Compare Azure Data Factory vs. CloverETL

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while CloverETL is ranked 25th in Data Integration Tools with 2 reviews. Azure Data Factory is rated 8.2, while CloverETL is rated 7.0. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". 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 Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, 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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Azure Data Factory Logo
7,322 views|5,739 comparisons
CloverETL Logo
2,584 views|2,032 comparisons
Most Helpful Review
Find out what your peers are saying about Azure Data Factory vs. CloverETL and other solutions. Updated: March 2020.
405,734 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:

Pros
It is easy to deploy workflows and schedule jobs.From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.It is a complete ETL Solution.Powerful but easy-to-use and intuitive.The most valuable features are data transformations.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.From what we have seen so far, the solution seems very stable.The user interface is very good. It makes me feel very comfortable when I am using the tool.

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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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Cons
The setup and configuration process could be simplified.The user interface could use improvement. It's not a major issue but it's something that can be improved.The Microsoft documentation is too complicated.The product could provide more ways to import and export data.The speed and performance need to be improved.On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.

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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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Pricing and Cost Advice
This is a cost-effective solution.Our licensing fees are approximately 15,000 ($150 USD) per month.In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal.

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405,734 professionals have used our research since 2012.
Ranking
6th
Views
7,322
Comparisons
5,739
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
25th
Views
2,584
Comparisons
2,032
Reviews
1
Average Words per Review
347
Avg. Rating
7.0
Top Comparisons
Compared 29% of the time.
Compared 17% of the time.
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Microsoft
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Overview

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.
Offer
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, salesforce.com, Comcast, Active Network, SHOP.CA
Top Industries
VISITORS READING REVIEWS
Software R&D Company53%
Comms Service Provider9%
Retailer4%
Insurance Company4%
VISITORS READING REVIEWS
Software R&D Company45%
Media Company19%
Comms Service Provider7%
K 12 Educational Company Or School7%
Find out what your peers are saying about Azure Data Factory vs. CloverETL and other solutions. Updated: March 2020.
405,734 professionals have used our research since 2012.
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