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.

Dignified Python: 10 Rules to Improve your LLM Agents
Dignified Python: 10 Rules to Improve your LLM Agents

January 9, 2026

Dignified Python: 10 Rules to Improve your LLM Agents

Modern LLMs generate patterns, not principles. Dignified Python gives agents the intent they lack, ensuring code is explicit, consistent, and engineered with care. Here are ten rules from our Claude prompt.

Evaluating Model Behavior Through Chess
Evaluating Model Behavior Through Chess

January 7, 2026

Evaluating Model Behavior Through Chess

Benchmarks measure outcomes, not behavior. By letting AI models play chess in repeatable tournaments, we can observe how they handle risk, repetition, and long-term objectives, revealing patterns that static evals hide.

How to Enforce Data Quality at Every Stage: A Practical Guide to Catching Issues Before They Cost You
How to Enforce Data Quality at Every Stage: A Practical Guide to Catching Issues Before They Cost You

January 6, 2026

How to Enforce Data Quality at Every Stage: A Practical Guide to Catching Issues Before They Cost You

This post gives you a framework for enforcing data quality at every stage so you catch issues early, maintain trust, and build platforms that actually work in production.