ConfigsApr 13, 2026·3 min read

EMQX — Scalable MQTT Broker for IoT and Connected Devices

EMQX is the most scalable open-source MQTT message broker. It handles 100 million+ concurrent connections with millisecond latency, powering IoT platforms, connected vehicles, industrial automation, and real-time messaging for smart devices.

AI
AI Open Source · Community
Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

# Run with Docker
docker run -d --name emqx \
  -p 1883:1883 -p 8083:8083 \
  -p 8084:8084 -p 8883:8883 \
  -p 18083:18083 \
  emqx/emqx:latest

# Access dashboard at http://localhost:18083
# Default: admin / public

# Test with MQTT client
pip install paho-mqtt
python3 -c "
import paho.mqtt.client as mqtt
client = mqtt.Client()
client.connect('localhost', 1883)
client.publish('test/topic', 'Hello MQTT!')
client.disconnect()
print('Message published')
"

Introduction

EMQX is the world's most scalable MQTT broker, designed for mission-critical IoT deployments. A single EMQX cluster can handle over 100 million concurrent device connections with sub-millisecond message latency. It is the backbone of IoT platforms at companies like HPE, VMware, Veolia, and automotive manufacturers.

With over 16,000 GitHub stars, EMQX supports MQTT 5.0, MQTT-SN, CoAP, and LwM2M protocols. It provides built-in authentication, rule engine for data routing, and integrations with databases, message queues, and cloud services.

What EMQX Does

EMQX receives messages from IoT devices via MQTT protocol, routes them based on configurable rules, and delivers them to subscribers or external systems. Its rule engine can filter, transform, and forward messages to Kafka, databases, HTTP endpoints, and cloud services without writing code.

Architecture Overview

[IoT Devices / Sensors / Apps]
MQTT 3.1.1, MQTT 5.0,
WebSocket, CoAP, LwM2M
        |
   [EMQX Cluster]
   Distributed Erlang/OTP
   Masterless clustering
        |
+-------+-------+-------+
|       |       |       |
[Auth]   [Rule    [Data
LDAP,    Engine]  Bridge]
JWT,     Filter,  Kafka,
MySQL,   transform PostgreSQL,
Redis    route    HTTP, S3
        |
   [Dashboard]
   Real-time monitoring
   Client management
   Rule configuration

Self-Hosting & Configuration

# Docker Compose cluster
version: "3.8"
services:
  emqx1:
    image: emqx/emqx:latest
    environment:
      EMQX_NAME: emqx
      EMQX_CLUSTER__DISCOVERY_STRATEGY: static
      EMQX_CLUSTER__STATIC__SEEDS: "[emqx@emqx1.emqx.io, emqx@emqx2.emqx.io]"
    ports:
      - 1883:1883
      - 18083:18083

  emqx2:
    image: emqx/emqx:latest
    environment:
      EMQX_NAME: emqx
      EMQX_CLUSTER__DISCOVERY_STRATEGY: static
      EMQX_CLUSTER__STATIC__SEEDS: "[emqx@emqx1.emqx.io, emqx@emqx2.emqx.io]"

Key Features

  • 100M+ Connections — handle massive device fleets per cluster
  • MQTT 5.0 — full support for the latest MQTT standard
  • Rule Engine — no-code data routing, filtering, and transformation
  • Data Bridges — forward to Kafka, PostgreSQL, MySQL, HTTP, and more
  • Authentication — built-in JWT, username/password, LDAP, X.509 certs
  • Clustering — masterless cluster with automatic discovery
  • WebSocket — MQTT over WebSocket for browser clients
  • Dashboard — real-time monitoring, client management, and configuration

Comparison with Similar Tools

Feature EMQX Mosquitto HiveMQ VerneMQ NanoMQ
Scale 100M+ connections Single-node Enterprise Distributed Embedded
Clustering Yes (masterless) No Yes Yes No
Rule Engine Yes (built-in) No Yes No No
Dashboard Yes No Yes No No
Language Erlang/OTP C Java Erlang C
Best For Large IoT platforms Small/embedded Enterprise Java OSS distributed Edge/embedded
License Apache-2.0 EPL/EDL Commercial Apache-2.0 MIT

FAQ

Q: EMQX vs Mosquitto — which should I use? A: Mosquitto for small deployments, embedded systems, and learning MQTT. EMQX for production IoT platforms that need clustering, rule engine, authentication, and monitoring dashboards.

Q: How does EMQX handle 100 million connections? A: Built on Erlang/OTP (designed for telecom), EMQX uses lightweight processes and distributed state. A cluster of nodes shares the connection load with automatic discovery and failover.

Q: Can EMQX replace Kafka for IoT? A: They serve different purposes. EMQX is a message broker for device connectivity (pub/sub). Kafka is a distributed log for data streaming. Many architectures use both: EMQX for device communication, bridging messages to Kafka for processing.

Q: Is EMQX free? A: EMQX Open Source is free (Apache-2.0) with no connection limits. EMQX Enterprise adds features like data persistence, schema validation, and priority support.

Sources

Discussion

Sign in to join the discussion.
No comments yet. Be the first to share your thoughts.

Related Assets

xsv — Fast CSV Toolkit Written in Rust

xsv is a blazing-fast command-line toolkit for working with CSV data. It provides indexing, slicing, searching, joining, aggregation, and statistics — processing millions of rows per second for data analysis, ETL pipelines, and CSV manipulation.

AI Open Source

Reqwest — Ergonomic HTTP Client for Rust

Reqwest is the most popular HTTP client library for Rust. It provides a high-level, async API for making HTTP requests with automatic JSON serialization, TLS, cookie management, proxy support, and connection pooling — the Rust equivalent of Python requests.

AI Open Source

bottom — Beautiful Cross-Platform System Monitor in Rust

bottom (btm) is a customizable, cross-platform graphical system monitor for the terminal. It displays CPU, memory, network, disk, temperature, and process information with interactive charts — a modern alternative to top, htop, and btop.

AI Open Source
◈Home🔍Search👤Me