Snowflake

“We were even actually found ourselves to be more price performance Than other cloud solutions like Redshift.”

“Virtually all of our customers have looked at Redshift. And quite a few of our customers are converted off of it, because we're very fundamentally different than they are.”

“In fact, we allow full relational operations against that semi-structured data. You can do a join between a column in a standard relation, in a standard structure table, and data that is hierarchically stored in a semi-structured format.”

“In fact, it's possible to change the size dynamically on the fly based on the kinds of queries you're running. And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within,…”

“So what we do is the data is permanently stored in blob storage in S-three. It's the only permanent store of the data.”

“All of the data about Snowflake is in Snowflake.”

“And that organization can be another division within a company, and we have, you know, if you look at all of our large customers, they're pretty much all using multiple accounts, snowflake accounts, and doing data sharing between them as a way to allow the dat…”

“And so, you know, we are getting requests for other clouds, and we hear, you know, hear them about Microsoft and Google and so you'll, you'll see some things coming up in the future.”

“We see ourselves staying very close to home. I think when we think about what can be done with the data warehouse We don't have to become, think about ETL or ELT, nor do we have to think about BI and advanced analytics to do really meaningful things to drive o…”

“I mean, some of our customers are taking a combination of, for example, Fluent together with Snowflake and using that as an alternative to other technologies like Splunk.”

“Our founders liked skiing, and they were up at North Star. No, this is true. This is all true, right? Everybody's like, oh, it must be the Snowflake Ski Moe, or whatever. I mean, and there's a million different stories, but the actual story was there were skie…”

“At that point in time, the product was just in early alpha, and there were really no customers on it, and it had not been demonstrated at any level of scale.”

“We do compete with Redshift. I think Amazon has a 150 different services in their portfolio. We compete with maybe Three, depending on whether you want to include Athena and Spectrum in that.”

“Sequoia joined us and so we just closed a round that was just north of two hundred and sixty million raised.”

“We now bill at a per second level of granularity, and we have customers, we have one customer that every Friday afternoon goes from a really, relatively modest amount of continuous usage of Snowflake to literally thousands of nodes running simultaneously, and …”

“Spark, I think, is being used very, very broadly for advanced analytics, machine learning, in some cases for streaming data, and those scenarios are all very, very complimentary to Snowflake.”

“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…”

“If the data source is really large, it's something that's just yours, so Fivetran's never going to build a connector to it, and it's relatively stable, like it's not constantly changing configuration, then you can build your own data pipeline using the tools p…”

“We run a Databricks on S-III, but we pull data into Databricks from Snowflake, so we have a connection between the two.”

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

“We use SG as so like the storage layer for our data warehouse, and we use Spark, Presto, Snowflake as our query engines.”

“Snowflake is a fantastic example of, under the hood, they, you know, they have a very modern microservice architecture, but it's all sort of very neatly wrapped up with a bow on top, such that it looks like a SQL database, and that's much, much more attractive…”

“If you read Snowflake's S-One, they never mentioned the word developer. That's all about the business analysts, The data scientists, et cetera, to help them kind of get, you know, insight into the data.”

“It's certainly going to coexist, and it already coexists with Databricks in probably 70% of the accounts we're in.”

“And the story of the last few years has been the great convergence of those two stacks. And in particular data breaks has worked on making their data lake more structured and look more like a data warehouse. And Snowflake is still in the early days of taking t…”

“So the future that we see is, you know, as much as the Databricks and the Snowflakes of the world would want to be The one platform where all things data and all things AI happen we actually from our vantage point, see much more of a particular persistent subs…”

“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…”

“I don't think the way we get there is sort of like through open standards and stuff like that. I don't think anybody will actually adhere to that. I think most likely what happens is Snowflake basically says, hey, if you do things in this particular way, we ca…”

“Strava's been a Snowplow customer for some time, and they generate four billion events per day with Snowplow, and that drives into Snowflake, and then they build all sorts of cool data apps on the other side of it, including a lot of the Strava UI and a lot of…”

“We use Databricks as our, as that data layer, and we use Snowflake to do very specialized analytical database workloads that it's very, very good at.”

“The bigger companies, like Databricks or Snowflake might build these tools and offer it on their sequel editor or, like, some kind of, like, you know, assistant And that could probably solve the problem. It's not a great problem for a startup to work on.”

“My read is that people like us, people like Fivetran, while we are critical to their success as platforms, because we drive a ton of consumption. They don't actually really care about the dollars that we make as businesses. Cause they're so tiny relative to th…”

“And so I think our The biggest advantage versus those other companies that you mentioned is that we started late, and that allowed us to see this deep learning problem in front of our eyes versus machine learning, again, a lot smaller, a lot slower, and it als…”

“It's about 11% of Snowflake's revenue is marking up storage.”

“The total market cap of Ethereum is 7.6 times snowflakes market cap.”

“But you look at like Amazon, Google, Facebook, Microsoft, all are under an attack trust and basically impossible for them to acquire. So there's, you don't really have the big chip stacks at the table anymore, which means if you're an acquirer like Snowflake o…”

“When Looker went to market, we initially partnered with Snowflake, and we were bringing Snowflake into deals, and that worked really well, and then Snowflake started to grow really fast, and Snowflake was bringing Looker into deals, and so so why is this?”

“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.”

“Snowflake is a columnar, a data store with the separation of compute and storage like we have with our cloud service. But I don't believe that it was originally engineered to power these extremely low latency, high concurrent analytical workloads.”

“Probably Databricks, and Databricks and Snowflake, probably more Databricks will be like this like enabler of open source.”

“It's really been a white fight for workflows versus a fight for like contracts. Cause in the past it was like, okay, you sign a ten million dollar contract for Teradata. You're kind of stuck with it, right? Like there's no choice now for the next three to five…”

“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.”

“Databricks and Snowflake are cloud only, so if you happen to have data on-prem we're pretty much your only bet, and you know, it just so happens that that turns out to be most of the Fortune 500 almost the entirety of the financial Social services sector in pa…”

“You have a couple giant players in Databricks and Snowflake that are now looking for adjacent markets to continue to grow their TAM and justify their valuations and drive their revenue into the future. And, ah, and that's leading to more overlaps into boxes th…”

“We very deliberately went after asset managers as our early customers, why they're more progressive. They want to make more money. They're earlier adopters of technology and have less regulation to deal with, say, compared to banks, which just have, it's more …”

“My original agreement with Frank, the Snowflake CEO, was that I would stay with Snowflake for six months.”

“At Snowflake itself, for example, I am very flat with my team that I do not have any tolerance for 18 month projects. If you tell me that you're going to start on a rewrite, and it's going to take you 18 months before it shows any value, you know, it's not, yo…”

“I expect us, me and the team, To drive way more revenue in new things we can do with Iceberg, then we are going to lose, potentially, by some of our storage revenue going out to cloud storage”

“The net of this is that we have thousands of deployed production use cases on our AI products.”

“We actually hosted the full version of DeepSeek, not their small model.”

“And so part of the difficulty that Snowflake had with machine learning and AI was they brought a similar mentality. You're going to write a design doc. It's going to take us 18 months. It's going to be great. Opposite of what you need to succeed in iterative e…”

“And Snowflake initially approached this as mostly a defensive move.”

“This is also where Iceberg or just a data lake strategy or a lake house strategy is not an immediate answer because formats like Iceberg do not understand governance rules, do not understand role-level access control, they don't understand users, they don't un…”

“My take is that us deciding to monetize storage was a long-term strategic mistake. I think we simply should have said, we will pass through storage costs.”

“Increasingly what is happening is that the most progressive of the CIOs and the chief data officers What they want is independence with respect to vendors, including Snowflake. So they want their storage, their data to be stored in vendor-neutral formats, in o…”

“That's part of what made me decide that I'd be happy spending five or 10 years at this place.”

“We run a model garden inside each of these deployments, and we offer a set of products on top of it.”

“We got priced out.”

“Power BI is quite good. And it's essentially part of the office offering. And so I've been skeptical of saying that we can just compete in BI with a new paid product at scale when the bar is high quality, no price.”

“There is a little bit of a hierarchy of needs when it comes to collaboration. You can share raw data, it creates some value. On the other hand, if you can share a predictive machine learning model, That uses the data to predict something, you will likely get m…”

“You know, from my historical perspective on the industry, I think lots of capability that sits outside those things will fall inside those things. Whether it's data governments, whether it's different ETL, whether it's different conversions, these things are g…”