Ecosystem Integrations

This chapter explains how to integrate TDengine with common third-party tools: data collection and message queues, visualization, BI / analytics, database management tools, and IoT platforms. In most cases, you only need to complete connection or plugin configuration to read, write, or visualize data in TDengine.

For zero-code ingestion from industrial protocols, message queues, or relational databases, or to publish subscription data to MQTT, Kafka, and other downstream systems, see Data Ingest and Delivery. For programming interfaces and connector APIs, see the Developer's Guide. For component operations (such as taosAdapter), see Product Components.

This chapter includes:

• Data Collection: Prometheus, Telegraf, collectd, StatsD, Icinga2, Kafka, Flink, EMQX / HiveMQ, and more.
• Visualization: Grafana, Perspective, and more.
• Analytics: Power BI, Tableau, Superset, Spark, Pandas, and more.
• Database Management: DBeaver, qStudio, JetBrains, and more.
• IoT Platforms: Node-RED, Ignition, and more.