Dagster
Dagster is a data-aware orchestrator for building, running, and monitoring data pipelines and assets.
What Dagster is
Dagster is a data-aware orchestrator for building, running, and monitoring data pipelines and assets. It models assets and their dependencies to show lineage and activity across a data platform. Pipeline capabilities include partitions, incremental runs, declarative workflows, and fault-tolerant orchestration. An integrated catalog brings data discovery, lineage, workflows, and operational metadata together, while code-embedded validation, automated tests, freshness checks, and observability tools support data quality work. Integrations include Airbyte, Anthropic, Apache Airflow, AWS services, and Azure Data Lake Storage. With Dagster+ hybrid deployment, compute can run in your infrastructure while Dagster manages the control plane; the core orchestration framework is open source and available on GitHub. The Solo plan is $10 a month, plus $0.040/credit and $0.010/minute for serverless compute. Starter is $100 a month, plus $0.035/credit and $0.010/minute for serverless compute. A 30-day free trial is listed. Dagster says it is now part of Prefect.
Good
- Models asset dependencies for lineage visibility
- Supports partitions and incremental runs
- Includes validation, automated testing, and freshness checks
- Hybrid deployment keeps compute on customer infrastructure
- Open-source core available on GitHub
Watch out
- Solo is $10 a month plus usage charges
- Starter is $100 a month plus usage charges
- Pro pricing requires contacting sales
Who it suits
Dagster suits teams building and monitoring data pipelines that need asset lineage, quality checks, or hybrid deployment. Its open-source core may also suit those seeking an orchestration framework available on GitHub.
Verdict
Dagster combines pipeline orchestration with asset lineage, catalog, and data-quality capabilities. Review its usage charges and plan limits when choosing a deployment and plan.
Plans and prices
From Dagster's own pricing page, checked 20 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Solo | $10 a month | 1 user · 1 code location · 1 deployment · billed monthly |
| Starter | $100 a month | Up to 3 users · 5 code locations · 1 deployment · billed monthly |
| Pro | Priced on request | Unlimited code locations · Unlimited deployments |
| Solo Plan | $10 a month | 1 User · 1 Code location · 1 Deployment · 30-day free trial · $10 per month; plus $0.040/credit and $0.010/minute for serverless compute |
| Starter Plan | $100 a month | Up to 3 Users · 5 Code locations · 1 Deployment · Catalog Search · 30-day free trial · $100 per month; plus $0.035/credit and $0.010/minute for serverless compute |
| Pro Plan | Priced on request | Custom Serverless compute · Unlimited code locations · Unlimited deployments · Cost Tracking and Insights · Personalized Onboarding Support · Private Slack channel · Uptime SLAs · Custom Security Questionnaires · Contact Sales |
The facts
Each one read from Dagster's own pages, with the date it was checked.
The company
- Company status
- Dagster's website states that Dagster is now part of Prefect.checked 2 Oct 2026
- Headquarters
- San Francisco, California, United Stateschecked 28 Sep 2026
What it does
- Data catalog
- Its integrated catalog centralizes data discovery, lineage, workflows, and operational metadata.checked 2 Oct 2026
- Data quality
- The platform provides code-embedded validation, automated testing, freshness checks, and observability tools.checked 2 Oct 2026
- Encryption
- Dagster says inbound requests to Dagster+ require HTTPS and persistent data in its Postgres database, Redis message queue, and S3 buckets is encrypted at rest.checked 2 Oct 2026
- Hybrid deployment
- Dagster+ hybrid deployment lets customers run compute in their own infrastructure while Dagster manages the control plane.checked 2 Oct 2026
- Integrations
- The official integration directory lists tools including Airbyte, Anthropic, Apache Airflow, AWS services, and Azure Data Lake Storage.checked 2 Oct 2026
- Lineage and visibility
- Dagster models data assets and dependencies to provide visibility across the data platform.checked 2 Oct 2026
- Open source
- Dagster's core orchestration framework is open source and available on GitHub.checked 2 Oct 2026
- Pipeline features
- Dagster supports partitions, incremental runs, declarative workflows, and fault-tolerant orchestration.checked 2 Oct 2026
- Security and data handling
- The security page says customer pipeline code and data stay in the customer's environment and are not stored or accessed by Dagster+ hosted services.checked 2 Oct 2026
- Security testing
- Dagster says formal IT risk assessments and network and Dagster+ penetration tests are performed at least annually.checked 2 Oct 2026
- Support
- The plan comparison lists community and Support Center and Ask AI support, while Pro includes personalized onboarding support and a private Slack channel.checked 2 Oct 2026
- Usage pricing
- The pricing page defines one credit as the sum of asset materializations and ops executed, with each materialization and each executed op counting as one credit.checked 2 Oct 2026
- What it does
- Dagster describes itself as a data-aware orchestrator for building, running, and monitoring data pipelines and assets.checked 2 Oct 2026
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