Dagster orchestrates data pipelines with a focus on developer experience. Define assets and their dependencies, let Dagster handle scheduling and execution-data engineering that fits software engineering practices. The asset-based model aligns with how data teams think. Observability is built in. Testing and development workflows feel natural. Data teams wanting modern tooling for pipeline orchestration choose Dagster for data engineering that applies software engineering discipline.

Available on: Web

Louis Corneloup Updated May 26, 2026 · how we evaluate Source dagster.io ↗

Ratings Across the Web

4.5 (2 reviews)

Dagster holds an aggregate rating of 4.5 out of 5 from 2 reviews across G2, last checked May 29, 2026.

G2 2 reviews

4.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Data orchestration
Assets
Lineage
Observability
ML pipelines
Open source

Pricing Plans

30-day Free Trial

Pricing checked Oct 3, 2026

Dagster plans and prices, checked October 2026
Plan	Price	Details
Open Source	Custom	Usage-based pricing Full orchestration All features Community support
Solo	$10/month	Cloud 7,500 free credits $0.04/extra credit 1 user
Starter Popular	Custom	Teams 30,000 free credits $0.03/extra credit Multiple users
Pro	Custom	Enterprise Custom credits SLA Dedicated support

Calculate your cost View full pricing

Is Dagster worth the price?

Good value

Dagster's pricing model is fair and generous, especially with its robust Open Source offering and significant free credits in the Solo and Starter tiers.

The Solo tier at $10/month with 7,500 free credits is very accessible for individuals, while the Starter tier's 30,000 free credits make it attractive for small teams. This structure is best for developers and data teams looking for flexible, usage-based orchestration.

Hidden Costs & Gotchas

Overage fees

$0.04/credit for Solo, $0.03/credit for Starter.

Serverless compute costs

$0.033/min, separate from credits.

Full Dagster pricing: every plan, hidden costs and alternatives

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Best Dagster Alternatives

Top alternatives based on features, pricing, and user needs.

Apache Airflow Paid

Workflow orchestration for data engineering pipelines

4.4

Prefect Freemium

Modern workflow orchestration platform

4.5

Kubeflow Free

The open-source foundation for building and deploying AI platforms on Kubernetes.

4.5

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Dagster vs Apache Airflow Head-to-head: features, pricing, who wins Dagster vs Prefect Head-to-head: features, pricing, who wins Dagster vs Kubeflow Head-to-head: features, pricing, who wins

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Dagster FAQ

How does Dagster support machine learning pipelines?

Dagster orchestrates data pipelines specifically with a focus on developer experience, which is crucial for managing the complexities of machine learning workflows. It allows users to define data assets and their dependencies, enabling a structured approach to ML pipeline development and execution.

Which teams benefit most from using Dagster?

Data teams that prioritize modern tooling and want to apply software engineering discipline to their data engineering practices will find Dagster most beneficial. Its asset-based model and built-in observability are designed to align with how these teams think and operate.

How does Dagster compare to Apache Airflow?

Dagster offers a more modern approach to data orchestration compared to Apache Airflow, emphasizing an asset-centric model and developer experience. While Airflow is well-established, Dagster is newer and has a smaller ecosystem, though it provides a strong type system and good documentation.

What kind of trade-offs should users consider when adopting Dagster?

Users should be aware that Dagster has a learning curve and is newer than some established alternatives, leading to a smaller ecosystem. Additionally, running Dagster in the cloud can be expensive, and the platform itself can be resource-intensive.

How is Dagster priced?

Dagster is offered as a paid product. It does not include a permanently free tier for its services.

Can Dagster integrate with existing development workflows?

Yes, Dagster is designed to make testing and development workflows feel natural for data engineers. It aims to provide data engineering that fits seamlessly into existing software engineering practices.

Source: dagster.io

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