Build data products you can count on

Whether you are building consumer-facing data products or enabling self-serve analytics, trust the only modern data orchestrator that help you deliver data products with confidence.

Your business depends on data you can trust

Data is the backbone of your business, whether you are monetizing your data products or accelerating decisions with self-serve analytics. Observability, quality, and reliability aren’t nice-to-haves - they’re table stakes.

Lack of visibility across pipelines

Teams struggle to understand where data is coming from, how it’s transformed, and where it’s going. Customers find out about data quality issues before you do.

Slow, risky development cycles

Without local testing, branch deployments, or version control, teams are forced to test in production, slowing down iteration and increasing risk.

Fragmented tooling and governance

Teams adopt different tools without consistent standards for quality, observability and access control. Silos, duplicated work and compliance risks are the norm.

Features Overview

Data is at the center of everything you do

Organize your pipelines around data assets, not tasks. Get complete visibility into data lineage and dependencies across your entire ecosystem.

Validate data quality at every stage with built-in testing and monitoring, and monitor pipeline health, performance, and costs with Dagster Insights.

Developer experience meets data reliability

Data engineers can have nice things, too. Don’t sacrifice a great developer experience for data reliability. A best-in-class local development workflow allows engineers to build and test data products like software.

Enterprise-grade governance

Centralize visibility across teams, tools, and environments while allowing teams to maintain velocity without sacrificing security. Fine-grained access controls, and audit-ready lineage ensures compliance with full traceability of your data transformations.

Accelerate Reliably

Red Ventures, a digital media company, modernized its data platform with Dagster to better provide personalized customer experiences and insights for its own brands and partners.

5 hours saved every week
Dagster eliminated 5 hours of weekly manual work previously required for partner report delivery.
Development workflow improved
Dagster’s local development environment enabled immediate local validation, reducing the uncertainty of 3-hour builds.

Why teams love Dagster

Seamless integration & scalability

Connect to your existing data stack and scale as your business grows—without bottlenecks.

Built for developers, loved by data leaders

A developer-friendly platform that provides the transparency, control, and insights data leaders need.

Future-proof your data strategy

Scale with your growing data and AI workloads ahead with a flexible, open-source foundation that evolves with your needs.

Ship data and AI products faster

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.

Try Dagster+

Latest writings

The latest news, technologies, and resources from our team.

When to Move from Dagster OSS to Dagster+
When to Move from Dagster OSS to Dagster+

February 26, 2026

When to Move from Dagster OSS to Dagster+

Dagster OSS is built for builders. But as teams grow, the operational burden of running the platform can quietly consume engineering time. This guide explains when it makes sense to move to Dagster+ and shift your focus back to building data products.

Sample-Level Versioning for ML Pipelines with Dagster and Metaxy
Sample-Level Versioning for ML Pipelines with Dagster and Metaxy

February 13, 2026

Sample-Level Versioning for ML Pipelines with Dagster and Metaxy

Learn how Metaxy can be used to build multimodal data pipelines with sample-level granularity on Dagster

Evaluating Skills
Evaluating Skills

February 6, 2026

Evaluating Skills

We built a light weight evaluation framework to quantiatively measure the effectiveness of the Dagster Skills, and these are our findings.