Actively maintained successor to DataX · Apache 2.0

Heterogeneous sources,
one JSON to sync them all

A fast, versatile, open-source ETL tool supporting 30+ RDBMS and NoSQL data sources. Turn read → transform → write into reusable, operable sync jobs with a single JSON config.

Quick Start →GitHub

Install in minutes · No code required

addax --job sync_job.json

Job execution monitor

mysqlreader → clickhousewriter

Running

Read rows

1,284,532

↑ 100%

Written rows

1,284,530

↑ 99.99%

Speed

12.4Krows/s

↑ 8.1%

Covers mainstream data sources, out of the box

Core capabilities

One tool for the whole sync pipeline

Rich connector ecosystem

60+ built-in reader/writer plugins covering MySQL, Oracle, ClickHouse, HDFS, Kafka, HBase, MongoDB and more — ready to use.

View supported sources →

Powerful data transformation

Built-in masking, padding, filtering and type conversion, plus Groovy custom logic for real-world dirty data.

Learn about transforms →

Observable run quality

Strong-typed transport with statistical reports helps you quickly tell data issues from config issues.

View stats report →

Declarative config

One JSON file. That's all it takes.

Declare reader and writer plugins in JSON — no code needed to sync data between heterogeneous sources. One config, dev to prod.

Strong-typed transport · Column-level type checks catch dirty data early
Plugin architecture · Reader/writer plugins combine on demand
Visual reports · Every run produces read/write/timing stats

job.json
{
  "job": {
    "content": [{
      "reader": {
        "name": "mysqlreader",
        "parameter": {
          "username": "root",
          "password": "******",
          "column": ["*"],
          "connection": [{
            "jdbcUrl": ["jdbc:mysql://host:3306/db"],
            "table": ["source_table"]
          }]
        }
      },
      "writer": {
        "name": "clickhousewriter",
        "parameter": {
          "username": "default",
          "password": "******",
          "column": ["*"],
          "connection": [{
            "jdbcUrl": "jdbc:clickhouse://host:8123/db",
            "table": ["target_table"]
          }]
        }
      }
    }]
  }
}