About This Event
DeepSeek's smallpond hit 110TB on distributed DuckDB and everyone lost their minds. But what are the real options for scaling DuckDB today? Jordan Tigani (MotherDuck), Jake Thomas (Okta), and Mehdi Ouazza (MotherDuck) talk through what actually works: when to throw more RAM at it vs. going distributed, how serverless compares, and what Okta learned running DuckDB on large datasets in production.
What You'll Learn
- When to scale DuckDB up (bigger machines) vs. out (distributed)
- How serverless approaches compare to distributed frameworks like smallpond
- What Okta learned running DuckDB at scale in production
- How to pick the right architecture for terabyte-to-petabyte workloads
Who Should Attend
This event is ideal for:
Data EngineersSoftware EngineersTechnical Leaders
