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.
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.




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.
Legacy systems were not designed for modern data workflows, and task-based paradigms don’t map to your data-centric needs.
Slow development cycles lead to frustrated stakeholders and a lack of trust in the data team.
Limited lineage tracking across your data, siloed views by team, with no ability to diagnose failures or understand impact.
Transition from your legacy orchestrator to Dagster without disruption using Airlift. Automatically convert DAGs to data assets while maintaining backward compatibility during migration.
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.
Measure and demonstrate value at each stage of your data modernization journey. Start small, prove ROI, and expand adoption based on tangible outcomes.
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.
Read full case studyGroup 1001 migrated off large legacy systems in just four months with two developers, an accelerated timeline for a complex modernization project.
Group 1001 increased processing speed compared to their previous solution, directly enabled by a modern data platform.

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

This article draws on a Dagster+ Hybrid deployment on Kubernetes and Azure at a very large enterprise. It covers the work outside the Helm chart: workload ownership, isolation, networking, identity, sizing, and capacity.

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