Orchestrate data pipelines with Dagster
Modern orchestration platform with built-in observability, testing, and lineage tracking. Move beyond task-based workflows to asset-centric data pipelines.
Traditional orchestrators like Airflow focus on task execution, leaving you to manually track what data assets exist and how they depend on each other. Dagster treats data assets as first-class citizens, giving you automatic lineage, impact analysis, and observability out of the box.
See how we deployed self-hosted Dagster to run Replo's dbt jobs and monitor data freshness.
Everything you need
Production-ready Dagster deployment
We implement Dagster with software-defined assets, tight dbt integration, and proper testing patterns. Your data pipelines become observable, testable, and maintainable from day one.
- Software-Defined Assets
- Data assets defined in code with dependencies, metadata, and quality checks. Automatic lineage tracking shows impact of changes across your entire pipeline.
- Native dbt Integration
- First-class dbt support with automatic asset creation from your manifest. Dagster understands your dbt models, tests, and dependencies natively.
- Built-in Observability
- Asset health monitoring, runtime statistics, and lineage visualization included. See which assets are fresh, which are failing, and why.
- Local Development
- Full local testing without deploying to production. Test pipeline changes, debug issues, and iterate quickly without infrastructure overhead.
- Flexible Scheduling
- Cron schedules, sensors for event-driven triggers, and backfills for historical data processing. Run assets on your terms, not rigid DAG schedules.
- Partitioned Assets
- Process data by time windows, dimensions, or custom partitions. Backfill specific partitions without reprocessing everything.
Ready to modernize your orchestration?
Let's implement Dagster with software-defined assets, dbt integration, and observability that makes debugging pipelines faster and easier.