Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:

• Through data collection, it enables second-level device connectivity.
• Via data integration, it constructs cross-cloud pipelines.
• Leveraging programming frameworks, it accelerates business logic development.
• With computing engines, it accomplishes distributed processing.
• Through visualization and SQL development, it implements analytical strategies.
• Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

• Data Acquisition
  • Telegraf Telegraf Plugin
• Data Integration
  • NiFi Apache NiFi
  • Kafka Kafka
• Computing Engine
  • Flink Flink
  • Spark Spark
• Visual Analytics
  • Zeppelin Zeppelin
  • Grafana Grafana
  • Grafana Plugin Grafana Plugin
  • DataEase DataEase
• SQL Development
  • DBeaver DBeaver
• IoT Platform
  • Ignition Ignition
  • Thingsboard Thingsboard