We performed a comparison between AWS Glue and CloverETL 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."The most valuable features currently are glue studio, jobs, and triggers."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"It's fairly straightforward as a product; it's not very complicated."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"No dependence on native language and ease of use."
"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."
"The product has only a few built-in transformations."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"The mapping area and the use of the data catalog from Glue could be better."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"The monitoring is not that good."
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."
"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."
Earn 20 points
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while CloverETL is ranked 61st in Data Integration. AWS Glue is rated 7.8, while CloverETL is rated 7.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas CloverETL is most compared with Talend Open Studio and iWay Universal Adapter Framework.
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