We performed a comparison between CloverETL and Matillion ETL based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"No dependence on native language and ease of use."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"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."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"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 improved the costs of managing my customer’s data."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."
"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."
"Its documentation could be improved."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"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."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
Earn 20 points
CloverETL is ranked 61st in Data Integration while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. CloverETL is rated 7.0, while Matillion ETL is rated 8.6. The top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". CloverETL is most compared with SSIS, Talend Open Studio and iWay Universal Adapter Framework, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS.
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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.