We performed a comparison between erwin Data Catalog by Quest 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."The data catalog feature is pretty good."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It has good integrations with Amazon Redshift and other AWS services."
"The product has a good user interface."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"It has improved the costs of managing my customer’s data."
"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."
"It has helped us to get onto the cloud quickly."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"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."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"The product must enhance its near-real-time data capture feature."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"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."
"Performance can be improved for efficiency, and it can be made faster."
erwin Data Catalog by Quest is ranked 10th in Metadata Management with 2 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. erwin Data Catalog by Quest is rated 7.6, while Matillion ETL is rated 8.6. The top reviewer of erwin Data Catalog by Quest writes "Helps with metadata management, saves time, and allows us to do impact analysis on any changes". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". erwin Data Catalog by Quest is most compared with Informatica Enterprise Data Catalog, Talend Open Studio, Oracle Data Integrator (ODI), WhereScape RED and Alation Data Catalog, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and Informatica PowerCenter.
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