We performed a comparison between Collibra Catalog and Matillion ETL based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management."Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"Collibra Catalog's best feature is the data quality checker."
"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."
"We have had no complaints about the stability."
"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"The loading of data is the most valuable feature of Matillion ETL."
"It's been able to do everything we require."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"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."
"It has helped us to get onto the cloud quickly."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"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 tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"I'd like to see more integration with other reporting sources."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"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."
Collibra Catalog is ranked 3rd in Metadata Management with 5 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. Collibra Catalog is rated 7.8, while Matillion ETL is rated 8.6. The top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and Informatica PowerCenter.
We monitor all Metadata Management 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.
