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From Concept to Market: The PMF Journey of Dagster
Feb 22, 2024
Nick Schrock and Pedram Navid discuss the journey of Dagster from concept to market, highlighting the challenges of managing complex data pipelines. They explore the concept of quantified organizations and the importance of data-driven insights. The conversation includes insights on system manipulability, DAGster's impact on data orchestration, and the evolution towards product-market fit.
31:17
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Quick takeaways
- Dagster was developed to handle complex data pipelines reliably, addressing the challenges in workflow orchestration.
- Dagster Labs' journey to finding product-market fit involved targeting data engineers initially and expanding to a broader enterprise audience.
Deep dives
Introduction of DAGSTER and Its Origin
DAGSTER, a data orchestration platform, was created by Nick Schrock in 2018 to address the challenges of building and managing complex data pipelines reliably. Schrock, a co-founder of GraphQL, envisioned DAGSTER as a solution to orchestrate data workflows effectively. DAGSTER introduced data-aware scheduling, allowing explicit definition of data dependencies within pipelines for enhanced reliability. The platform evolved with contributions from the community to support various data use cases, focusing on developer productivity and collaboration.
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