EMQ, a global leader in MQTT messaging and edge-to-cloud IoT connectivity, announced the release of EMQX Enterprise 5.10, a major update to its flagship MQTT platform, built for industrial, automotive, and AI-enabled IoT applications.

EMQX 5.10 introduces LLM-based processing, native NATS support, and new sinks for Doris and Amazon S3 Tables.

The release introduces powerful new features that help organizations build more intelligent, scalable pipelines for connected device data. With native integration for large language models (LLMs), an AI-powered SQL generator, a new NATS protocol gateway, and expanded support for Amazon S3 Tables and Apache Doris, EMQX Enterprise 5.10 brings unprecedented flexibility to IoT data infrastructure.

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New Capabilities in EMQX Enterprise 5.10

AI Integration for Real-Time Message Processing

The Flow Designer in EMQX now supports integration with LLMs such as GPT-4, Claude, and local models. This allows users to analyze or summarize MQTT messages using natural language, without writing any code. It’s ideal for use cases like predictive maintenance, anomaly detection, and intelligent alerting.

Natural Language SQL Rule Generator

The new AI Rule Generator converts plain English descriptions into valid SQL statements for the Rule Engine. For example, writing “Alert if any device reports a temperature above 90” produces a fully functional SQL rule in seconds. This simplifies rule creation and accelerates configuration for both technical and non-technical users.

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NATS Protocol Gateway for Cross-System Messaging

EMQX 5.10 introduces native support for NATS, a lightweight messaging system used widely in microservices and cloud-native applications. The gateway enables bi-directional communication between MQTT and NATS clients, supporting wildcard topics, queue groups, and request/reply patterns. This makes it easier to unify diverse architectures under a single messaging backbone.

Expanded Data Sink Support for Analytics and Storage

  • Amazon S3 Tables with Iceberg Format
    EMQX now integrates with Amazon S3 Tables using the Apache Iceberg format, allowing scalable storage of MQTT data for long-term analysis. Users can query stored data using Amazon Athena, EMR, Redshift Spectrum, or tools like Trino, Presto, and Snowflake.
  • Apache Doris for Real-Time Analytics
    The release also adds support for Apache Doris, a high-performance analytical database. Users can stream MQTT data into Doris for real-time SQL querying and dashboard visualization through platforms like Grafana, which are ideal for operational monitoring and business intelligence.

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Source – PR Newswire

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