“Being able to visualize and test changes using branch deployments has enabled our data team to ship faster”
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“Somebody magically built the thing I had been envisioning and wanted, and now it's there and I can use it.”
“Dagster brings software engineering best practices to a data team that supports a sprawling organization with minimal footprint.”
“Dagster acts as a central plane for understanding data lineage, monitoring asset states, and orchestrating pipelines to update them.”
“Dagster has been instrumental in empowering our development team to deliver insights at 20x the velocity compared to the past. From Idea inception to Insight is down to 2 days vs 6+ months before.”
"Dagster is easy to use, it's ELT friendly, can integrate with the main modern tools out of box and allows you to automate whatever you want wherever it is."
“Being able to visualize and test changes using branch deployments has enabled our data team to ship faster”
“Somebody magically built the thing I had been envisioning and wanted, and now it's there and I can use it.”
“Dagster brings software engineering best practices to a data team that supports a sprawling organization with minimal footprint.”
“Dagster acts as a central plane for understanding data lineage, monitoring asset states, and orchestrating pipelines to update them.”
“Dagster has been instrumental in empowering our development team to deliver insights at 20x the velocity compared to the past. From Idea inception to Insight is down to 2 days vs 6+ months before.”
"Dagster is easy to use, it's ELT friendly, can integrate with the main modern tools out of box and allows you to automate whatever you want wherever it is."
No vendor lock-in—90% of your Dagster code can be reused without it. In just 10 months of use, I’ve already seen multiple instances where Dagster's data observability features helped us catch and resolve issues that would have otherwise gone unnoticed.
We built a deployment of Dagster in 6 months for a team of 40 analysts and data scientists, all managed by two software engineers, with no dedicated data engineers, for a Fortune 500 company. There is no leaner, cleaner option out there.
Dagster provided out-of-the-box support for deployment and execution on Kubernetes, had built-in support for declarative automation, and provided a UI that allowed data producers and consumers to quickly understand the state of their data assets.
"You won't need to run a bunch of complicated infrastructure like docker containers to run this locally like you would with Airflow."
"Choosing the right abstraction is the most important decision you can make. Airflow requires you to write configuration as code; Dagster allows you to write code that implements business logic."
"Dagster grows with you; it's easy to learn and remains intuitive. Airflow starts and stays hard, making it incredibly demotivating to get started."
No vendor lock-in—90% of your Dagster code can be reused without it. In just 10 months of use, I’ve already seen multiple instances where Dagster's data observability features helped us catch and resolve issues that would have otherwise gone unnoticed.
We built a deployment of Dagster in 6 months for a team of 40 analysts and data scientists, all managed by two software engineers, with no dedicated data engineers, for a Fortune 500 company. There is no leaner, cleaner option out there.
Dagster provided out-of-the-box support for deployment and execution on Kubernetes, had built-in support for declarative automation, and provided a UI that allowed data producers and consumers to quickly understand the state of their data assets.
"You won't need to run a bunch of complicated infrastructure like docker containers to run this locally like you would with Airflow."
"Choosing the right abstraction is the most important decision you can make. Airflow requires you to write configuration as code; Dagster allows you to write code that implements business logic."
"Dagster grows with you; it's easy to learn and remains intuitive. Airflow starts and stays hard, making it incredibly demotivating to get started."
