

Sentiment score

7.0

SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.

We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.

reviewer2846265

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

For scalability, I would rate it ten out of ten because you have a lot of flexibility.

Sai Arun Bandhakavi

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

Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.

Suraj Otari

Data Engineering Specialist at LTM

For more quotes and insights, download the Palantir Foundry report

No quotes available

For more quotes and insights, download the SAS Data Management report

Stability Issues

Sentiment score

7.6

Palantir Foundry is stable, with occasional issues in data handling, praised for scalability, and generally well-regarded for reliability.

Sentiment score

7.3

SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.

Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.

reviewer2845581

Product Manager

I get more technical support from Palantir.

reviewer2845668

Data Development Manager at a healthcare company with 5,001-10,000 employees

Palantir Foundry has been a stable and reliable enterprise platform.

reviewer2846265

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

For more quotes and insights, download the Palantir Foundry report

No quotes available

For more quotes and insights, download the SAS Data Management report

Room For Improvement

Palantir Foundry users seek better documentation, reduced costs, performance improvements, enhanced UI, and increased flexibility in data integration.

Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.

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.

reviewer2846265

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.

Nilesh Lahoti

Principal Architect at HCLTech

An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.

Swathi Vellachalankandy

Engineer, Data Engineering at GlobalFoundries

For more quotes and insights, download the Palantir Foundry report

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

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

SAS Data Management can be improved in terms of the learning curve.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

Setup Cost

Palantir Foundry's high initial costs deter some, but it's cost-effective long-term; pricing varies for larger enterprises.

SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.

Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.

Fred_Lee

Enterprise Architect at a mining and metals company with 10,001+ employees

In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.

reviewer2845668

Data Development Manager at a healthcare company with 5,001-10,000 employees

We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.

Nilesh Lahoti

Principal Architect at HCLTech

For more quotes and insights, download the Palantir Foundry report

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

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Valuable Features

Palantir Foundry enhances productivity with data modeling, AI integration, security, and collaborative tools for seamless multi-source integration.

SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.

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.

SRINIVAS RATHOD

Architect at L&T Technology Services

The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.

Sai Arun Bandhakavi

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

The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.

Shaik Farooq

Consultant at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Palantir Foundry report

SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

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.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

Categories and Ranking

Palantir Foundry

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

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 Management

Ranking in Data Integration

26th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (6th), Data Governance (24th)

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 Management is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	2.0%
SAS Data Management	1.2%
Other	96.8%

Data Integration

Featured Reviews

reviewer2846265

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.

Read full review

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

Government

University

Financial Services Firm

18%

Government

Comms Service Provider

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	7
Large Enterprise	49

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
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?

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...

See all answers

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...

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?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

See all answers

Comparisons

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Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

MuleSoft Anypoint Platform vs Palantir Foundry

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Compared 9% of the time

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Compared 8% of the time

WhereScape RED 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

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Product Reports

Buyer's Guide

Palantir Foundry

June 2026

Download Palantir Foundry product report

Buyer's Guide

SAS Data Management

May 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

June 2026

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