MQTT COMPARISON
2 min readMQTT vs Kafka: Key Differences and When to Use Each
MQTT is a lightweight pub/sub protocol for connecting devices over unreliable networks; Apache Kafka is a distributed event-streaming log for high-throughput backend data pipelines. They solve different problems and are frequently used together — MQTT at the edge, Kafka in the data center.
What each one is for
MQTT is a messaging protocol. It connects large numbers of devices to a broker over constrained, unreliable networks and pushes small messages with minimal overhead. Apache Kafka is a distributed event-streaming platform — a durable, replayable log that backend systems use to move and process high-throughput data. One lives at the edge; the other lives in the data center.
MQTT vs Kafka at a glance
| MQTT | Apache Kafka | |
|---|---|---|
| Type | Pub/sub messaging protocol | Distributed event-streaming log |
| Primary use | Device connectivity at the edge | Backend data pipelines & analytics |
| Clients | Millions of lightweight devices | Fewer high-throughput services |
| Network | Unreliable, low-bandwidth | Reliable data-center links |
| Retention / replay | Last value only (retain flag); no replay | Core feature — durable, replayable log |
| Delivery | QoS 0 / 1 / 2 | At-least-once / exactly-once (config) |
When to use which
Use MQTT when you need to connect and command devices in the field — telemetry, presence, low-latency control. Use Kafka when you need to durably store, buffer, and process large streams of events across backend services. Choosing "MQTT or Kafka" is usually the wrong question.
Using them together
The common pattern is a pipeline: devices publish over MQTT to a broker, and the broker forwards that data into Kafka for storage, stream processing, and analytics. This gives you MQTT's edge-friendly connectivity and Kafka's durable, replayable backbone. TBMQ is built on exactly this idea — it uses Kafka internally for durability and can bridge MQTT traffic straight into your own Kafka topics via its Kafka integration.
Frequently asked questions
Can MQTT replace Kafka?
Usually no. MQTT connects devices over unreliable networks; Kafka stores and streams high-throughput event data for backend processing. Most architectures use MQTT at the edge and Kafka in the data center rather than choosing one.
Does Kafka support MQTT?
Kafka does not speak MQTT natively. You bridge them with an MQTT broker or connector. TBMQ is Kafka-backed internally and can forward MQTT messages into Kafka topics.
How do I connect MQTT to Kafka?
Run an MQTT broker that publishes incoming messages to Kafka, or use a Kafka connector. TBMQ has a built-in Kafka integration that forwards incoming MQTT messages to your own Kafka topics, so you don’t have to run a separate bridge.
Is MQTT faster than Kafka?
They optimize for different things. MQTT minimizes per-message overhead and latency for many small device messages; Kafka maximizes sustained throughput and durable retention for backend streams.
Run it yourself
TBMQ is a free, open-source MQTT broker built to scale. Spin it up in minutes or try the live demo — no install required.