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Data orchestration

Dagster

Cloud-native data orchestrator for building, scheduling, and monitoring reliable AI & data pipelines.

Source rating 5.0 (80) 162k views 162k/mo traffic 0 saves Paid
Data orchestration Data pipeline AI pipelines
More categories (13)
Machine Learning Pipelines Data catalog Data lineage Data observability Data Quality ETL/ELT Cloud-native Declarative Programming Data testing Asset-based Framework Data Modernization Data Products Cost Insights
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From $10 per month

Verdict

A quick read before you dig into the full page.

Best if
You are data Engineers and need: ETL/ELT Pipelines
Skip if
You need a free plan with no credit card
Pick this when
Paid · From $10 per month

Overview

Dagster is a cloud-native orchestrator designed for the entire development lifecycle, offering integrated lineage and observability, a declarative programming model, and best-in-class testability. It serves as a modern data orchestrator platform that helps teams build, schedule, and monitor reliable data pipelines quickly and flexibly. Dagster acts as a unified control plane for building, scaling, and observing AI & data pipelines with confidence. It enables users to model various data assets like tables, files, and ML models, providing a built-in catalog, lineage, and cost insights from day one. The platform automatically tracks, documents, and audits every dataset to ensure data integrity, compliance, and transparency throughout its lifecycle. Dagster integrates with any stack, from S3 to Snowflake to PowerBI, and is built to provide an excellent developer experience while offering data leaders the transparency, control, and insights they need.

Dagster screenshot

Best for

Short scenarios where Dagster tends to shine.

  • ETL/ELT Pipelines

    Best for Data Engineers

  • AI & Machine Learning Workflows

    Best for Data Leaders

  • Data Modernization

    Best for Machine Learning Engineers

  • Building Data Products

    Best for Data Teams

  • Building Trustworthy AI Analytics

    Best for Finance Industry

How it works

To use Dagster, you can get started with a free 30-day trial or book a demo. The platform allows you to develop and test pipelines, monitor data quality, track complete data lineage, and leverage metadata and source observability. It supports testing code in any development stage locally, enabling automatic deployment to staging environments and confident shipping of data and AI products faster.

Example outputs 1

Sample generations and before/after results for Dagster.

Dagster screenshot
Dagster screenshot

Access & connections

Where you can use Dagster, and what it plugs into.

Platforms

Web

Integrations

Snowflake

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Data Orchestration
  • Integrated Lineage and Observability
  • Asset-based Orchestration
  • Best-in-class Testability (local testing, branch deployments)
  • Data Catalog & Quality
  • Cost Tracking and Insights

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In the news

Launch coverage and community mentions for Dagster.

FAQ 9

What is Dagster?
Dagster is a cloud-native orchestrator designed for the entire development lifecycle, offering integrated lineage and observability, a declarative programming model, and best-in-class testability. It serves as a modern data orchestrator platform that helps teams build, schedule, and monitor reliable data pipelines quickly and flexibly. Dagster acts as a unified control plane for building, scaling, and observing AI & data pipelines with confidence. It enables users to model various data assets like tables, files, and ML models, providing a built-in catalog, lineage, and cost insights from day one. The platform automatically tracks, documents, and audits every dataset to ensure data integrity, compliance, and transparency throughout its lifecycle. Dagster integrates with any stack, from S3 to Snowflake to PowerBI, and is built to provide an excellent developer experience while offering data leaders the transparency, control, and insights they need.
How to use Dagster?
To use Dagster, you can get started with a free 30-day trial or book a demo. The platform allows you to develop and test pipelines, monitor data quality, track complete data lineage, and leverage metadata and source observability. It supports testing code in any development stage locally, enabling automatic deployment to staging environments and confident shipping of data and AI products faster.
How do you measure usage?
In Dagster+, credits measure key events that drive your data platform, as well as the history and metadata for your assets. A credit is defined as the sum of asset materializations and ops executed. Every asset materialized in your pipeline counts as 1 credit, and each op that executes counts as 1 credit.
How much can I expect to pay on the Starter plan?
If you are on a team with three data engineers building simple pipelines, your bill will be $100 a month. This plan comes with basic terms and conditions for easy contracting but excludes indemnity, liability, or a DPA.
What happens if I exceed my contracted credits in Dagster+?
Dagster+ will not shut down your pipelines due to usage. Credits consumed beyond what is allotted in your plan will be charged at an overage cost of $0.03/credit.
Do you have a free trial?
Yes. You can get access to everything Dagster+ has to offer, free for 30 days.
Can I get a discount by paying annually or buying credits?
Yes! Customized purchase structures are available for customers in our Pro plan. Please contact their team to discuss.
What payment methods do you offer? Can I be invoiced?
They accept credit and debit cards on their Start and Solo plans. Custom invoicing and ACH are available to Pro customers.
Do you offer special pricing for startups, higher ed, non-profits, etc?
They do not currently offer a self-enrollment discount for not-for-profit organizations. If you are interested in a Pro plan as a not-for-profit, please contact their team.
Dagster From $10 per month
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