Google BigQuery

“And our key insight was that companies increasingly move a large majority of their data into these large cloud data systems like a Snowflake or a Databricks or Google BigQuery. And those systems traditionally, you could really only access them directly if you …”

“The query sizes they were using was a hundred terabytes, and I remembered back from my time at BigQuery you know, we had some of the, Largest customers in the world. We had Walmart, Home Depot, Equifax, HSBC, you know, like, and nobody was using anything, you …”

“In BigQuery, we didn't implement time zones for, I think, like six or seven years, because it's just really hard to get right, and like, you know, there's all kinds of bizarro things in in, when you deal with you know, with time zones, and we're like, well, we…”

“Redshift and later Google BigQuery and companies like Snowflake innovated on this model, and basically, if you think about that data warehouse as being, like, in the middle of the stack of what RJ Metrics was, it broke our stack right in half, because No one w…”

“Yeah, that, that, that was, and I would say still is the most differentiated element of GTP, and I think it's still unequal, at least in like cloud accessible mass you know, large scale available databases, that kind of thing.”

“Google BigQuery is a very impressive data engine. It's probably the only one of the cloud majors that's delivering in a fully serverless kind of way.”