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Dagster

San Francisco, California, United States

What it is

Dagster is a data-aware orchestrator for building, running, and monitoring pipelines and data assets. It models assets and dependencies so teams can see lineage across a data platform. Workflows support partitions, incremental runs, declarative definitions, event triggers, automatic retries, and fault-tolerant orchestration. An integrated catalog brings together discovery, lineage, workflows, and operational metadata. Validation in code, automated testing, freshness checks, and observability tools support data quality. Integrations include Airbyte, Anthropic, Apache Airflow, AWS services, and Azure Data Lake Storage. Dagster+ hybrid deployment keeps compute in your infrastructure while Dagster manages the control plane, and the core framework is open source. Solo costs $10 a month; Starter costs $100 a month, with additional credit and serverless-minute charges. A 30-day trial is listed.

For and against

For

  • Asset lineage and dependency visibility
  • Partitions and incremental runs
  • Integrated catalog and observability
  • Open-source core framework
  • Hybrid deployment model

Against

  • No free plan listed
  • Usage adds credit charges
  • Serverless compute billed by minute
  • No visual workflow builder

The verdict

Dagster offers orchestration, cataloging, and quality tooling around data assets. Review usage-based charges and plan limits before selecting a tier.

Who it suits

Dagster suits teams building and operating data pipelines that need asset lineage, quality checks, and execution visibility. Hybrid deployment fits organizations keeping compute in their own infrastructure.

Plans and prices

Solo

$10a month

1 user · 1 code location · 1 deployment

Starter

$100a month

Up to 3 users · 5 code locations · 1 deployment

Pro

Priced on request

Unlimited code locations · Unlimited deployments

Solo Plan

$10a month

1 User · 1 Code location · 1 Deployment · 30-day free trial

Starter Plan

$100a month

Up to 3 Users · 5 Code locations · 1 Deployment · Catalog Search

Pro Plan

Priced on request

Custom Serverless compute · Unlimited code locations · Unlimited deployments · Cost Tracking and Insights

Every plan, in full

On the record

Company status
Dagster's website states that Dagster is now part of Prefect.dagster.io · read 2 Oct 2026
Data catalog
Its integrated catalog centralizes data discovery, lineage, workflows, and operational metadata.dagster.io · read 2 Oct 2026
Data quality
The platform provides code-embedded validation, automated testing, freshness checks, and observability tools.dagster.io · read 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.dagster.io · read 2 Oct 2026
Hybrid deployment
Dagster+ hybrid deployment lets customers run compute in their own infrastructure while Dagster manages the control plane.dagster.io · read 2 Oct 2026
Integrations
The official integration directory lists tools including Airbyte, Anthropic, Apache Airflow, AWS services, and Azure Data Lake Storage.dagster.io · read 2 Oct 2026
Lineage and visibility
Dagster models data assets and dependencies to provide visibility across the data platform.dagster.io · read 2 Oct 2026
Open source
Dagster's core orchestration framework is open source and available on GitHub.dagster.io · read 2 Oct 2026
Pipeline features
Dagster supports partitions, incremental runs, declarative workflows, and fault-tolerant orchestration.dagster.io · read 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.dagster.io · read 2 Oct 2026
Security testing
Dagster says formal IT risk assessments and network and Dagster+ penetration tests are performed at least annually.dagster.io · read 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.dagster.io · read 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.dagster.io · read 2 Oct 2026
What it does
Dagster describes itself as a data-aware orchestrator for building, running, and monitoring data pipelines and assets.dagster.io · read 2 Oct 2026

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