BigQuery

“Even in my current company all our systems data, like Salesforce, HubSpot, and everything even Gong data, we actually put into BigQuery, you know, every data, and then we have we have cursor sitting on top of BigQuery, and if anything I want, I just ask cursor…”

“We have seen internally that our legal team and our finance team are getting a ton of value out of using cloud code itself. We're going to be making better interfaces so that they can, they they'll have an easier time and require a little bit less jumping in t…”

“Whether it's Databricks or Snowflake, whether it's Shopify, whether it's BigQuery, whether it's All S three, all the places where you're storing data through your company, all of that needs to be one consistent data layer for that agent to be able to really be…”

“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.”

“Enterprises really started moving to cloud for their data in twenty-twenty. There was like Hadoop stuff going on before that, but that like never really achieved any level of maturity or real penetration. And yes, Redshift and stuff like did exist prior to, an…”

“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.”

“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.”

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

“Basically all these feeds information land in our data warehouse, which is BigQuery. And from there, they're pushed out via a reverse CTL tool we use called Census to Slack and Notion.”

“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…”

“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.”

“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.”

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

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

“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…”