Amazon Web Services, every mention

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Verbatim, from the transcripts: the passages where Amazon Web Services comes up

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▶ 12:08 George Sivulka If you look at AWS's offerings, every single offering in that big menu is a different startup altogether with its own GM.

▶ 5:01 Benedict Evans Or, you know, it's just an AWS wrapper.
▶ 29:10 Benedict Evans Um, the, the, the analogy that's been floating around, I think, is, is to, is to compare this with AWS, in the sense that AWS was a sort of an order of magnitude change in how easy you could get a startup out of the door.
▶ 40:35 Benedict Evans And it's interesting, you look at or listen to the conference calls, you know, and I'm sure you've done the chart, you've missed the chart of the CapEx, where like, Google, Meta, um, AWS, not Amazon overall, AWS only, and, um, and, and, um, 7 times in the scene
▶ 42:41 Matt Turck So we, we, uh, in our little, uh, tour, so we talked about, um, Apple, we talked about Google, we talked about AWS, we, we touched upon Meta, uh, a few minutes ago.

▶ 1:04 Matt Turck And the strange but exciting day AWS moved from competitor to partner.

▶ 16:43 Mike Palmer One of the things that I knew before, I was working in infrastructure, and one of the things I knew before joining Sigma was that the price per terabyte of storing data in AWS for five years in a row was -65%.
▶ 32:45 Mike Palmer So, I mean, I, I don't think that happens in AWS because AWS has never been good at, uh, end user products.

▶ 24:30 Aaron Levie Um, and Amazon web services didn't launch until like 2 times in the scene

▶ 19:57 Sridhar Ramaswamy It's an Apache project with a set of contributors that come from many places, from Netflix, from Snowflake, from Databricks, from AWS, but it is vendor neutral.
▶ 23:40 Sridhar Ramaswamy Snowflake essentially runs in what we call deployments, which you can think as a point of presence in every major data center that AWS and Azure and GCP have.
▶ 1:18:34 Sridhar Ramaswamy At the end of the day, we are a smallish public company compared to the likes of Google and AWS and Microsoft, or even OpenAI in terms of how much money we are able to put for things like model training.

▶ 49:27 Matt Turck I mean, on there, you, you know, this, uh, you know, uh, certainly better than me, but on there, like a bunch of like iceberg, uh, uh, contributors, like AWS.

▶ 21:29 Ben Rogojan (Seattle Data Guy) Um, also getting familiar with interacting with cloud, or the cloud, however you want to call it, you know, AWS. 2 times in the scene
▶ 39:26 Ben Rogojan (Seattle Data Guy) Like AWS is trying to do their own version.
▶ 50:48 Ben Rogojan (Seattle Data Guy) Um, so I think in those places, you're going to see people pick other tools, or maybe somehow have five different instances of, uh, iceberg, uh, or, you know, maybe they've, one's using Databricks, one's using Snowflake, one's using AWS,…

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