We performed a comparison between CloverETL and IBM InfoSphere DataStage based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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."
"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."
"The solution is stable."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"It works with multiple servers and offers high availability."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The most valuable feature is the product's versatility to inject data."
"The solution has improved the time it takes to perform tasks related to batch applications."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"The concept of integration is a valuable feature of the product."
"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."
"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."
"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"The response time from support is slow and needs to be improved."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"The pricing should be lower."
"I want the tool to continue with the on-prem version, not the cloud one."
"The troubleshooting guide is very bad."
"It would be useful to provide support for Python, AR, and Java."
Earn 20 points
CloverETL is ranked 60th in Data Integration while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. CloverETL is rated 7.0, while IBM InfoSphere DataStage is rated 7.8. 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 IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". CloverETL is most compared with iWay Universal Adapter Framework and Talend Open Studio, whereas IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter.
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We monitor all 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.
