# WeiYe-Jing/datax-web

DataX集成可视化页面，选择数据源即可一键生成数据同步任务，支持RDBMS、Hive、HBase、ClickHouse、MongoDB等数据源，批量创建RDBMS数据同步任务，集成开源调度系统，支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。

Repository: https://github.com/WeiYe-Jing/datax-web
Canonical: https://ross.abutalabs.com/products/datax-web
Homepage: https://segmentfault.com/u/weiye_jing/articles
Language: Java
License: MIT
License Family: permissive
Last push: 2024-06-02T10:35:32+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2480, "days_push": 822, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6018, forks 2248 (observed 2026-08-28T04:09:34.312608+00:00)

## What it is
DataX-Web is a distributed data synchronization tool built on top of Alibaba's DataX, providing a web UI to visually configure and manage data sync jobs. It supports RDBMS, Hive, HBase, ClickHouse, and MongoDB sources, with batch task creation, incremental syncing, scheduling via xxl-job, and executor cluster monitoring.

## Use cases
- build datax json jobs from a web ui
- sync data between mysql and hive
- batch create rdbms data sync tasks
- schedule incremental data synchronization jobs
- monitor datax job logs and kill running processes
- migrate data to clickhouse or mongodb
- manage distributed etl executor clusters

## When to choose
- you use DataX but want a GUI instead of hand-writing JSON configs
- you need scheduled or incremental batch data sync across heterogeneous databases
- you want distributed executor deployment with retry, alerting, and monitoring

## When to avoid
- you need real-time streaming CDC rather than batch synchronization
- your stack is not Java/Python-based or you cannot run MySQL 5.7 as the metadata store
- you need a cloud-managed ETL service rather than self-hosted infrastructure

## Facets
- artifact type: application
- maturity: stable
- function: etl, scheduling, web-framework, monitoring, logging, workflow-automation
- domain: databases, big-data, self-hosted, developer-tools
- platform: windows, jvm, self-hosted
- tags: datax, data-sync, xxl-job, etl-orchestration, batch-data-transfer, mysql, hive, hbase, clickhouse, mongodb, data-engineering, linux, macos, docker, web-server

## Member repositories
- WeiYe-Jing/datax-web (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.312608+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 2026-08-29T17:49:45.183861+00:00, confidence not recorded.
  - readme: https://github.com/WeiYe-Jing/datax-web (fetched 2026-08-28T04:09:34.312608+00:00, sha b0ca89676cae)
- Data as of 2026-08-30T08:39:29.467469+00:00.