The unified MQTT platform for AI and IoT data streaming, connecting devices to applications and AI services.
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23 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Eliminates the need for separate messaging systems by unifying MQTT and message queuing.
Biggest con
Custom pricing for BYOC and Enterprise plans requires direct contact, lacking immediate transparency.
TL;DR - EMQ
- Unifies real-time MQTT pub/sub with durable message queuing for IoT and AI data streaming.
- Achieves massive scalability and reliability, supporting millions of concurrent connections with low latency and zero data loss.
- Integrates natively with leading AI models and over 50 enterprise systems for advanced data processing and automation.
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms
What is EMQ?
EMQX is a highly scalable and reliable MQTT platform designed for real-time data streaming in IoT and AI applications. It acts as a messaging backbone, unifying real-time MQTT pub/sub with durable message queuing in a single platform, eliminating the need for separate systems like RabbitMQ or Kafka. This enables mission-critical performance at scale, supporting millions of concurrent connections with sub-millisecond latency and guaranteed data delivery.
The platform is built to move device data seamlessly from edge to cloud, integrating with over 50 cloud services and enterprise systems. It provides enterprise-grade security, governance, and observability, making it suitable for regulated or air-gapped environments. EMQX is particularly valuable for industries such as automotive, manufacturing, energy, and smart homes, where reliable, real-time data exchange is crucial for advanced applications and AI-driven insights.
EMQX offers flexible deployment options, including fully-managed serverless or dedicated clusters, BYOC (Bring Your Own Cloud) for managed services within a customer's cloud account, and self-managed enterprise deployments. It supports native integration with leading AI models like OpenAI GPT, Anthropic Claude, and Google Gemini for real-time anomaly detection and intelligent automation workflows.
Available on: Web
Pros & Cons
Pros
- Eliminates the need for separate messaging systems by unifying MQTT and message queuing.
- Provides exceptional scalability and reliability for mission-critical IoT and AI applications.
- Offers native integration with major AI models for real-time intelligent data processing.
- Extensive data integration capabilities with a wide range of cloud services and enterprise systems.
- Flexible deployment options including fully-managed, BYOC, and self-managed solutions.
Cons
- Custom pricing for BYOC and Enterprise plans requires direct contact, lacking immediate transparency.
- Self-managed Enterprise plan requires customers to handle monitoring and maintenance.
- The complexity of advanced features like the rule engine and flow designer may have a learning curve.
Ratings Across the Web
4.6(23 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Unified MQTT & Message QueueReal-time MQTT Pub/SubDurable Message Queue with persistent storageNative MQTT 5.0 supportLLM-Powered Intelligence with native AI model integration (OpenAI, Claude, Gemini)On-the-Fly Data Transformation with SQL-based rule engineEnterprise Data Integration with 50+ connectorsHorizontally scalable architecture (200M+ concurrent connections)
Pricing Plans
Free TrialPricing checked Jul 6, 2026
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
Reviews
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4.6/5
Across 23 verified user reviews on G2
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EMQ FAQ
How does EMQ streamline data infrastructure for IoT and AI applications?
EMQ unifies real-time MQTT pub/sub with durable message queuing in a single platform, eliminating the need for separate messaging systems like RabbitMQ or Kafka. This consolidation simplifies the data architecture for mission-critical IoT and AI data streaming.
Which teams benefit most from using EMQ?
Teams in industries such as automotive, manufacturing, energy, and smart homes, where reliable, real-time data exchange is crucial for advanced applications and AI-driven insights, will find EMQ particularly valuable. It is designed for environments requiring mission-critical performance at scale.
How does EMQ compare to HiveMQ for real-time data streaming?
EMQ differentiates itself by unifying real-time MQTT pub/sub with durable message queuing in a single platform, which can eliminate the need for separate systems. It also offers native integration with leading AI models for real-time anomaly detection and intelligent automation workflows.
What kind of limitations should users consider when deploying EMQ?
Users should be aware that custom pricing for BYOC and Enterprise plans requires direct contact, which means immediate pricing transparency is not available. Additionally, the self-managed Enterprise plan requires customers to handle their own monitoring and maintenance.
Does EMQ include a free tier?
Yes, EMQ offers a free tier for users to get started. Beyond the free tier, paid plans are available to accommodate more extensive usage and additional features.
How does EMQ support AI-driven insights from IoT data?
EMQ supports AI-driven insights by offering native integration with leading AI models like OpenAI GPT, Anthropic Claude, and Google Gemini. This enables real-time anomaly detection and intelligent automation workflows directly from the streamed IoT data.
Can EMQ be deployed in air-gapped environments?
Yes, EMQ is designed with enterprise-grade security, governance, and observability features that make it suitable for regulated or air-gapped environments. It provides flexible deployment options including self-managed enterprise deployments to meet such requirements.
Source: emqx.com