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AWS Glue vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 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

AWS Glue
Ranking in Cloud Data Integration
1st
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
50
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Cloud Data Integration
10th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
Data Integration (13th), IT Operations Analytics (8th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of May 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.6%, down from 19.4% compared to the previous year. The mindshare of Palantir Foundry is 4.3%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
AWS Glue7.6%
Palantir Foundry4.3%
Other88.1%
Cloud Data Integration
 

Featured Reviews

SC
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.
BA
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.

Quotes from Members

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

Pros

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."
"The key role of Glue is that it hosts our metadata before rolling out our actual data, which is a major advantage of using this solution and our clients have been very satisfied with it."
"AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"You do not need many frameworks to run Glue."
"We are seeing a very good return on our investment."
"The solution is stable and reliable."
"The most valuable feature of AWS Glue is its ease of use and good documentation, and we can do all the transformations that we need."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The interface is really user-friendly."
"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."
"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."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The AI engine that comes with Palantir Foundry is quite interesting."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
 

Cons

"The setup and installation is a bit complex without advanced knowledge or training."
"The crucial problem with AWS Glue is that it only works with AWS."
"There should be more connectors for different databases."
"I would like to see stable libraries at the moment they are not there."
"It needs improvements in terms of Java support and the turnaround time for our problems."
"The solution's visual ETL tool is of no use for actual implementation."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
"The solution could use more online documentation for new users."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"Cost of this solution is quite high."
 

Pricing and Cost Advice

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."
"If you are using the solution for an enterprise business, it will be expensive."
"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."
"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."
"AWS Glue is a paid service that doesn't come under the free trial of AWS."
"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."
"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."
"AWS Glue is quite costly, especially for small organizations."
"Palantir Foundry has different pricing models that can be negotiated."
"It's expensive."
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
8%
Manufacturing Company
8%
Comms Service Provider
6%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise32
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
 

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.
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...
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...
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...
 

Overview

 

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
Find out what your peers are saying about AWS Glue vs. Palantir Foundry and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.