Reliable
Built-in fault tolerance and automatic recovery ensure your workflows complete successfully, even when individual tasks fail. Checkpoint and resume from any point in your pipeline.
Explainable
Full visibility into every step of your workflow execution. Detailed logs, lineage tracking, and clear error messages make debugging and auditing straightforward.
Scalable
Seamlessly scale from local development to production clusters. Distributed execution handles massive workloads without changing your workflow definitions.
Define Your Workflow
Simple YAML configuration lets you define complex data pipelines with dependencies, error handling, and parallel execution.
# workflow.yaml
name: data-pipeline
tasks:
- name: extract
image: python:3.11
script: |
python extract_data.py --source=db
- name: transform
depends_on: [extract]
image: python:3.11
script: |
python transform.py --input=raw --output=clean
- name: load
depends_on: [transform]
image: python:3.11
script: |
python load_data.py --dest=warehouse
Watch It Run
See how Graflow executes your workflow with real-time progress tracking and detailed logging.
Learn More About Graflow
Why Graflow?
Graflow is designed to simplify complex data workflows while providing full transparency and reliability at scale.
- Easy-to-understand YAML configuration
- Built-in monitoring and observability
- Seamless integration with existing tools
- Production-ready from day one