
Redis is an in-memory data structure store that serves multiple roles in industrial architectures: high-speed cache, message broker, stream processor, and lightweight database. For manufacturing and Industry 4.0 applications, Redis Streams provides a purpose-built solution for event sourcing and real-time data pipelines.
Redis Streams is a log data structure that models an append-only sequence of events. Unlike traditional message queues, Streams preserve history and support multiple consumers with different speeds and processing guarantees.
Key features:
1526919030474-55)Deploy Redis at the edge to buffer sensor data during network outages. Streams automatically handle backpressure and allow replay when connectivity returns.
Sensor → Redis Stream → (network restored) → Cloud/ERP
Use Streams as the system of record for machine events. Each state change (start, stop, alarm, parameter update) becomes an immutable event in the stream.
Publish commands to control systems using Redis Pub/Sub or Streams. Guaranteed delivery via consumer groups ensures critical commands are processed exactly once.
Redis integrates with major industrial platforms through:
node-red-contrib-redis nodes for flow-based integrationNode-RED provides native Redis connectivity through the node-red-contrib-redis package, enabling flow-based integration with Redis Streams for industrial IoT pipelines.
Grafana provides native Redis connectivity through the Redis Data Source plugin, enabling visualization of Redis Streams, time-series data, and key metrics.
Redis Streams and Apache Kafka both provide distributed streaming capabilities but differ significantly in scale, persistence model, and operational complexity.
Redis Streams and NATS Streaming/JetStream both provide lightweight message streaming but differ in architecture, performance characteristics, and operational model.