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datax

datax

FlinkX, renamed to chunjun, is an open-source big data integration tool based on Flink, designed for efficient data synchronization and processing.

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Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Jun 11, 2026
OverviewTop featuresHow to usePros & consWho usesUse casesPricingAlternative toolsUser reviews0

Overview

What is datax?

FlinkX (now chunjun) is a big data integration tool developed by DTStack, built on Apache Flink. It enables high-performance data synchronization and ETL processes, supporting various data sources and targets. The tool is part of DTStack's big data family, with a focus on open-source contributions and enterprise-grade solutions.

What is datax used for?

Data Integration

Tags

Data IntegrationBig DataflinkOpen SourceChinese
datax cover

Top Features

  • Flink-based data integration
  • Support for multiple data sources
  • High-performance synchronization
  • Open-source and customizable
  • Part of DTStack's big data tool family

How to use datax?

To use chunjun, download the source code from GitHub, set up a Flink environment, configure data sources and targets, and run the integration jobs. It supports self-hosted deployments and can be customized for specific data workflows.

Alternative Tools

No alternative tools found

Pros & Cons

Pros

  • Open-source and free
  • High performance with Flink
  • Flexible and customizable
  • Strong community support from DTStack

Cons

  • Requires technical expertise to set up
  • Limited documentation in English
  • Primarily focused on Chinese users

Use Cases

  • Data synchronization between databases
  • ETL processes for big data pipelines
  • Enterprise data integration projects

datax Pricing

Free Plan
No detailed pricing information available

User Reviews

3.0
out of 5
3.0

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