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."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."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"It has good integrations with Amazon Redshift and other AWS services."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"It has improved the costs of managing my customer’s data."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The loading of data is the most valuable feature of Matillion ETL."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"Matillion ETL is one hundred percent stable."
"Its documentation could be improved."
"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."
"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."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"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."
"The cost of the solution is high and could be reduced."
"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."
"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."
Earn 20 points
CloverETL is ranked 60th 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 iWay Universal Adapter Framework and Talend Open Studio, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS.
See our list of best Cloud Data Integration vendors.
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.
