Tool profile
Dagster: cost, fit and limits
Dagster is a data orchestration platform for building, running and observing pipelines as software-defined data assets, offered as Dagster Cloud plans and described on its site as part of Prefect, with hybrid deployment and a Dagster AI assistant.
What to know first
Dagster's price list starts at $10 a month for Solo, adds Starter at $100 and sends Pro to sales. Usage is metered in credits, where each materialized asset and executed op counts as one, so the monthly bill follows run volume. Solo and Starter carry a 30-day trial. The site names Dagster AI, native dbt and Snowflake orchestration and branch deployments, and states no hosting region.
Dagster at a glance
| Maker | Prefect Technologies, Inc. (copyright line; the page says Dagster is part of Prefect), Not stated on the vendor pages |
|---|---|
| Free plan | Free trial only |
| Entry price | $10 per month (Solo) plus usage |
| API access | No |
| Category | Best AI Data Orchestration Tools in 2026, rank 3 of 12 |
| Website | dagster.io |
Who Dagster is best for
dbt and Snowflake teams
Native dbt and Snowflake orchestration is listed without custom glue code, which shortens setup for analytics engineering groups that already model their warehouse in dbt.
Teams that review data changes
Branch deployments let you validate a pipeline change in a production-like environment before it touches real data, so reviewers can see its effect before they approve a merge.
Organizations with strict compute rules
Hybrid deployment keeps compute inside your own infrastructure while Dagster manages the control plane, which helps teams whose security rules forbid sending job code to a vendor cloud.
Dagster plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| Solo | $10 per month plus usage | One user, one code location and one deployment for personal projects and simple pipelines, with a 30-day free trial. |
| Starter | $100 per month plus usage | Up to 3 users, 5 code locations and 1 deployment with Catalog Search, aimed at small teams running production pipelines. |
| Pro | Contact sales | Custom serverless compute, cost tracking, personalized onboarding, a private Slack channel, uptime SLAs and unlimited code locations and deployments. |
Checked November 2026.
What Dagster does
- Asset-based modeling
- Pipelines are described by the data assets they produce, so the catalog shows what exists and when it was last refreshed, rather than only which job ran.
- Dagster AI
- Uses assets, runs, lineage, freshness, failures and automation history to help teams diagnose issues, which means its answers depend on metadata already recorded in Dagster.
- Branch deployments
- Each code change can be tried in an environment that mirrors production, so reviewers see the effect before a merge reaches real data, and a failed experiment never touches live tables.
- Credit metering
- Solo costs $0.040 per credit and $0.010 per serverless minute, and Starter costs $0.035 per credit, with each asset or op execution counting as one credit.
- Compass data agents
- The site describes Compass as a way to build and ship governed data agents on top of trusted data workflows. The pages opened do not list plan limits or pricing for it separately.
How Dagster handles your data
The Dagster homepage and pricing page do not state whether customer data trains models, how long it is retained, where it is hosted or which certifications apply. Dagster AI is described as running on existing assets, runs, lineage and automation history, which means pipeline metadata feeds the feature. Hybrid deployment keeps compute in your infrastructure, so row-level data need not leave it, but run metadata still reaches the control plane. A security questionnaire should ask about metadata retention and AI processing, since the vendor's policy was not checked for this.
Where Dagster falls short in practice
- Credit-based bills. Each materialized asset and executed op is one credit, so a pipeline with many small assets can cost more than a pipeline moving more data in fewer steps.
- Low caps on small plans. Solo allows one user, one code location and one deployment, and Starter allows three users and five code locations, which fits a single team only.
- No permanent free plan. The pricing page lists a 30-day trial for Solo and Starter instead of a free tier, so evaluation has a clock on it and a pilot that runs past a month needs a paid plan.
Works with
Alternatives to Dagster
Dagster: common questions
How does Dagster count credits?
Each materialized asset and each executed op counts as one credit. Solo is priced at $0.040 per credit and $0.010 per minute of serverless compute, and Starter at $0.035 per credit. A job with 200 assets run daily would use 6,000 credits a month before compute.
Is Dagster separate from Prefect?
The Dagster site carries a Prefect Technologies copyright line and states that Dagster is part of Prefect. The two products have separate sites, pricing and models, so evaluate them separately. Ask the vendor how the combined company plans to support each product.
What can Dagster AI do?
The homepage says Dagster AI runs on existing assets, runs, lineage, freshness, failures and automation history to help teams diagnose problems. We did not run it, so how well it explains failures on your pipelines should be tested in the 30-day trial.
Does Dagster have a free plan?
No permanent one appears on the pricing page. Solo at $10 a month and Starter at $100 a month both include a 30-day free trial. Open source use of the framework is not covered by the pages we opened, so check the vendor documentation.
What does Pro add over Starter?
Pro is sold through contact sales and lists custom serverless compute, cost tracking, personalized onboarding, a private Slack channel, uptime SLAs and unlimited code locations and deployments. Starter caps users at 3, code locations at 5 and deployments at 1.