Cost-Efficient Architecture
HiveMQ's Java footprint typically needs more CPU and memory headroom at scale. EMQX runs on the lightweight Erlang VM, built for massive concurrency and up to 50% lower TCO.
Switch to EMQX: a source-available, multi-cloud enterprise MQTT platform built for scalable IoT data movement, native data processing, and flexible deployment without cloud lock-in.
The core reasons global teams choose EMQX for mission-critical MQTT scale, data movement, and deployment flexibility.
HiveMQ's Java footprint typically needs more CPU and memory headroom at scale. EMQX runs on the lightweight Erlang VM, built for massive concurrency and up to 50% lower TCO.
EMQX gives teams more control over where and how their MQTT platform runs, with source-available software and deployment choices across cloud, BYOC, edge, and self-managed environments.
Use Flow Designer, the SQL rule engine, and LLM nodes to build real-time MQTT data flows without pushing every pipeline into custom application code.
Stream MQTT data into databases, queues, warehouses, webhooks, and cloud services with built-in integrations that reduce middleware work.
Move beyond JVM sizing, extension-heavy workflows, and extra integration work. EMQX gives you a lighter MQTT core with native data processing and flexible deployment.
Java-based deployments typically need more CPU and memory headroom, plus JVM tuning as MQTT traffic and connection counts grow.
Advanced routing, transformation, and workflow logic often depends on extensions, custom Java development, or external services.
Pipelines to databases, streams, analytics systems, and AI workflows can add extension maintenance and extra middleware.
A proprietary platform can limit deployment freedom and make long-term cost control harder as architecture needs change.
Run a lightweight, fault-tolerant MQTT core designed for high concurrency and efficient infrastructure use.
Filter, enrich, transform, and route device data in real time using familiar SQL-based rules and built-in actions.
Build visual MQTT data flows and add LLM-based processing where it fits your governance and application requirements.
Deploy across EMQX Cloud, BYOC, self-managed Enterprise, edge, and hybrid environments without being locked into one operating model.
Java-based deployments typically need more CPU and memory headroom, plus JVM tuning as MQTT traffic and connection counts grow.
Run a lightweight, fault-tolerant MQTT core designed for high concurrency and efficient infrastructure use.
Advanced routing, transformation, and workflow logic often depends on extensions, custom Java development, or external services.
Filter, enrich, transform, and route device data in real time using familiar SQL-based rules and built-in actions.
Pipelines to databases, streams, analytics systems, and AI workflows can add extension maintenance and extra middleware.
Build visual MQTT data flows and add LLM-based processing where it fits your governance and application requirements.
A proprietary platform can limit deployment freedom and make long-term cost control harder as architecture needs change.
Deploy across EMQX Cloud, BYOC, self-managed Enterprise, edge, and hybrid environments without being locked into one operating model.
Adjust your device metrics to see a real-time cost comparison and discover your potential monthly savings when choosing EMQX over HiveMQ.
Potential Monthly Savings:
$6,862
Savings Percentage
64%
Disclaimer: This is an estimate for comparison purposes. Actual costs may vary by region, deployment model, traffic, discounts, support level, and contract terms.
EMQX is engineered as a unified platform for IoT data and intelligence, not just a simple broker.
Build visual data flows for MQTT streams and add LLM-based processing for classification, summarization, enrichment, and real-time insights.
Connect MQTT data to Kafka, PostgreSQL, InfluxDB, webhooks, cloud services, and other downstream systems with built-in integrations.
Filter, enrich, and route device data in real time using familiar SQL syntax and platform-native actions.
Extend MQTT architectures toward edge and industrial systems with EMQX Edge, EMQX Neuron, and protocol gateway options where needed.
Run self-managed Enterprise, EMQX Cloud, BYOC, Dedicated Flex, edge, or hybrid architectures depending on your operations and compliance needs.
Operate large MQTT fleets with clustering, observability, security controls, and operational tooling designed for production environments.
When selecting an MQTT platform, architecture, data processing, and integration depth shape both your roadmap and your operating cost. Here is where EMQX changes the equation.
Java-based architecture means teams plan for JVM sizing, CPU/RAM headroom, and runtime tuning as deployments scale.
Integration work is handled through enterprise extensions and project-specific implementation.
Strong MQTT support for standard broker deployments.
A lightweight Erlang/OTP core is built for massive concurrency and fault tolerance, helping reduce infrastructure overhead for large MQTT fleets.
Native connectors move MQTT data into databases, streams, warehouses, webhooks, and cloud services with fewer moving parts.
MQTT over QUIC helps improve continuity for mobile, roaming, and unreliable network scenarios.
Connected Devices
Connected Vehicles
Cluster Deployments
Global Customers
Fortune 500 Clients
From automotive giants to semiconductor leaders, enterprises trust EMQX for mission-critical IoT.
EMQX powers next-generation connected vehicle platforms for leading automakers, supporting reliable MQTT communication, scalable data movement, and real-time application development.
EMQX helps energy organizations connect large-scale device fleets and move critical operational data for smart grid modernization.
EMQX supports unified industrial IoT data movement across factories, helping teams simplify integration, monitoring, and real-time operations.
Quick answers about migration, savings, and EMQX capabilities.
Take control of your MQTT infrastructure and your budget. Start building on a platform designed for performance, freedom, and predictable cost.