Build data and AI pipelines declaratively
Dagster Components let any stakeholder write a few lines of YAML to create production ready data pipelines.
Less code. Better engineering.
Your data platform shouldn’t feel like rocket science. Onboard teams to your data platform while enforcing standards with declarative data pipelines.
The next generation framework for data pipelines
Dagster Components takes your Python code and makes it reusable and configurable
Standardization without handholding
Build custom components that abstract away glue code, so teams can reuse patterns, enforce best practices, and onboard quickly.
Skip boilerplate with the component marketplace
We include many out-of-the-box Components for common data technologies like dbt. Coming soon, you can publish your organization’s custom Components to a private component library right inside of Dagster+.
The next generation of data platform tooling
A powerful but approachable CLI, full IDE autocompletion support, and rich error reporting should be table stakes. Components ship with all that and support for Model Context Protocol so that you can fully leverage AI code generation.
The next evolution of data engineering is here
A developer experience that actually delivers on the promise of elegance, simplicity, and productivity in a modular framework.
Self service for all teams
Stop wasting engineering time on repeated. Enable your downstream teams to write their own pipelines. No glue code, no retraining. Out-of-the-box support for dbt, Fivetran, DLT, Snowflake, Power BI and more.
Put your platform on rails
Dagster enables data platform teams to standardize best practices by authoring reusable Components. Teams using these Components can rest assured that they're building with best-practices in mind.
Accelerate development
Building new pipelines is pain free with self-documenting components, IDE autocompletion, and component validation with detailed errors. Components eliminate boilerplate, and the built-int Model Context Protocol (MCP) support enables you to take advantage of all the benefits of AI, with full safety guardrails.
Vibe coding for data teams
Components make data pipeline code so simple, even AI could write it. With defined schemas, your components are easy to build with modern AI developer tooling.
A modern SDLC
Dagster Components was designed with modern data teams in mind, supporting software development best practices such as infrastructure-as-code, GitOps, CI/CD, local development, and branch deployments.
How it works
Great data engineering starts with the right tools, built by experts who understand modern data pipelines.
Create a dagster project
Get the best of both worlds with YAML for simple configurations and Python when complex use cases demand it.
Scaffold your pipeline
Spin up a ready-to-run Dagster project in minutes without boilerplate.
Customize your pipeline
Edit your YAML file to ensure that all the details are correct and that the pipeline does exactly what you want it to.
Validate and deploy
Instantly validate that your YAML is correct, manage your secrets, and deploy with a single command.
"Dagster is easy to use, it's ELT friendly, can integrate with the main modern tools out of box and allows you to automate whatever you want wherever it is."
Ismael Rodrigues
"We would not exist today as a company if we didn't move to a single unified codebase, with a real data platform beneath it."
Tom Vykruta
EvolutionIQ
“Somebody magically built the thing I had been envisioning and wanted, and now it's there and I can use it.”
David Farnan-Williams
Cottera
“Dagster has been instrumental in empowering our development team to deliver insights at 20x the velocity compared to the past. From Idea inception to Insight is down to 2 days vs 6+ months before.”
Gu Xie
Group1001
Turn your data engineers into rockstars
Try Dagster+