EMQX vs HiveMQ
On the evidence we track, HiveMQ leads this comparison with a composite score of 68/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for realtime messaging infra. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
EMQX
An MQTT-based infrastructure platform that enables real-time communication between numerous IoT devices and cloud systems, with built-in data processing, 50+ integrations to enterprise backends, and AI agent capabilities for autonomous device monitoring and control.
HiveMQ
LeaderHiveMQ is a real-time data streaming platform built on MQTT that provides reliable, high-performance connectivity for industrial systems and AI applications. It supports both fully-managed cloud deployments and self-hosted installations, enabling enterprises to move operational data reliably at enterprise scale.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
EMQX
Free tier available. Tiered subscription model with different SLA levels (99.9% and 99.99%). Pricing not transparently displayed.
- Standard-
- Enterprise-
HiveMQ
LeaderFree tier available. Starter from $0.34/hour + $0.80/million messages. Enterprise custom.
- Serverless FreeFree
- 100 connections
- 10 GB/month throughput
- Shared MQTT broker
- TLS encryption
- RBAC
- +2 more
- Starter$0.34/hour + $0.80/million messages; 15-day free trial
- Production-ready MQTT with clustering and high availability
- 1 MB/sec max throughput
- 10,000 connections
- TLS encryption, authentication, advanced authorization
- Data Streaming Extensions
- +2 more
- EnterpriseContact sales
- Complete HiveMQ Platform
- Custom connection and throughput limits
- Distributed Data Intelligence
- Agentic AI for Operations (coming soon)
- Up to 99.99% uptime SLA
- +2 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Kafka
EMQX
- Microsoft Azure
- Google Cloud
- Oracle Cloud
- AWS
- OpenAI
- Anthropic
- Google Gemini
- ClickHouse
- Snowflake
- Pulsar
- RabbitMQ
- MySQL
- PostgreSQL
- MongoDB
- InfluxDB
- TDengine
- TimescaleDB
- BigQuery
- S3
- Azure Blob
- Confluent Cloud
- Webhook
HiveMQ
Leader- Amazon Kinesis
- AWS CloudWatch
- Prometheus
- Graphite
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.