That's true. Most of our production data is in the "petabyte" category. But often we start out with a small amount of data, for example for a new feature or product. That's when a lot of the exploration and query building happens. Once that's done, we leverage BigQuery to scale this up, serving a few hundred million users. There's a platform/standardisation component to this as well. We want our devs to use a single tool for all of their OLAP uses cases.