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# 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.

![](/img/eco-overview-n-en.png)

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

- Computing Engine
    - Spark [Spark](./Spark-IoTDB.md)
- SQL Development
    - DBeaver [DBeaver](./DBeaver.md)
    - DataGrip  [DataGrip  ](./DataGrip.md)
- Programming Framework
    - Spring Boot Starter [Spring Boot Starter](./Spring-Boot-Starter.md)
    - Mybatis Generator [Mybatis Generator](./Mybatis-Generator.md)
    - MyBatisPlus Generator [MyBatisPlus Generator](./MyBatisPlus-Generator.md)