Pricing Overview
Dagster follows an open-source + paid cloud pricing model. The core Dagster orchestrator is free and open source under the Apache 2.0 license, meaning any team can self-host it at no licensing cost. Dagster Cloud is the paid managed offering from Dagster Labs that provides a hosted control plane, deployment automation, and hybrid infrastructure options.
This dual approach gives teams flexibility: start with the free self-hosted version to learn the asset-centric orchestration model, then move to Dagster Cloud when the operational burden of managing infrastructure outweighs the cost of the managed service. Dagster's core features -- software-defined assets, lineage and observability, type-checking and configuration, and Python-native development -- are available in both the open-source and cloud versions.
Plan Comparison
| Plan | Price | Billing | Key Features |
|---|---|---|---|
| Dagster (self-hosted) | Free / Open Source | No license cost | Full orchestrator: assets, lineage, schedules, sensors, web UI, all integrations |
| Dagster Cloud Solo | ~$10/month | Monthly | Single developer, hosted control plane, basic monitoring |
| Dagster Cloud (higher tiers) | ~$100+/month | Monthly, usage-based | Multi-user, SSO, RBAC, hybrid deployments, SCIM provisioning, enterprise support |
Dagster Cloud includes a 30-day free trial so teams can evaluate the managed experience before committing.
Hidden Costs and Considerations
Whether you choose self-hosted or cloud, there are costs beyond the headline price:
- Self-hosted infrastructure: Running Dagster yourself requires Kubernetes or a dedicated server, a PostgreSQL database for the metadata store, and compute resources for the daemon and workers. A minimal Kubernetes deployment costs $150-$400/month in cloud infrastructure.
- Self-hosted operational overhead: Dagster upgrades, scaling decisions, and monitoring setup require engineering time. Expect to invest at least 10-15% of one engineer's time on Dagster operations for a mid-size deployment.
- Cloud compute costs: Dagster Cloud's hosted control plane manages orchestration, but your code still runs on your own infrastructure (hybrid model). You still pay for the compute where your assets materialize.
- Integration compute: Running dbt, Spark, or other tools orchestrated by Dagster incurs their own compute costs on your data warehouse or processing cluster.
- Scaling with team size: Higher Dagster Cloud tiers charge based on usage and team features. SSO, RBAC, and multi-tenant deployments require the higher-priced tiers.
- Learning curve investment: Dagster's asset-centric model differs from traditional task-based orchestration (Airflow). Teams transitioning from Airflow should budget time for the conceptual shift -- asset-based thinking, type-checked configurations, and the declarative programming model all require ramp-up.
- Plugin and integration ecosystem: While Dagster integrates natively with Snowflake, BigQuery, dbt, Databricks, Fivetran, and Spark, some niche connectors may require custom development effort.
Cost Estimates by Team Size
Solo developer: The Dagster Cloud Solo plan at ~$10/month is the most economical entry point for a single developer who wants managed infrastructure. Self-hosting on a small VM costs roughly the same or more when you factor in maintenance time.
Small team (5 engineers): A Dagster Cloud team plan at ~$100+/month covers multi-user access with collaboration features. Self-hosting equivalent would cost $150-$400/month in infrastructure plus engineering time for operations.
Mid-size to enterprise (25+ engineers): Larger teams benefit from Dagster Cloud's SSO, RBAC, audit logs, and hybrid deployment options. Pricing scales with usage and feature requirements. Self-hosting at this scale requires dedicated platform engineering resources.
How Dagster Pricing Compares
Dagster's pricing model is comparable to Apache Airflow's open-source approach but with a more polished managed offering. Airflow is entirely free (Apache 2.0) but has no first-party managed cloud service from the Apache project -- teams rely on third-party options like Astronomer (~$0.42/hr) or AWS MWAA. Dagster Cloud provides a first-party managed experience starting at just ~$10/month, which is a lower entry point than most managed Airflow services.
Compared to Fivetran (MAR-based pricing with a free 500,000-row tier), Dagster serves a different purpose: Dagster orchestrates workflows and assets, while Fivetran handles data ingestion. Teams often use both together.
We recommend starting with self-hosted Dagster for evaluation and small projects, then moving to Dagster Cloud Solo (~$10/month) once you want to eliminate operational overhead. For teams with 5+ engineers actively building data pipelines, the higher Dagster Cloud tiers at ~$100+/month provide meaningful value through collaboration features, access controls, and reduced platform maintenance.
One important consideration when budgeting for Dagster is the ecosystem cost. Dagster orchestrates work across your data stack -- dbt transformations, Snowflake warehouse queries, Fivetran syncs, Spark jobs -- and each of those tools has its own pricing. Dagster's orchestration fee is typically a small fraction of the total data platform cost. The value Dagster provides is visibility and control over these expensive downstream resources, which can actually reduce your overall data platform spending through better resource utilization and faster failure detection.
Dagster Cloud also includes a 30-day free trial across all tiers, giving teams enough time to migrate a few production pipelines and evaluate the managed experience with real workloads before making a financial commitment. We recommend using this trial period to benchmark the operational time savings against the subscription cost.