FlowMQ

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FlowMQ Overview ​

What is FlowMQ? ​

FlowMQ is a next-generation, unified messaging and streaming platform designed to simplify the complex infrastructure for data in motion. It provides native, first-class support for MQTT, Kafka, and AMQP protocols within a single, high-performance routing engine.

By seamlessly combining message queues, data streams, and pub/sub messaging into one cohesive system, FlowMQ represents the next evolution in enterprise messaging, allowing organizations to build modern, event-driven applications without the complexity of managing multiple, specialized brokers.

For example, FlowMQ can connect your entire ecosystem—from IoT devices and data pipelines to microservices and AI agents—on a single platform, streamlining the real-time data flow across edge, cloud, and AI.

The FlowMQ Advantage ​

Traditional messaging architectures require you to stitch together multiple specialized systems, which dramatically increases complexity and operational costs. A typical IoT data pipeline, for instance, will require a dedicated MQTT broker (like EMQX or Mosquitto) to ingest device data. From there, the data is often forwarded through separate bridges: one to Kafka for real-time analytics, and another to an AMQP broker (like RabbitMQ) to connect with enterprise systems.

IoT Devices --[MQTT]--> EMQX --[Bridge]--> Kafka --[Connector]--> Real-Time Analytics
                             --[Bridge]--> RabbitMQ --[AMQP]--> Enterprise Systems

[Traditional Architecture: High Complexity]

FlowMQ consolidates these disparate systems into a single, unified platform, eliminating specialized brokers and integration bridges. It natively ingests device data using MQTT and directly serves it to your analytics platforms via the Kafka protocol and to your enterprise systems via AMQP:

IoT Devices --[MQTT]--> FlowMQ --[Kafka Connector]--> Real-Time Analytics
                               --[AMQP]--> Enterprise Systems

[FlowMQ Architecture: Radically Simplified]

Core Features ​

  • Unified Routing Model: A single routing core seamlessly combines data streams, message queues, and pub/sub into one cohesive system.
  • Universal Connectivity: Native support for MQTT, Kafka, and AMQP protocols allows you to connect any device or application with seamless interoperability.
  • Decoupled Compute and Storage: Leverages cloud storage (S3) and key-value stores for infinite data retention, allowing brokers and storage to be scaled independently.
  • Stateless Broker Design: Stateless brokers enable effortless horizontal scaling, rapid recovery, and simplified cluster management for high availability.
  • Segregated Control Plane: A dedicated control plane separates cluster and metadata management from the critical data path, enhancing system stability.
  • High-Performance Engine: Engineered with C++, modern concurrency patterns, and asynchronous I/O to deliver exceptional speed, low latency, and high resource efficiency.
  • Enterprise-Grade Security: Secure your data end-to-end with built-in TLS encryption, authentication, and authorization.

Key Benefits ​

  • Complete: One platform for all your data needs, including IoT, event streaming, enterprise messaging, and AI data pipeline.
  • Simple: A fully managed cloud service that eliminates operational complexity, allowing your teams to focus on building applications.
  • Cost-Efficient: Lower your Total Cost of Ownership (TCO) by up to 70% compared to the expense of managing multiple specialized brokers.
  • Streamlined: One platform that runs anywhere to unify and streamline real-time data flow across edge, cloud, and AI.

Use Cases ​

  • IoT Data Streaming: Ingest, stream, and process all your IoT data on a single platform, creating a seamless pipeline from device to cloud.

  • Event-Driven Architecture (EDA): A durable backbone for asynchronous microservices communication, event sourcing, and CQRS patterns.

  • Real-Time Analytics & Finance: Build real-time data pipelines for stream processing, instant fraud detection, and low-latency financial trading systems.

  • Connected Vehicles (V2X): Mission-critical messaging for Software-Defined Vehicles (SDV), V2X communication, and autonomous driving systems.

  • IIoT & Manufacturing: Ingest high-volume IIoT data from the factory floor for equipment telemetry, command and control, edge processing, and predictive maintenance.

  • Agentic AI & Robotics: High-speed, reliable communication for multi-agent AI systems and cloud-connected robotics.

  • Gaming & Interactive Apps: Real-time messaging for synchronizing multi-player game state, player interactions, and other live applications.

Getting Started ​

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