We performed a comparison between AWS Glue and Palantir Foundry based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"We have found it beneficial when moving data from one source to another."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"I like the fact that AWS Glue works with Python scripts."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"The most valuable features currently are glue studio, jobs, and triggers."
"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."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"The virtualization tool is useful."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The data lineage is great."
"Great features available in one tool."
"It's scalable."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"We face performance issues when using AWS Glue for data transformation and integration."
"The solution's visual ETL tool is of no use for actual implementation."
"While working on AWS Glue, I could not find any training material for it."
"The solution’s stability could be improved."
"There should be more connectors for different databases."
"I would like to see stable libraries at the moment they are not there."
"The solution could use more online documentation for new users."
"If you want to create new models on specific data sets, computing that is quite costly."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Difficult to receive data from external sources."
"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."
"Cost of this solution is quite high."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 13 reviews. AWS Glue is rated 7.8, while Palantir Foundry is rated 7.6. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Informatica Enterprise Data Catalog, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, Alteryx Designer and Splunk Enterprise Security. See our AWS Glue vs. Palantir Foundry report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud 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.