Dagster

The cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

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dagster.io

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Quick facts
What is it	The cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
Pricing	Paid — from $10/mo
Free tier	No
Platform	Web Application
API	Yes
Best for	orchestrating ETL/ELT pipelines, managing machine learning workflows
Domain registered	2018

Data updated Aug. 1, 2026

What does Dagster do?

Dagster is a comprehensive data orchestration platform designed specifically for managing complex data and AI pipelines. It provides a unified control plane where teams can build, run, and monitor their data workflows, including ETL/ELT processes, data transformations using tools like dbt and Databricks, and full-scale machine learning operations. The platform handles everything from moving data between SaaS apps and data warehouses to orchestrating model training pipelines.

What sets Dagster apart is its integrated observability features. It offers built-in data lineage tracking, automated documentation, and real-time health monitoring. Teams get intelligent alerting directly in Slack and comprehensive debugging tools with impact analysis. The platform maintains a data catalog that helps teams understand dataset ownership and dependencies, ensuring data stays trustworthy throughout the pipeline lifecycle.

Dagster primarily serves data engineering teams, ML engineers, and data platform builders at mid-to-large scale organizations. It's particularly valuable for companies running critical data flows that power analytics, business intelligence, and machine learning applications. Real-world use cases include orchestrating dbt transformations, managing ML experiment pipelines, maintaining data quality across complex ETL processes, and providing governed data access through its Compass feature for business stakeholders.

Workflow Automation

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Key features

What makes it stand out

Unified pipeline orchestration for ETL, transformations, and ML workflows

Integrated data catalog with automatic lineage tracking and documentation

Real-time monitoring with Slack alerts and AI-powered debugging

Enterprise-grade security with SOC 2 Type II compliance and RBAC

Flexible deployment options including cloud and self-hosted environments

Who is Dagster for?

Who benefits most from this tool

orchestrating ETL/ELT pipelines

managing machine learning workflows

monitoring data pipeline health

Pricing

Solo

$10.0/month

1 users
7,500 credits
1 deployments
1 code locations
Asset-based orchestration
Workflow-based orchestration
Local dev workflow
Branch deployments
Event-based automations
Alerts
Partitions
Backfills
Asset quality checks
Asset freshness checks
Integration with dbt tests
Asset metadata in UI
Asset-level lineage
Platform and pipeline metrics
Metrics-based alerts
Billing support
Ask-AI
Dagster community

Starter

$100.0/month

Everything in Solo, plus:

3 users
30,000 credits
1 deployments
5 code locations
Catalog Search
Role based access control per deployment
Viewer, Editor, Admin roles

Pro

Custom

Everything in Starter, plus:

Unlimited deployments
Unlimited code locations
Column-level lineage
Catalog focus-mode for less technical stakeholders
Custom metrics
Cost tracking for BigQuery and Snowflake
Role based access control per project
Viewer, Launcher, Editor, Admin roles
Teams
Audit logs
SAML integration
SAML sync
Personalized onboarding support
Dedicated Slack or Microsoft Teams channel
Premium support

Enterprise

Custom

Unlimited code locations
Unlimited deployments
Cost Tracking and Insights
Personalized Onboarding Support
Private Slack channel
Uptime SLAs
Custom Security Questionnaires

Trust & presence

Domain Domain registered 2018

Gallery

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