Dagster
Cloud-native data orchestrator for building, scheduling, and monitoring reliable data pipelines.
What is Dagster?
Dagster, built by Dagster Labs, is a modern, cloud-native data orchestrator platform designed for the entire development lifecycle. Unlike legacy workflow engines, it utilizes an asset-based framework that models data assets, tables, and machine learning models rather than just managing task-by-task execution. Often evaluated in side-by-side industry comparisons like Dagster vs Airflow or Prefect, it provides a unified control plane to build, schedule, and monitor reliable AI and data pipelines. The platform features an integrated data catalog, built-in data quality checks, end-to-end lineage tracking, and metadata-driven observability. It also introduces Dagster Compass, an AI-powered data analyst for Slack that handles agent evaluation over data to answer analytics questions instantly while preserving governance.
Best Dagster use cases by task, role, industry, and platform
These use cases show where Dagster fits best, ranked by fit score before popularity or pricing.
Dagster Pricing Plans
Compare Dagster free options, Dagster paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Starts at $10/mo
Perfect for personal projects and building simple pipelines. Includes 7.5k credits/month, 1 User, 1 Code location, 1 Deployment, and a 30-day free trial.
For production pipelines that scale, with role-based access control and catalog search. Includes 30k credits/month, up to 3 Users, 5 Code locations, 1 Deployment, and a 30-day free trial.
For building and scaling large-scale data platforms. Includes unlimited code locations, unlimited deployments, cost tracking, personalized onboarding, a private Slack channel, and uptime SLAs.
Pricing updated:Jun 11, 2026
Dagster AI Features
Dagster Pros and Cons
Pros
- Software engineering best practices allow local testing before production
- Asset-based framework eliminates traditional data silos and task-by-task tedium
- Deep integrations with modern tools like Snowflake, BigQuery, and dbt out of the box
- Comprehensive debugging tools including custom metadata and source observability
- Flexible serverless or hybrid deployments that scale with high-performing teams
Limitations
- Credit-based overage fees apply if you exceed your allotted monthly plan limits
- Advanced platform insights and role-based access control are restricted on the lowest tier
- Column-level lineage and catalog search require upgrading from the entry-level plan