Data orchestration platform for ML pipelines
Visit WebsiteWhat is Dagster?
Dagster is a workflow automation tool. 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. Dagster is paid-only, with most plans including a trial period. Buyers most often compare Dagster against Prefect, Kedro, ZenML.
TL;DR - Dagster
- Modern data pipeline tool
- Declarative YAML configurations
- Built-in data quality checks
Pros & Cons
Pros
- Modern data orchestration
- Good DX
- Asset-centric
- Type system
- Good documentation
Cons
- Learning curve
- Newer than Airflow
- Cloud expensive
- Ecosystem smaller
- Resource intensive
Key Features
Pricing Plans
30-day Free TrialOpen Source
Usage-based pricing
- Full orchestration
- All features
- Community support
Solo
$10/month
Cloud
- 7,500 free credits
- $0.04/extra credit
- 1 user
Starter
Teams
- 30,000 free credits
- $0.03/extra credit
- Multiple users
Pro
Enterprise
- Custom credits
- SLA
- Dedicated support
About Dagster
LCLouis CorneloupReviews
Be the first to review Dagster
Your take helps the next buyer. Verified LinkedIn reviewers get a badge.
Write a reviewBest Dagster Alternatives
Top alternatives based on features, pricing, and user needs.
Explore More
Dagster FAQ
Is Dagster free?
What is Dagster?
Dagster vs Airflow?
What are Dagster assets?
Source: dagster.io