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CloverDX

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73 reviews
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Average star rating
4.3
Serving customers since
2002
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CloverDX Reviews

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25
4
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Deepak P.
DP
Deepak P.
Director - Cloud Practice | Sr. Technical Architect - (Cloud Native & DevOpsSpecialist) for Large Scale Digital Transformations
08/28/2025
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

AI and Usability Improvements Pave the Way for the Future

The most exciting new thing, by far, is the introduction of AI and machine learning components. This is a game-changer. The fact that CloverDX now allows you to run machine learning models locally for things like data classification and anonymization is brilliant. This keeps sensitive data in-house and addresses a lot of the privacy and governance concerns that we, as data and enterprise professionals, have to deal with constantly. Other new OpenAIClient component is also really cool. It lets you integrate large language models (LLMs) into your graphs, giving you the power to do things like text summarization, content generation, and smart data cleaning. I'm also a big fan of the improvements to the Data Manager and Wrangler. The ability to share Data Manager across multiple environments and the enhanced usability in Wrangler, like the Undo/Redo functionality, make a big difference in day-to-day work.
SC
Sathyaseelan C.
08/05/2025
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

Using Clover is Clever

Entire product is awesome and GUI is very good. Easy to understand Very light when compare to other ETL tools available in market .
SV
Stefan v.
03/19/2025
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

CloverDX a great tool to achieve Transformation

I like it that CloverDX is a good visual tool to make data conversion easy to make and easy to build and debug.

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HQ Location:
Prague

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@CloverDX

What is CloverDX?

The CloverDX Data Integration Platform helps boost productivity and trust in data and processes by focusing on automation and robustness of data pipelines. It’s a single platform that covers the needs of the IT teams as well as providing a self-service interface to business users, covering the entire lifecycle of data from ingestion and processing to delivery and consumption.

Details

Year Founded
2002