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The unified MQTT platform for real-time AI and IoT data streaming.

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Reviews onG2Capterra
31 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Combines real-time and durable messaging, reducing infrastructure complexity.

Biggest con

Custom pricing for BYOC and Enterprise plans requires direct contact, lacking transparency.

TL;DR - EMQX

  • Unifies MQTT pub/sub and durable message queuing in a single platform.
  • Provides high scalability and reliability for IoT and AI data streaming.
  • Offers extensive integrations and enterprise-grade security features.
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms

What is EMQX?

Editorial review
EMQX is a highly scalable and reliable MQTT platform designed to handle massive concurrent connections and real-time data streaming for IoT and AI applications. It unifies real-time MQTT publish/subscribe messaging with durable message queuing capabilities, eliminating the need for separate systems like RabbitMQ or Kafka. This platform is built for mission-critical performance, supporting millions of concurrent connections with sub-millisecond latency and ensuring zero data loss through durable storage. It seamlessly moves device data from edge to cloud, integrating with over 50 cloud services and enterprise systems. EMQX is ideal for industries such as automotive, energy, smart home, and autonomous driving, providing a robust messaging backbone for sensing, thinking, and acting in physical AI environments.

Available on: Web

Pros & Cons

Pros

  • Combines real-time and durable messaging, reducing infrastructure complexity.
  • Achieves extremely high scalability and low latency for demanding applications.
  • Offers robust security features suitable for enterprise and regulated environments.
  • Provides extensive data integration capabilities with various cloud and enterprise systems.
  • Supports AI-driven workflows with native LLM integrations.

Cons

  • Custom pricing for BYOC and Enterprise plans requires direct contact, lacking transparency.
  • Self-managed Enterprise plan requires customers to handle monitoring and maintenance.

Ratings Across the Web

4.6(31 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Real-time MQTT Pub/SubDurable Message Queue with persistent storageNative integration with LLMs (OpenAI, Claude, Gemini) for AI processingBuilt-in SQL-based rule engine for on-the-fly data transformation50+ enterprise data integrations (Kafka, PostgreSQL, AWS S3, MongoDB, Oracle, SAP)Horizontally scalable architecture supporting 200M+ concurrent connectionsEnterprise security with TLS/mTLS, X.509, JWT, ACL/RBAC, and audit logsObservability and control with per-topic and client metrics, and end-to-end tracing

Pricing Plans

Free Trial

Serverless

$0 / Month

  • Free quota every month. Pay-as-you-go beyond.
  • Up to 1000 connections
  • Free monthly quota on sessions, traffic, and rule actions
  • TLS/SSL encryption
  • Basic monitoring & alerts
  • 8/5 Support

Dedicated Flex

$234 / Month

  • Includes traffic allowance and 24/7 support.
  • Dedicated, isolated cluster
  • VPC Peering & Private Link
  • 40+ out-of-box integrations
  • 99.99% Uptime SLA
  • 24/7 Premium Support

BYOC

Custom

  • Tailored to your security & compliance needs.
  • Deployed in your VPC
  • Custom data plane & control plane
  • Managed upgrades and observability
  • Tailored for specific compliance

Enterprise

Custom

  • High-performance MQTT with advanced security, governance, and data integration for regulated or air-gapped environments.
  • Annual subscription
  • Deploy anywhere (on-prem, edge, cloud)
  • Custom plugins & extensions
  • Professional services
  • Priority feature requests

How EMQX's pricing compares

At $234/mo, EMQX is mid-range of its 2 direct competitors ($29 to $299/mo across the set).

EMQX
$234

Entry paid plan, monthly.

Reviews

4.6/5

Across 31 verified user reviews on G2, Capterra

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EMQX FAQ

How does EMQX ensure zero data loss for mission-critical IoT applications?

EMQX achieves zero data loss through its durable message queue and built-in distributed and replicated storage layer, powered by RocksDB and Raft consensus. This ensures messages persist even if subscribers are offline, with configurable TTL, dispatch strategies, and last-value semantics.

Can EMQX integrate with specific AI models like Google Gemini for real-time data processing?

Yes, EMQX offers native integration with leading AI models, including OpenAI GPT, Anthropic Claude, and Google Gemini. This allows for real-time processing of MQTT payloads, enabling features like anomaly detection and intelligent alert generation directly from IoT data streams.

What is the primary difference between the BYOC and Enterprise plans for self-managed deployments?

In the BYOC (Bring Your Own Cloud) plan, EMQX manages monitoring and maintenance, providing assistance with issue resolution. Conversely, the self-managed Enterprise plan requires customers to handle their own monitoring and maintenance responsibilities.

How does EMQX's rule engine facilitate on-the-fly data transformation for IoT data?

The built-in SQL-based rule engine in EMQX allows users to extract, filter, enrich, and transform IoT data in real-time. This is further enhanced by a schema registry, message codec, and a visual flow editor, providing powerful capabilities for data manipulation before integration with other systems.

What protocols does EMQX support beyond MQTT for device connectivity?

Beyond MQTT, EMQX supports various open standard protocols for device connectivity, including HTTP, QUIC, and LwM2M/CoAP, providing flexibility for integrating diverse IoT devices and systems.

Source: emqx.io

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