Handy: dbt serves batch data workloads, not sub-100ms real-time applications
Tristan Handy · Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark) · Dec 11, 2020 · at 7:30
Tristan Handy, Founder and CEO of dbt (Fishtown Analytics), outlines dbt's architectural boundaries regarding batch analytics versus low-latency real-time applications during a Data Driven NYC panel.
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“There's a lot of data science that's done Internally where like you're doing predictive analysis that, you know, the data latency can be a day or it can be like last quarter's data is fine. And those data science workloads are often run on the exact same stack that I was talking about before, but the minute that you're like serving recommendations in a public facing application and you need A hundred millisecond or less response time. Like that is a very different thing. So that that's kind of how we slice, you know, today the dbt focused stack can do that former thing and it can do it extremely well. We don't even attempt to think about that ladder problem.”
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