Modernization made easy

Don’t let your data modernization strategy stop before it starts. Accelerate innovation and time-to-market with a low-risk incremental adoption.

There’s never been a better time to choose a modern data orchestration platform.

Leave your legacy systems behind

Legacy systems were designed for a different era and different use cases. You shouldn’t be forced to choose between maintaining the status quo and falling behind or undertaking risky “big bang” migrations.

Drowning in technical debt

Legacy systems were not designed for modern data workflows, and task-based paradigms don’t map to your data-centric needs.

Bottlenecked developer velocity

Slow development cycles lead to frustrated stakeholders and a lack of trust in the data team.

Fragmented visibility

Limited lineage tracking across your data, siloed views by team, with no ability to diagnose failures or understand impact.

Your path to data modernization

Incremental migration with Airlift

Transition from your legacy orchestrator to Dagster without disruption using Airlift. Automatically convert DAGs to data assets while maintaining backward compatibility during migration.

A single control plane for all your data systems

Monitor and manage both legacy and modern pipelines from a single control plane. Observe compute anywhere, in any language with Dagster Pipes. Get unified observability across your entire data platform without having to rewrite every pipeline from scratch.

Instant value gratification

Measure and demonstrate value at each stage of your data modernization journey. Start small, prove ROI, and expand adoption based on tangible outcomes.

Modernizing data operations

Group 1001, an insurance organization, modernized its data operations to handle significant business growth and workload increases. By adopting the Dagster platform, they transitioned from legacy systems to a more efficient and reliable data infrastructure, achieving remarkable speed and maintaining optimal efficiency.

Full migration in less than 4 months
Group 1001 migrated off large legacy systems in just four months with two developers, an accelerated timeline for a complex modernization project.
Thousands of transfers in hours
Group 1001 increased processing speed compared to their previous solution, directly enabled by a modern data platform.

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.

dbt Fusion Support Comes to Dagster

August 22, 2025

dbt Fusion Support Comes to Dagster

Learn how to use the beta dbt Fusion engine in your Dagster pipelines, and the technical details of how support was added

What CoPilot Won’t Teach You About Python (Part 2)

August 20, 2025

What CoPilot Won’t Teach You About Python (Part 2)

Explore another set of powerful yet overlooked Python features—from overload and cached_property to contextvars and ExitStack

Dagster’s MCP Server

August 8, 2025

Dagster’s MCP Server

We are announcing the release of our MCP server, enabling AI assistants like Cursor to seamlessly integrate with Dagster projects through Model Context Protocol, unlocking composable workflows across your entire data stack.