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.

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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.

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Latest writings

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

Multi-Tenancy for Modern Data Platforms
Webinar

April 13, 2026

Multi-Tenancy for Modern Data Platforms

Learn the patterns, trade-offs, and production-tested strategies for building multi-tenant data platforms with Dagster.

Deep Dive: Building a Cross-Workspace Control Plane for Databricks
Webinar

March 24, 2026

Deep Dive: Building a Cross-Workspace Control Plane for Databricks

Learn how to build a cross-workspace control plane for Databricks using Dagster — connecting multiple workspaces, dbt, and Fivetran into a single observable asset graph with zero code changes to get started.

Dagster Running Dagster: How We Use Compass for AI Analytics
Webinar

February 17, 2026

Dagster Running Dagster: How We Use Compass for AI Analytics

In this Deep Dive, we're joined by Dagster Analytics Lead Anil Maharjan, who demonstrates how our internal team utilizes Compass to drive AI-driven analysis throughout the company.

How to Make the Architectural Case for Dagster
How to Make the Architectural Case for Dagster
Blog

June 9, 2026

How to Make the Architectural Case for Dagster

Mature orchestration environments often work operationally while still leaving critical data dependencies implicit. This post introduces the Orchestration Maturity Model, explains the architectural ceiling of job-centric systems, and shows how Dagster’s asset-aware approach helps teams reason about freshness, lineage, quality, and self-service at enterprise scale.

Community Showcase Part 1
Community Showcase Part 1
Blog

June 3, 2026

Community Showcase Part 1

Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications ranging from public data exploration and infrastructure monitoring to research automation and internal tooling, along with why their creators chose Dagster and what building with it was like.

How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics
How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics
Blog

June 1, 2026

How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics

Text-to-analytics promises self-service access to data, but adoption depends on usability, governance, and trust. In this guest post, Brooklyn Data explains how it evaluated Compass, deployed it on top of Snowflake, and enabled teams to answer operational questions directly in Slack while maintaining centralized governance and business context.

How Magenta Telekom Built the Unsinkable Data Platform
Case study

February 25, 2026

How Magenta Telekom Built the Unsinkable Data Platform

Magenta Telekom rebuilt its data infrastructure from the ground up with Dagster, cutting developer onboarding from months to a single day and eliminating the shadow IT and manual workflows that had long slowed the business down.

Scaling FinTech: How smava achieved zero downtime with Dagster
Case study

November 25, 2025

Scaling FinTech: How smava achieved zero downtime with Dagster

smava achieved zero downtime and automated the generation of over 1,000 dbt models by migrating to Dagster's, eliminating maintenance overhead and reducing developer onboarding from weeks to 15 minutes.

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster
Case study

November 18, 2025

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster

UK logistics company HIVED achieved 99.9% pipeline reliability with zero data incidents over three years by replacing cron-based workflows with Dagster's unified orchestration platform.

Modernize Your Data Platform for the Age of AI
Guide

January 15, 2026

Modernize Your Data Platform for the Age of AI

While 75% of enterprises experiment with AI, traditional data platforms are becoming the biggest bottleneck. Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.

Download the eBook on How to Scale Data Teams
Guide

November 5, 2025

Download the eBook on How to Scale Data Teams

From a solo data practitioner to an enterprise-wide platform, learn how to build systems that scale with clarity, reliability, and confidence.

Download the eBook Primer on How to Build Data Platforms
Guide

February 21, 2025

Download the eBook Primer on How to Build Data Platforms

Learn the fundamental concepts to build a data platform in your organization; covering common design patterns for data ingestion and transformation, data modeling strategies, and data quality tips.

AI Driven Data Engineering
Course

March 19, 2026

AI Driven Data Engineering

Learn how to build Dagster applications faster using AI-driven workflows. You'll use Dagster's AI tools and skills to scaffold pipelines, write quality code, and ship data products with confidence while still learning the fundamentals.

Dagster & ETL
Course

July 11, 2025

Dagster & ETL

Learn how to ingest data to power your assets. You’ll build custom pipelines and see how to use Embedded ETL and Dagster Components to build out your data platform.

Testing with Dagster
Course

April 21, 2025

Testing with Dagster

In this course, learn best practices for testing, including unit tests, mocks, integration tests and applying them to Dagster.