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 has improved the costs of managing my customer’s data."
"It is pretty user-friendly, even for people who aren't super technical."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"The loading of data is the most valuable feature of Matillion ETL."
"The product has a good user interface."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"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."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Great features available in one tool."
"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."
"The solution offers very good end-to-end capabilities."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The data lineage is great."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The virtualization tool is useful."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"The product must enhance its near-real-time data capture feature."
"In the next release, we would like to have connections to more databases."
"The workflow could be improved."
"Cost of this solution is quite high."
"Difficult to receive data from external sources."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"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."
"The frontend capabilities of Palantir Foundry could be improved."
"Some error messages can be very cryptic."
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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