83
Stack Score
Editorial pick✓ Verified working
Dagster
Asset-oriented data orchestrator with full lineage
Try Dagster✓ Free trial available
Best for
Best for solo-agency or in-house data engineers who want declarative, lineage-aware orchestration for dbt models and ML pipelines.
At a glance
- Pricing
- freemiumfrom $10/mo
- Setup time
- Half a day
- Learning curve
- steep
- Last verified
- 5/25/2026
What we love
- ✓Asset model is genuinely better for modern data stacks
- ✓Strong dbt integration
- ✓Lineage and observability are first-class
Where it falls short
- −Steep ramp for teams used to Airflow's job model
- −Cloud pricing scales with credits — easy to misjudge
- −Asset re-materialization patterns require careful design
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Solo
$0
forever
- ✓1 user
- ✓Open-source core
Starter
$10
per user/month
- ✓Cloud runtime
- ✓Email support
Pro
Custom
annual contract
- ✓SSO
- ✓RBAC
- ✓Premium support
Why we picked it
Best fit when your data team thinks in terms of tables and models, not just jobs. The asset model genuinely changes how you reason about pipelines. — MoreAI.tools editor
Overview
Dagster is a data orchestrator built around the 'asset' abstraction — declarative, software-defined data products with full lineage and observability.
Key features
- ●Software-defined assets with lineage
- ●Declarative scheduling and partitioning
- ●Dagster Cloud serverless runtime
- ●Built-in dbt and Snowflake integrations
- ●Type-checked op signatures
Best use cases
Connect siloed apps
Sync customer, billing, or task data across the SaaS stack on a recurring schedule.
Document or data extraction
Pull structured fields out of PDFs, emails, or web pages and route them to a system of record.
Integrations
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