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Taier

Taier is a big data development platform for submission, scheduling, operation and maintenance, and indicator information display

From DTStack·Updated May 29, 2026·View on GitHub·

> **Taier** , spelling in chinese is 太阿, is one of the ancient chinese celebrated swords. The project is written primarily in Java, distributed under the Apache License 2.0 license, first published in 2021. It has gained significant community traction with 1,278 stars and 345 forks on GitHub. Key topics include: azkaban, chunjun, cronjob-scheduler, dag, data-schedule.

Latest release: v1.4.0
April 17, 2023View Changelog →
<div align="center"> <a href="https://dtstack.github.io/Taier/" target="_blank" rel="noopener noreferrer"> <img src="website/static/img/logo.svg" width="20%" height="20%" alt="Taier Logo" /> </a> <h1>Taier</h1> <h3>A distributed dispatching system</h3> </div> <p align="center"> <img src="https://img.shields.io/github/release/Dtstack/Taier.svg"> <img src="https://img.shields.io/github/stars/Dtstack/Taier"> <img src="https://img.shields.io/github/forks/Dtstack/Taier"> <a href="https://www.apache.org/licenses/LICENSE-2.0.html"> <img src="https://img.shields.io/badge/license-Apache%202-4EB1BA.svg"> </a> <p align="center"> <a href="https://dtstack.github.io/Taier/">Office Website</a> | <a href="https://dtstack.github.io/Taier/docs/guides/introduction/">Document</a> </p> </p>

中文 | English

Introduction

Taier , spelling in chinese is 太阿, is one of the ancient chinese celebrated swords.

Taier is distributed dispatching system that focus on different tasks submitted and scheduled. It's aimed at reducing the ETL's cost, making the complex dependencies between tasks clearly and reducing the labor cost about submitting, scheduling and O&M.

It's unnecessary to concern about the complex dependencies between tasks and the underlying architecture about the big data platform at Taier, so that you can pay more attention into business.

Taier provide an one-stop big data platform for submitting tasks, scheduling tasks, O&M, presentation about indicators.

The core features for Taier are as follows:

  • Easy to distributed extend
  • Visualization config for DAG
  • With an IDE development platform designed for big-data users
  • Supports to develop your own plugins
  • Multiply task modes including guide mode and script mode
  • Supports to the dependencies between upstream/downstream tasks
  • Supports batch and stream tasks
  • Integrates various different versions of Hadoop
  • Easy to integrate Flink Standalone
  • Completely safe and non-intrusive to the cluster's environment
  • Isolation by tenants and clusters
  • Supports kerberos authentication
  • Different versions for tasks
  • Supports user-defined parameters for task
  • Real-time monitoring about cluster's resources
  • Real-time presented about data indicators
  • Restrict the task's resource

Architecture

architecture

Quick start

In Docker

shell
$ wget https://raw.githubusercontent.com/DTStack/Taier/master/docker-compose.yml $ docker-compose up -d

Online Preview

Develop Tasks

main

Tasks

TasksDocumentation
Work FlowDocumentation
Data SyncDocumentation
Data AcquisitionDocumentation
FlinkDocumentation
ShellDocumentation
PythonDocumentation
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Greenplum SQLDocumentation
MaxCompute SQLDocumentation
GaussDB SQLDocumentation
DataXDocumentation
User-defined TaskDocumentation

Questions

FAQ Reference For questions, bugs and supports please open an issue, we'll reply you in time.

Stay in touch

Contribution

Please make sure to read the Contributing Guide before making a pull request.

Contributor

<a href="https://github.com/Dtstack/Taier/graphs/contributors"> <img src="https://contrib.rocks/image?repo=Dtstack/Taier" /> </a>

License

Taier is under the Apache 2.0 license. See the LICENSE file for
details.

Contributors

Showing top 12 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from DTStack/Taier via the GitHub API.Last fetched: 5/31/2026