One Platform for MQTT, Kafka, and AMQP

Seamlessly connect IoT devices, data pipelines, applications, and AI agents. Streamline your real-time data flow across edge, cloud, and AI.

Core Values

Why FlowMQ

Break Down Data Silos

IoT data flows directly into event streams. Cross-system integration shifts from moving data to subscribing.

Simplify Architecture

One platform for Pub/Sub, Queue, and Stream. Teams connect with the protocol they already know.

Cloud-Native Elasticity

Stateless architecture with second-level scaling, self-healing, and object-storage-backed durability.

Lower TCO

Object storage replaces EBS. One platform replaces multiple clusters. Less infra, less ops.

How It Works

Three Steps to Cross-Protocol Messaging

Adapt any protocol, route through one engine, deliver in multiple modes.

MQTT Client
Kafka Producer
AMQP Publisher
Protocol Adaption
Unified Routing
Multi-Mode Delivery
Subscription
Real-time push
Stream
Persistent log
Queue
Reliable processing
01

Protocol Adaption

Adapters normalize MQTT, Kafka, and AMQP messages into a unified format and extract the topic for routing.

02

Unified Routing

A protocol-agnostic engine matches topics to destinations. Adding a protocol means adding an adapter — core routing stays untouched.

03

Multi-Mode Delivery

Deliver by type: Subscription for real-time push, Stream for persistent replay, Queue for reliable ACK-based processing.

Core Capabilities

Built for Unification

No bridges. No glue code. One engine, three messaging paradigms.

Multi-Model Messaging

Pub/Sub, Stream, and Queue in one engine — unified governance for permissions, quotas, and monitoring.

Fan-out broadcasting Persistent event logs ACK-based processing

Cross-Protocol Interop

MQTT-published data is directly consumable by Kafka clients, and vice versa. No bridges or sync jobs.

Native MQTT Native Kafka Native AMQP

Elastic Stateless Architecture

Scale in seconds, replace failed nodes instantly. No lengthy rebalancing.

Self-healing nodes Second-level scaling Zero rebalancing

Object Storage + Multi-Tenancy

S3-compatible persistence with namespace-level isolation, quotas, and tiered storage.

Tiered S3 storage Namespace isolation Per-tenant quotas

Cross-Protocol Interop in Action

MQTT on the device side, Kafka on the data side — no bridges, each protocol at its best.

MQTT Device
Publish telemetry
FlowMQ
Topic
sensors/device-001/telemetry
Routing Engine
Match topic filters
Stream
Persistent event log
Kafka Consumer
Consume sensors.device-001.telemetry

Use Cases

From IoT to microservices, one messaging platform covers every scenario.

IoT & Connected Vehicles

Devices connect via MQTT, cloud consumes via Kafka streams
Teams consume device data through their preferred protocol
Object storage cuts long-term retention costs

Real-Time Data Hub

Event streaming as a Kafka alternative with Stream capabilities
Object storage reduces storage and cross-AZ costs
Stateless architecture simplifies scaling and operations

Microservices Event Bus

Pub/Sub, Stream, and Queue for diverse service needs
Cross-protocol interop — teams pick their preferred protocol
Multi-tenancy and quotas for platform governance

Enterprise Unified Messaging

One platform consolidates messaging, reducing system sprawl
Unified routing eliminates point-to-point sync
Centralized security, monitoring, and audit

Unify Your Messages. Simplify Your Stack.

Start with our free tier — no credit card required. Scale when you're ready.

Unified MQTT & Kafka Platform for Real-time AI, IoT, and Data

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