Open Source Startup Podcast
E151: Taking on DBT by Combining Data Transformation with a Query Engine
Sep 30, 2024
Lukas Schulte, Co-Founder and CEO of SDF Labs, shares insights from his journey in data transformation and querying. He discusses the challenges of the Modern Data Stack, including SQL dialect variations, and how SDF Labs enables local SQL validation. Lukas highlights his choice of Rust for robust development and the advantages of a closed-source CLI for speed and flexibility. He emphasizes the importance of strategic partnerships in enhancing functionality and user experience within the data ecosystem. Tune in for valuable lessons from the world of data!
31:14
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Quick takeaways
- SDF Labs addresses the pain points of modern data stacks by providing a versatile data transformation layer that simplifies SQL dialect inconsistencies.
- The importance of community engagement and customer feedback is emphasized as crucial for refining their product and driving growth nearly in real-time.
Deep dives
Origins of STF Labs
The concept for STF Labs emerged from the challenges experienced while building a data-intensive video editing app. As the startup grew, the need for a scalable data transformation layer arose, due to increasing complexities such as GDPR compliance and the evolving demands of diverse data consumers. Lucas, the CEO, recognized that existing solutions primarily catered to large-scale enterprises like Meta, which prompted him to explore developing a similar yet more adaptable framework. By collaborating with co-founders who gained experience in data architecture at Meta, they aimed to create a data transformation engine that could function effectively for startups and larger companies alike.
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