Apache SeaTunnel Joins the Apache Incubator: Overview, Features, and Real‑World Use Cases
SeaTunnel, the China‑originated data‑integration platform built on Spark and Flink, has been accepted into the Apache Incubator, and this article introduces its history, architecture, plugin ecosystem, deployment requirements, and numerous enterprise deployments across batch and streaming big‑data scenarios.
SeaTunnel (formerly Waterdrop) has been officially accepted as an Apache Incubator project with unanimous support, becoming the first Chinese‑originated data‑integration platform in the Apache Foundation.
The project, initiated by LeTV in 2017 and open‑sourced on GitHub, is named after the Chinese word for “water droplet,” a reference to Liu Cixin’s Three‑Body series.
SeaTunnel offers a high‑performance, easy‑to‑use solution for massive data ETL, supporting both real‑time streaming and offline batch processing. It runs on top of Apache Spark and Apache Flink, leveraging their distributed execution engines to achieve high throughput.
Key capabilities include:
Distributed execution via Spark/Flink for scalable data sync.
Reduced integration complexity for Spark/Flink applications.
Pluggable architecture supporting over 100 data sources.
Built‑in management and scheduling for automated task orchestration.
End‑to‑end optimizations for data consistency in specific scenarios.
Extensible plugin and API system for rapid customization.
The plugin ecosystem is divided into Source, Filter, and Output plugins. Example plugins include File, HDFS, Kafka, S3, Socket for sources; a wide range of transformation filters such as Json, Sql, Uuid, etc.; and outputs like Elasticsearch, JDBC, MySQL, ClickHouse, among others. Users can also develop custom plugins.
Deployment requirements are minimal: Java ≥ 8 runtime, and either a Spark cluster (YARN or Standalone) or Flink cluster for distributed execution, though a local mode is also supported for small‑scale testing. SeaTunnel 2.0 runs on both Spark and Flink.
Numerous enterprises have adopted SeaTunnel for real‑time and batch analytics, including Weibo, Sina, Sogou, Qutoutiao, YH Supermarket’s cloud platform, Waterdrop Fund, and Waterdrop Crowdfunding, handling workloads ranging from a few hundred gigabytes to several terabytes per day.
For more information, the official documentation is available at https://interestinglab.github.io/seatunnel-docs/#/, and the community provides issue tracking, pull‑request contributions, and mailing list support.
The author, a long‑time big‑data enthusiast, encourages readers to follow for further updates and to explore the growing ecosystem of SeaTunnel.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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