We performed a comparison between Azure Data Factory and CloverETL 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."The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"I am one hundred percent happy with the stability."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The solution can scale very easily."
"An excellent tool for pipeline orchestration."
"The solution is okay."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"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."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"We have experienced some issues with the integration. This is an area that needs improvement."
"Data Factory's performance during heavy data processing isn't great."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"It can improve from the perspective of active logging. It can provide active logging information."
"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
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while CloverETL is ranked 61st in Data Integration. Azure Data Factory is rated 8.0, while CloverETL is rated 7.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of CloverETL writes "Provides wealth of pre-defined, customizable components, and descriptive logging for errors". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas CloverETL is most compared with SSIS, Talend Open Studio and iWay Universal Adapter Framework. See our Azure Data Factory vs. CloverETL report.
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