Loading...
Orchestration Tools
End-to-End Data Pipeline Tool
★ 4.0
Data Orchestrator for ML & Analytics
★ 4.7
pip install bruin-clipip install dagsterpip install bruin-clipip install dagsterPython data engineers use Bruin to define pipelines as a collection of SQL and Python files — SQL assets are automatically chained based on table references, and Python assets handle custom transformations or API calls that SQL cannot express. Bruin's CLI runs pipelines locally against DuckDB and in production against BigQuery or Snowflake.
Dagster's asset-based model lets Python engineers define their ETL outputs as `@asset` functions — Dagster infers the dependency graph automatically. Engineers materialize assets on demand or on schedule, observe run history and lineage in the Dagit UI, and use Dagster's type system to catch schema mismatches between pipeline steps at development time.
Individual Tool Pages