AWS Glue vs Palantir Foundry comparison

Amazon Web Services (AWS) and Palantir are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #1 with an average rating of 7.6, while Palantir is ranked #4 with an average rating of 8.3. Amazon Web Services (AWS) holds a 7.6% mindshare in CDI, compared to Palantir’s 4.1% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 93% of Palantir users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

8,314 Views
5,986 Comparison Views

90% willing to recommend

Palantir Foundry

Read 59 Palantir Foundry reviews

13,191 Views
2,638 Comparison Views

93% willing to recommend

AWS Glue

Palantir Foundry

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 3, 2024

Palantir Foundry and AWS Glue compete in the data integration and analytics domain. AWS Glue may have an upper hand in handling large-scale environments with its serverless platform, while Foundry simplifies complex tasks with its intuitive design.

Features: Palantir Foundry offers collaborative analytics, seamless data integration, and a comprehensive suite of tools for enterprise data management. AWS Glue features a serverless architecture, excellent scalability, and smooth integration with Amazon's cloud ecosystem.

Room for Improvement: Palantir Foundry could enhance its scalability and integration with other cloud services, as well as offer more flexible pricing options. AWS Glue could improve its user interface to be more intuitive for non-technical users and strengthen its collaborative features and data visualization capabilities.

Ease of Deployment and Customer Service: Palantir Foundry provides a streamlined deployment process with robust support for complex architectures. AWS Glue benefits from Amazon's extensive cloud infrastructure, offering an automated and scalable deployment experience. Foundry is noted for its hands-on customer support, whereas AWS Glue excels in online resources and integrated cloud support.

Pricing and ROI: Palantir Foundry's setup cost tends to be higher due to specialized features suitable for large enterprises, promising a significant ROI for extensive operations. AWS Glue offers flexible pricing, appealing to businesses seeking cost efficiency, with lower initial costs and scalable pricing models providing gradual ROI growth.

To learn more, read our detailed AWS Glue vs. Palantir Foundry Report (Updated: June 2026).

Buyer's Guide

AWS Glue vs. Palantir Foundry

June 2026

Download the complete report

Helped 900,747 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:

ROI

Sentiment score

5.9

Organizations find AWS Glue efficient and cost-effective despite overhead costs, though some consider alternatives due to budget constraints.

Sentiment score

5.0

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

I advocate using Glue in such cases.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

For more quotes and insights, download the AWS Glue report

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

Customer Service

Sentiment score

6.5

AWS Glue customer service is praised for responsiveness and effectiveness, with mixed feedback on support speed, costs, and consistency.

Sentiment score

6.2

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

Upgrades occur every four months, and new developments coincide with version updates.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

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

Scalability Issues

Sentiment score

7.8

AWS Glue is highly scalable and serverless, praised for easy resource management, but needs better parallel computation.

Sentiment score

6.1

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

It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

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

Stability Issues

Sentiment score

7.9

AWS Glue is stable and reliable with minor issues, scaling well, and efficient due to serverless architecture and tool integration.

Sentiment score

7.6

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

AWS Glue is highly stable, and I would rate its stability as nine.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

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

Room For Improvement

AWS Glue faces challenges with startup times, interface complexity, language limitations, cost, performance, integration, and multi-cloud compatibility.

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

Migrating jobs from version 3.0 to 4.0 can present compatibility issues.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

A more user-friendly and simpler process would help speed up the deployment process.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

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

Setup Cost

AWS Glue offers flexible, efficient serverless architecture but can be costly and unpredictable, especially for smaller organizations.

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

Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

AWS charges based on runtime, which can be quite pricey.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

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

Valuable Features

AWS Glue excels with its easy interface, scalable ETL processing, seamless AWS integration, affordability, and serverless architecture.

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

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

AWS Glue has reduced efforts by 60%, which is the main benefit.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

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

Categories and Ranking

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Palantir Foundry

Ranking in Cloud Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Integration (5th), IT Operations Analytics (5th), Supply Chain Analytics (1st), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

Mindshare comparison

As of June 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.6%, down from 18.8% compared to the previous year. The mindshare of Palantir Foundry is 4.1%, down from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
AWS Glue	7.6%
Palantir Foundry	4.1%
Other	88.3%

Cloud Data Integration

Featured Reviews

Sridivya Chillappa

application security engineer at Hyperspace IT India

Efficient data integration reduces operational time and enhances metadata management

For the initial setup with AWS Glue, I find it easy to set up the data catalog and create Glue jobs using the visual editor or the visual code. Setting permission sets via IAM rules can be a bit tricky at the start, but we ensure Glue has access to AWS S3, Redshift, and other services. Once the role is configured, it runs smoothly. For advanced configurations, connecting to VPCs and setting up connections with JDBC sources takes more time compared to my cloud experience, but overall, for someone with cloud and ETL experience, the setup is manageable and well done.

Read full review

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

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Comms Service Provider

Manufacturing Company

14%

Financial Services Firm

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	34

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

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

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

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 39% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

Amazon Data Firehose vs AWS Glue

Compared 3% of the time

Matillion Data Productivity Cloud vs AWS Glue

Compared 3% of the time

More AWS Glue Competitors

Cognizant AI & Analytics vs Palantir Foundry

Compared 5% of the time

Confluent vs Palantir Foundry

Compared 4% of the time

Databricks vs Palantir Foundry

Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

Cloudera Data Platform vs Palantir Foundry

Compared 2% of the time

More Palantir Foundry Competitors

Product Reports

Buyer's Guide

AWS Glue

June 2026

Download AWS Glue product report

Buyer's Guide

Palantir Foundry

June 2026

Download Palantir Foundry product report

Overview

AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.

AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.

What are AWS Glue's most important features?

Seamless AWS Integration: Connects effortlessly with services like S3, Redshift, and Athena.
Serverless Operation: Removes the need for infrastructure management.
Flexible Data Format Handling: Supports various data formats for comprehensive data management.
User-Friendly GUI: Simplifies the creation and management of ETL jobs.
Data Catalog: Provides an organized repository for metadata management.
Real-Time Data Backup: Ensures data integrity and availability.
Code Generation: Facilitates easy script generation for data processes.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Reduced operational costs through serverless architecture.
High Performance: Efficient data processing and transformation capabilities.
Scalability: Adapts to businesses' evolving data demands.
Ease of Use: Intuitive interface allowing streamlined ETL workflows.
Automation: Simplified data pipeline tasks saving time and effort.

Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.

Amazon Web Services (AWS)

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

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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

Buyer's Guide

AWS Glue vs. Palantir Foundry

June 2026

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