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. Review collected by and hosted on G2.com.
While the new features are great, there are always things that can be better. The learning curve for some of the more advanced concepts and the CloverDX Transformation Language (CTL) can still be a bit steep for new users. While the documentation is good, a more interactive, guided learning path directly within the designer could help a lot.
Also, some users, including myself, have noted that the support response time could be a bit faster. While the quality of support is excellent, a shorter turnaround on complex issues would be a significant plus. The overall library of out-of-the-box connectors could still be expanded to cover a wider range of modern APIs and services. Review collected by and hosted on G2.com.
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