Compare Azure Data Factory vs. CloverETL

Azure Data Factory is ranked 14th in Data Integration Tools with 2 reviews while CloverETL is ranked 26th in Data Integration Tools with 2 reviews. Azure Data Factory is rated 9.6, while CloverETL is rated 7.0. The top reviewer of Azure Data Factory writes "A straightforward solution with a nice interface and ability to integrate with GitHub". 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 Enterprise Data Catalog, Talend Open Studio and Dell Boomi AtomSphere, whereas CloverETL is most compared with Talend Open Studio, SSIS and Pentaho Data Integration. See our Azure Data Factory vs. CloverETL report.
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2,858 views|2,197 comparisons
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2,521 views|1,986 comparisons
Most Helpful Review
Find out what your peers are saying about Azure Data Factory vs. CloverETL and other solutions. Updated: September 2019.
372,124 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

The solution has a good interface and the integration with GitHub is very useful.This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily.Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added.

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Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility.Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use.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.

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In the next release, it's important that some sort of scheduler for running tasks is added.The thing we missed most was data update, but this is now available as of two weeks ago.

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​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.

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Top Comparisons
Compared 36% of the time.
Compared 16% of the time.

Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.
Learn more about Azure Data Factory
Learn more about CloverETL
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid IBM, Oracle, MuleSoft, GoodData, Thomson Reuters,, Comcast, Active Network, SHOP.CA
Top Industries
Software R&D Company45%
Comms Service Provider7%
No Data Available
Find out what your peers are saying about Azure Data Factory vs. CloverETL and other solutions. Updated: September 2019.
372,124 professionals have used our research since 2012.
We monitor all Data Integration Tools 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.
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