BigQuery

“The speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable. Because what they handle is for those edge cases, we have like a bunch of, like Snowflake is really good at a bunch of small tables everywhere trying to load a memo…”

“Snowflake exports supports exporting query results to arrow format. So it is big query.”

“One of our co-founders is the founder of BigQuery.”

“The hyperscalers, they're great at kind of managing within their ecosystem, right? If you're purely technical metadata within BigQuery or Snowflake or Databricks and so on. But then how do you tie it to the business? That's not something that they do.”

“So you're seeing companies like BigQuery with 1.5 billion dollars in revenue, Snowflake with a billion dollars in revenue Databricks with eight hundred million in accelerating.”

“Architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can have infinite compute at the kind of tips of my fingers without having to go outsid…”

“80% of the, those workloads are less than a hundred megs in size.”

“In the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery and Redshift, and Snowflake either for Cost or performance or both.”

“You know, we can do queries in sort of single digit milliseconds. And you know, in BigQuery, we were very, very happy when we got kind of the overhead down to like, 400 milliseconds.”

“Snowflake makes it really easy, and I'd say BigQuery does too, but Snowflake makes it really easy. Like, if you do not have a ton of people to manage things, I think it's hard to go against it.”