Lightweight ETL Framework for Java
Why Use Data Pipeline
Build ETL in Java
Code your extract, transform, load pipelines using a high performance language that fits your team's skills, has a mature toolset, and is easy to understand and maintain.
Embedded or Standalone
Integrate pipelines into your web, mobile, desktop, and batch applications or run them as separate, standalone jobs.
Run Pipelines Locally
Develop and test pipelines locally on your desktop using your existing development and debugging tools.
Track changes in Git or other source control systems, code review ETL logic with your team, and plug pipeline development into your CI/CD process.
Stream Real-Time or Batch
Set your pipelines to run on a schedule, when data is available, when an event or manual trigger occurs, or you can run them continuously to gain insight in real-time.
Enhance the engine to fit your unique needs. Plug in your own logic or modify existing behavior to your specific requirements.
Get Meaningful Errors
When exceptions occur, get the exact line of code, the data that was being processed, and a readable description of all the transformations in the pipeline.
Processing data one piece at a time as it moves through the pipeline can be more than 100x faster than first storing it to disk to query or process later.
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