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Addax

> 数据库
开源

一款快速而通用的 ETL 工具,可无缝地将数据传输到 RDBMS 和 NoSQL 中

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工具介绍

一款快速而通用的 ETL 工具,可无缝地将数据传输到 RDBMS 和 NoSQL 中

Addax

A versatile open-source ETL tool

Addax is an extensible ETL (Extract, Transform, Load) tool supporting over 20 SQL/NoSQL data sources, forked from Alibaba's DataX, which has been frozen since 2023 — Addax is its actively maintained successor. It provides a growing ecosystem of plugins and offers easy-to-follow configuration for data integrations.

[简体中文](README_zh.md) --- ## Features - Supports 20+ SQL and NoSQL data sources, and easily extendable for more. - Configurable via simple JSON-based job descriptions. - Actively maintained with improved architecture and added functionality compared to [DataX](https://github.com/alibaba/datax). - Docker images for quick deployment. --- ## Documentation Detailed instructions on installation, configuration, and usage are available: - [Online Documentation](https://addax.wgzhao.com) - [GitHub Docs](https://github.com/wgzhao/addax-docs) - [Plugin Comparison](difference.md) --- ## Project Status **Addax is actively maintained.** The project is in a mature maintenance phase by design: - **Monthly maintenance releases.** A new release ships roughly every month (see [Releases](https://github.com/wgzhao/Addax/releases)), bundling dependency/CVE updates and bug fixes — even when there are no new features to announce. - **Responsive issue triage.** Open issues are typically answered and resolved within days, not months. - **Stable by intent.** Plugin functionality is deliberately kept stable: we fix bugs and update dependencies rather than chasing feature churn. New data-source plugins are added when there is real community demand — if you need one, [open an issue](https://github.com/wgzhao/Addax/issues/new). - **Open to contribution.** PRs are reviewed continuously. See [CONTRIBUTING.md](CONTRIBUTING.md) for how to contribute. For maintainers, the release process is documented in [RELEASING.md](RELEASING.md). --- ## Supported Data Sources Addax supports a wide range of database systems and file sources. Below is a selection of supported platforms: > **See the [full list](support_data_sources.md) of supported data sources**. --- ## ️ Getting Started Addax can be quickly installed and used via Docker, installation scripts, or compiled from source. ### 1. Use docker image Pull the prebuilt Docker image and run a test job: ```shell docker pull quay.io/wgzhao/addax:latest docker run -ti --rm --name addax \ quay.io/wgzhao/addax:latest \ /opt/addax/bin/addax.sh /opt/addax/job/job.json ``` ### 2. Use installation script Install Addax with a single command: ```bash /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/wgzhao/Addax/master/install.sh)" ``` > Installation paths: /usr/local (macOS), /opt/addax/ (Linux). ### 3. Compile and Package from Source - **Java Compiler**: JDK 17 For developers aiming to create custom-builds, compile and package Addax locally: ```shell git clone https://github.com/wgzhao/addax.git addax cd addax export MAVEN_OPTS="-DskipTests -Dmaven.javadoc.skip=true -Dmaven.source.skip=true -Dgpg.skip=true" mvn clean package mvn package -Pdistribution ``` The compiled binary will be in `target/addax-`. ### 4. Run Your First Task Load sample job configuration and test the setup: ```bash bin/addax.sh job/job.json ``` Explore more [example jobs](docs/assets/jobs) --- ## Runtime Requirements - **Java Runtime**: JDK 17 - **Python Version**: Python 2.7+ / 3.7+ (Windows only) --- ## Related Projects - [addax-admin](https://github.com/wgzhao/addax-admin) - A web-based management tool for administering Addax data collection tasks - [addax-docs](https://github.com/wgzhao/addax-docs) - Comprehensive documentation for Addax, including user guides and API references --- ## Developing Addax For AI assistants: project-specific knowledge and conventions are documented in [SKILL.md](./SKILL.md). Please read it before working on this repo. --- ## Code Style Guidelines Follow general Java conventions and patterns: 1. Use IntelliJ IDE with [Airlift's Code Style](https://github.com/airlift/codestyle) 2. Categorize exceptions clearly with AddaxException (e.g., `AddaxException(REQUIRE_VALUE, "missing required parameter")`). 3. Use the Java 8 Stream API cautiously (avoid in performance-sensitive areas). 4. Avoid ternary operators for non-trivial expressions. 5. Include proper Apache License headers in every file. > Refer to our [Programming Guidelines](https://cbea.ms/git-commit/) for commit message formats. --- ## ️ Versioning Scheme This project adheres to the [Semantic Versioning (SemVer)](https://semver.org/) standard with the format `x.y.z`. The meanings of each segment are as follows: - **z(Patch Version)**: - Bug fixes and performance improvements that do not affect compatibility with existing features. - Example: `1.2.3 → 1.2.4` - **y(Minor Version)**: - Introducing new features or module adjustments that could break backward compatibility. - Example: `1.2.3 → 1.3.0` - **x(Major Version)**: - Significant changes or new features that are often incompatible with previous versions. - Example: `1.3.0 → 2.0.0` --- ## Star History --- ## ⚖️ License This software is free to use under the [Apache License 2.0](/LICENSE). --- ## Special Thanks Special thanks to [JetBrains](https://jb.gg/OpenSource) for providing open-source support to this project.

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核心特点

  • •Supports 20+ SQL and NoSQL data sources, and easily extendable for more.
  • •Configurable via simple JSON-based job descriptions.
  • •Actively maintained with improved architecture and added functionality compared to DataX.
  • •Docker images for quick deployment.
  • •Online Documentation
  • •GitHub Docs
  • •Plugin Comparison
  • •Responsive issue triage. Open issues are typically answered and resolved within days, not months.
  • •Open to contribution. PRs are reviewed continuously. See CONTRIBUTING.md for how to contribute.
  • •Java Compiler: JDK 17

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类数据库
定价开源

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