We performed a comparison between Matillion ETL 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."It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It is pretty user-friendly, even for people who aren't super technical."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"The solution offers very good end-to-end capabilities."
"The virtualization tool is useful."
"The interface is really user-friendly."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"In the next release, we would like to have connections to more databases."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"It needs integration with more data sources."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The workflow could be improved."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"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."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"If you want to create new models on specific data sets, computing that is quite costly."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 13 reviews. Matillion ETL is rated 8.6, while Palantir Foundry is rated 7.6. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer. See our Matillion ETL vs. Palantir Foundry report.
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