Data engineering is software engineering
Don’t settle for anything less. Your data is as important as your software, so trust the only modern data orchestrator that lets you test locally and ship confidently.
Death by a thousand data sytems
Fast growth means data can become an afterthought. Disparate systems hinder a unified view, and a lack of end-to-end visibility makes it difficult to trace lineage, understand dependencies, and troubleshoot effectively.
Slow development and mediocre tooling
Traditional orchestration tools suffer from no local development or testing environments, leading to slow feedback loops and increased risk in production. Testing in prod is all too common, and so is bringing down key systems.
Unmaintainable systems that don’t scale
As data volumes and data sources grow, cobbled-together data platforms become bottlenecks on efficiency. Pipelines have little standardization and are harder to manage, and operational overhead takes time away from feature development.
Team velocity suffers
Data scientists and analysts rely too much on data engineering teams for pipeline creation and maintenance, slowing down insights. Lack of self-service capabilities means data teams can’t understand and access their data, slowing down team velocity.
Go from brittle jobs to modern, scalable pipelines
Before Dagster, your team was stuck managing fragile cron jobs, duct-taping scripts, and guessing at what’s running in prod.
Now, you get a unified, software-native way to build, test, and scale your data platform—without reinventing the wheel.
Bring all your scripts and code into a single unified platform that everyone can observe with ease.
Data engineering should feel like software engineering. Write pipelines you can actually test.
Get alerts on failed runs with context, logs, and inputs—automatically.
Red Ventures eliminated manual work with zero downtime
Red Ventures was spending time firefighting unreliable bespoke ETL jobs. With no visibility and difficulty troubleshooting, their developers became frustrated with their legacy Airflow system. Dagster’s asset-based approach, strong support for software engineering best practices, and the dbt and Airlift integrations, helped them ship faster, with more confidence.
Start Your Data Journey Today
Unlock the power of data orchestration with our demo or explore the open-source version.
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