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HiveMQ Edge 2025.7 is Released

by HiveMQ Team

What’s new in HiveMQ Edge 2025.7

HiveMQ Edge release of 2025.7 is a maintenance release to improve HiveMQ Edge’s performance and reliability, addressing known bugs and recent feedback from the community and customers.

Find below a list of changes and improvements included in this release:

  • Deleting combiners no longer triggers error messages.
  • The combiner editor now consistently displays tags, topic filters, and schemas.
  • Keyboard-only “drag and drop” is now fully supported in the combiner’s mapping interface.
  • The combiner can detect similar properties between source and destination and suggest mappings.
  • Uploaded schemas for mappings now provide immediate validation feedback.
  • Validation feedback is now shown for every field in the combiner editor.
  • Combiner events are properly linked to their configuration editor in the Event Log.
  • The schemas used in mappings now fully support all defined validation rules.
  • Data Hub preset file validation has been improved to enforce strict versioning (starting at 1 with no gaps).
  • In the tag list, schemas are only visible if the device supports Southbound mappings.
  • The combiner now displays feedback about the validity of uploaded schemas.
  • Fixed an issue where a bug prevented policies from being checked and published.
  • Fixed an error in the volume claim template caused by dynamic tags.
  • Corrected typos in events displayed in the UI.
  • Deleting combiners no longer triggers error messages.

Get Started Today

Use the download link Get HiveMQ Edge 2025.7, or find us on GitHub and Docker:

Get started by running

    docker run --name hivemq-edge --pull=always -d -p 1883:1883 -p 8080:8080 hivemq/hivemq-edge
  

or clone our repository

    git clone git@github.com:hivemq/hivemq-edge.git
  


HiveMQ Team

Team HiveMQ shares deep expertise in MQTT, Industrial AI, IoT data streaming, Unified Namespace (UNS), and Industrial IoT protocols. Our blogs explore real-world challenges, practical deployment guidance, and best practices for building modern, reliable, and a secure data backbone on the HiveMQ platform, along with thought leadership shaping the future of the connected world.

We’re on a mission to build the Industrial AI Platform that transforms industrial data into real-time intelligence, actionable insights, and measurable business outcomes.

Our experts are here to support your journey. Have questions? We’re happy to help. Contact us.

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