Your analytics pipelines are the foundation of your data stack, so why not give them first-class treatment.
Build true end-to-end pipelines with the only modern data orchestrator with observability, lineage, and reliability.
Dagster simplifies pipeline building with best-in-class integrations with your favorite ETL tools, all with a developer experience that will make data teams feel like software engineers.
A unified control plane enables teams to use their preferred tools while maintaining visibility and governance without sacrificing velocity.
Break down data silos and accelerate productivity with the only modern data orchestrator built for high-performing teams.
Built for modern data engineering workflows with local testing, branch deployments, and all the software engineering best practices your teams expect.
Define easy-to-use reusable components so your teams can focus on business logic, not boilerplate, so you can ship data and AI products to market faster.
Dagster lives alongside your existing data stack seamlessly. Integrate your pipelines seamlessly with a best-in-class dbt integration.
Start with a single team or workload, prove value, monitor your existing pipelines, and expand at your pace. Eliminate risky, disruptive migrations while still modernizing your platform.
Organize your pipelines around the data assets that matter, not just tasks. Get complete visibility into data lineage and dependencies across your entire ecosystem.
Your data doesn't stop after it's loaded, so neither should your lineage. Navigate your data platform with a modern UI that lets you zoom out to see the full picture or drill in to troubleshoot individual assets—all with the observability and controls you need built right in.
Define data quality at the source with asset checks and unit tests. Prevent data outages with built-in monitoring and alerts. Get full observability of pipeline health and lineage for faster debugging.
Build and test your data pipelines locally, then deploy confidently to production. Write ETL in pure Python with reusable components that eliminate boilerplate and standardize best practices.
KIPP streamlined its fragmented data stack with Dagster, creating a unified platform for ETL and analytics. This improved observability and lineage and led to faster development and better data quality.
Read the full case study
KIPP accelerated development by reducing integration times from weeks to days.
Real-time alerts and lineage tracking improved data reliability.
Connect to your existing data stack and scale as your business grows—without bottlenecks.
A developer-friendly platform that provides the transparency, control, and insights data leaders need.
Scale with your growing data and AI workloads ahead with a flexible, open-source foundation that evolves with your needs.
Automate, monitor, and optimize your data pipelines with ease. Get started today with a free trial or book a demo to see Dagster in action.
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