All Tools
D
DataFreemiumOpen Source
DAGSTER
Orchestrate and observe data pipelines with software-engineering discipline
Apache-2.0
ABOUT
Data and AI teams need more than cron jobs and brittle scripts to run reliable pipelines. Dagster provides a structured orchestration layer for defining data assets, dependencies, schedules, and operational checks, so teams can build maintainable pipelines, understand lineage, and monitor data workflows without stitching together their own orchestration and observability stack.
INSTALL
pip install dagster dagster-webserver dagster-dg-cliINTEGRATION GUIDE
1. Orchestrate ETL and ELT pipelines that move data into warehouses, lakes, and feature stores
2. Schedule and monitor data preparation workflows that feed RAG, analytics, or machine learning systems
3. Manage lineage and health checks for production data assets across teams and environments
4. Coordinate batch inference, evaluation, or retraining pipelines for AI applications
5. Build local-to-production data workflows with testing, retries, and operational visibility
TAGS
orchestrationdata-pipelinesworkflowschedulinglineagedata-assetsobservabilitypython