We performed a comparison between CloverETL and Informatica PowerCenter based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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."
"It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use."
"It reduces a lot of legacy coding."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."
"We can scale the product."
"Enterprise-scale ETL solution that's very stable and is easy to scale. It integrates and connects with multiple new systems, both structured and semi-structured."
"Can manage a huge quantity of data and provide reliability."
"It has very good monitoring and process monitoring."
"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."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"Integrating new tools can be tricky and challenging."
"As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"The pricing could be improved."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
Earn 20 points
CloverETL is ranked 61st in Data Integration while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. CloverETL is rated 7.0, while Informatica PowerCenter is rated 8.0. 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 Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". CloverETL is most compared with SSIS, Talend Open Studio and iWay Universal Adapter Framework, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our CloverETL vs. Informatica PowerCenter report.
See our list of best Data Integration vendors and best Data Visualization vendors.
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.