# wgzhao/Addax

A fast and versatile ETL tool that can transfer data between RDBMS and NoSQL seamlessly

Repository: https://github.com/wgzhao/Addax
Canonical: https://ross.abutalabs.com/products/addax
Homepage: https://addax.wgzhao.com
Language: Java
License: Apache-2.0
License Family: permissive
Topics: hadoop, hive, database, clickhouse, influxdb, kudu, mysql, sqlserver, trino, excel, impala, oracle, postgresql, etl, hdfs
Last push: 2026-08-24T00:33:43+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 95, longevity 100
- inputs: {"age_days": 2604, "days_push": 10, "days_rel": 37, "gap_med": 20.5, "n_releases_24m": 25}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1425, forks 342 (observed 2026-08-28T04:04:41.554739+00:00)

## What it is
Addax is a fast, extensible ETL tool for synchronizing data between heterogeneous SQL and NoSQL data sources, forked and evolved from Alibaba's DataX. Jobs are declared in a single JSON file pairing reader and writer plugins, with 70+ built-in connectors covering databases, data lakes, message queues, and file formats.

## Use cases
- sync data from mysql to clickhouse
- migrate postgresql tables to hdfs
- load excel files into mongodb
- copy data between rdbms and nosql databases
- batch transfer data from oracle to elasticsearch
- schedule periodic database-to-database data synchronization
- ingest kafka streams into redis

## When to choose
- you need code-free, JSON-configured batch data transfer between many different data sources
- you want a maintained alternative to Alibaba DataX with more plugins and better architecture
- you need strong typing, dirty-data handling, and per-run statistics for data sync jobs

## When to avoid
- you need real-time streaming CDC or continuous replication rather than batch jobs
- you prefer writing transformation pipelines in code (e.g., Spark, Airflow-based DAGs)
- your sources and targets are all within one database engine with native import/export tools

## Facets
- artifact type: application
- maturity: active
- function: etl, cli, data-science, developer-tools
- domain: databases, big-data, developer-tools
- platform: windows, jvm, cli, self-hosted
- tags: datax-fork, data-sync, data-integration, reader-writer-plugins, json-configuration, heterogeneous-data-sources, data-engineering, linux, macos, docker

## Member repositories
- wgzhao/Addax (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.554739+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:32.607298+00:00, confidence not recorded.
  - readme: https://github.com/wgzhao/Addax (fetched 2026-08-28T04:04:41.554739+00:00, sha cae2ac07f4d1)
  - homepage: https://addax.wgzhao.com (fetched 2026-08-29T11:49:25.781255+00:00, sha 08980f4a51d2)
- Data as of 2026-08-30T08:39:29.467469+00:00.