As a long-time contributor and supporter of the Apache Hop project, our team is happy to see this release come to life as the result of two months of focused development across 84 tickets by 8 contributors.
This release brings key enhancements, new features, and continued progress in making Apache Hop a powerful, flexible platform for building and orchestrating data workflows.
What’s new in Apache Hop 2.13.0?
Multiple GCP Storage locations
Apache Hop now supports connecting to multiple GCP Storage locations at once, ideal for organizations working across multiple GCP projects or regions. This makes cloud integration even more scalable.
MySQL Bulk Loader transform
Building on the existing MySQL Bulk Loader action, Apache Hop 2.13 introduces a dedicated transform for MySQL Bulk loading, giving data engineers the possibility to load large volumes of data into MySQL directly from within a pipeline.
Improved transform behavior
- The Text File Input transform now supports newline characters within fields, improving parsing for complex text data.
- Workflows benefit from more robust validation logic, a step forward in making design-time feedback faster and clearer.
A growing open source community
Apache Hop continues to grow, not only in features but in community. Since the 2.12 release in December, 2024, we’ve seen encouraging momentum across channels:
- LinkedIn: 3,050 followers (+203)
- Twitter/X: 973 followers (+17)
- YouTube: 1,390 subscribers (+70)
None of this progress would be possible without the global community that contributes, tests, documents, and advocates for Apache Hop.
Get started with Apache Hop 2.13.0
The latest version of Apache Hop is available for download now. You can access the release here and start exploring the new features and improvements today.
The Apache Hop community invites you to share your feedback, contribute to discussions, report issues, or get directly involved in development. Your insights and participation are essential in shaping future releases and ensuring that Apache Hop continues to evolve in response to the needs of data professionals worldwide.
To learn how to contribute, check out the contribution guidelines and Github discussions.
Apache Hop and know.bi
know.bi has been committed to Apache Hop since the very early days, and will continue to contribute to and support Apache Hop.
Reach out if you want to find out more about Apache Hop, if you'd like to upgrade from PDI/Kettle or Talend, or if you'd like to discuss how we can help you build a successful data project or data platform with Apache Hop.
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Apache Hop 2.13.0 is available