Technical Deep Dive
MQTT and Kafka Solve Different Layers of Industrial Telemetry
A workload-led comparison of device-facing messaging and the durable enterprise event backbone in OT-to-cloud architectures.
Operational context
MQTT and Kafka are not universal substitutes. They become complementary when their responsibilities, failure modes and trust boundaries are explicit.
01
MQTT at the operational edge
MQTT suits constrained publishers, intermittent links and lightweight topic-based delivery through a broker close to devices or gateways.
- Small protocol overhead
- Quality-of-service choices
- Persistent sessions and buffering
02
Kafka as an enterprise event backbone
Kafka supports high-throughput durable streams, replay, partitions and multiple independent consumers across analytics, Digital Twins, observability and AI.
- Durable ordered partitions
- Replay and consumer independence
- Enterprise schema and stream processing
03
Design the bridge
A bridge must make topic mapping, schema validation, identity, buffering, duplication, provenance and recovery explicit.
- Broker-to-event mapping
- Connectivity-loss behavior
- Data quality and observability
More context
Begin with the mission
What Are You Trying to Modernize, Protect, or Govern?
Begin with the environment, operational constraints, and desired outcome—not a product.