Data and databases · Independent · 20 Oct 2026

apache/seatunnel

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

← Data and databases
Apache SeaTunnel. Multimodal high-performance data integration tool.

In simple English

This tool copies data from one place to another. It handles large files, live streams and whole databases at once. It connects to more than one hundred and sixty different systems. You can run it on its own engine or use it with other big data tools. It is free to use under an open-source licence.

What it is

Apache SeaTunnel is a distributed data integration platform written in Java (a programming language used for large enterprise software). It synchronizes structured and unstructured information across different storage systems in real time or in batches.

What it is good for

Data engineers and solo builders who need to move huge datasets between different databases without losing records or slowing down their servers.

Stars9.7k
LicenceApache-2.0
Latestv3.0.0 (2026-09-29)checked 20 Oct 2026
Last code change2026-10-19
Written inJava
Setup effort
4 / 5
Payoff
4 / 5
Good
  • Connects to more than 160 different data sources and destinations.
  • Supports real-time streaming and scheduled batch syncs.
  • Maintains data consistency across multiple database tables.
Watch for
  • Complex setup process that requires a strong background in data engineering.
  • Needs significant memory and server resources to run distributed jobs.
  • Heavy dependency on the Java ecosystem and configuration files.
Replaces

custom data sync scripts and manual database exports

Works well with

Apache Kafka for stream processing

Similar repositories
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    Apache Spark is a large-scale data processing engine that SeaTunnel supports alongside its own Zeta engine.

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How to get it

Download the release archive from the official website and follow the local deployment guide.

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Data Enrichment & Collection › Data Connectors.

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