Tool Relations

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Apache Kafka

Integrates with

UMH Classic architecture uses Apache Kafka as the high-throughput message broker for the Unified Namespace

EMQX provides native Kafka integration through its Rule Engine, enabling seamless streaming of MQTT messages to Kafka topics for real-time processing and analytics.

NiFi provides native Kafka processors for producing and consuming messages from Kafka topics, enabling real-time data streaming pipelines.

ClickHouse has native Kafka integration for real-time data streaming

TimescaleDB integrates with Apache Kafka for high-throughput data ingestion. The Kafka Connect TimescaleDB sink connector streams events directly into hypertables, enabling real-time analytics on streaming data.

Telegraf writes collected metrics to Apache Kafka for stream processing and distribution

Apache Flink provides a native, high-performance connector for Apache Kafka, enabling seamless integration between the stream processing engine and the distributed messaging platform.

StreamPipes can consume Kafka streams for industrial IoT analytics and processing.

Node-RED can produce and consume Kafka messages for IoT data flows.

Kafka metrics and streaming data can be visualized in Grafana dashboards for real-time monitoring.

Kafka can stream high-throughput IoT sensor data into InfluxDB for time-series storage and analysis.

Explore integrations, comparisons, and dependencies between manufacturing tools.