Dagster
dagster.io
What it is
Dagster is a data-aware orchestrator for building, running and monitoring data pipelines and assets. It models assets and dependencies to show lineage across a data platform, while supporting partitions, incremental runs, declarative workflows and fault-tolerant orchestration. An integrated catalog combines data discovery, lineage, workflows and operational metadata. Quality features include code-embedded validation, automated testing, freshness checks and observability tools. The integration directory lists Airbyte, Anthropic, Apache Airflow, AWS services and Azure Data Lake Storage. Dagster+ hybrid deployment keeps compute in a customer’s infrastructure while Dagster manages the control plane. The core framework is open source on GitHub. Platforms listed are API, Linux, self-hosted and web; deployment is hybrid. A 30-day trial is listed. Solo costs $10 a month plus usage charges, and Starter costs $100 a month plus usage charges. Dagster’s website says it is now part of Prefect.
Spec sheet
- What it does
- Dagster describes itself as a data-aware orchestrator for building, running, and monitoring data pipelines and assets.Read 2 Oct 2026 · dagster.io
- Integrations
- The official integration directory lists tools including Airbyte, Anthropic, Apache Airflow, AWS services, and Azure Data Lake Storage.Read 2 Oct 2026 · dagster.io
- Support
- The plan comparison lists community and Support Center and Ask AI support, while Pro includes personalized onboarding support and a private Slack channel.Read 2 Oct 2026 · dagster.io
- Headquarters
- San Francisco, California, United StatesRead 28 Sep 2026 · dagster.io
- Company status
- Dagster's website states that Dagster is now part of Prefect.Read 2 Oct 2026 · dagster.io
- Data catalog
- Its integrated catalog centralizes data discovery, lineage, workflows, and operational metadata.Read 2 Oct 2026 · dagster.io
- Data quality
- The platform provides code-embedded validation, automated testing, freshness checks, and observability tools.Read 2 Oct 2026 · dagster.io
- 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.Read 2 Oct 2026 · dagster.io
- Hybrid deployment
- Dagster+ hybrid deployment lets customers run compute in their own infrastructure while Dagster manages the control plane.Read 2 Oct 2026 · dagster.io
- Lineage and visibility
- Dagster models data assets and dependencies to provide visibility across the data platform.Read 2 Oct 2026 · dagster.io
- Open source
- Dagster's core orchestration framework is open source and available on GitHub.Read 2 Oct 2026 · dagster.io
- Pipeline features
- Dagster supports partitions, incremental runs, declarative workflows, and fault-tolerant orchestration.Read 2 Oct 2026 · dagster.io
- 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.Read 2 Oct 2026 · dagster.io
- Security testing
- Dagster says formal IT risk assessments and network and Dagster+ penetration tests are performed at least annually.Read 2 Oct 2026 · dagster.io
- 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.Read 2 Oct 2026 · dagster.io
Plans and prices
Strong points and limits
Strong points
- Models assets and dependencies for lineage
- Supports partitions and incremental runs
- Integrated catalog centralizes operational metadata
- Open-source core available on GitHub
- Hybrid deployment keeps compute customer-managed
Limits
- No free plan is listed
- Usage charges apply beyond monthly plan fees
- Pro pricing requires contacting sales
Who it suits
Dagster suits teams building and operating data pipelines that need lineage, quality checks and execution visibility. Hybrid deployment fits organizations keeping compute in their own infrastructure.
Verdict
Dagster combines orchestration, cataloging, data quality and observability in an open-source core with paid Dagster+ plans. Its pricing mixes monthly fees with credit and serverless-compute charges, so expected workload matters.
Where Specifiction places it
- Workflow Orchestration Software#13 of 388.3
- Workload Automation Software#10 of 248.3
- DataOps Platforms#8 of 168.3