Databricks, every mention

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Verbatim, from the transcripts: the passages where Databricks comes up

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▶ 25:46 Ofir Ehrlich You've seen companies like Databricks, you know, one of the most incredible companies on the planet, in my opinion. 4 times in the scene

▶ 21:04 Andrew Feldman That this was never a thing before OpenAI and Anthropic and, uh, maybe, uh, Databricks.

▶ 13:02 Emil Michael I had some like Databricks engineers, former Databricks engineers, former Meta engineers, former AWS people, Tiger team, 60 days, 2 times in the scene

▶ 19:46 Sridhar Ramaswamy There's Databricks.
▶ 28:19 Sridhar Ramaswamy Among the earliest places where this went to work was in our relationship with Microsoft, which was okay, but not that great because they had a one P relationship with Databricks.

▶ 10:45 Jesse Zhang Databricks, if you're thinking about a bit more, like, it's just, like, companies that have just always executed well. 2 times in the scene
▶ 26:38 Jesse Zhang Um, in the same way that I'm currently talking about, like, the Databricks and the ramps of the world, like, we want to build, you know, a business like that where we're just, like, doing everything, like, super sharp and, uh, very… 2 times in the scene

▶ 42:46 Parker Conrad I mean, certainly I think you look at like Databricks versus Snowflake and it, it seems like Databricks has had some advantages by not being public, um, you know, in, in that, in that fight. 2 times in the scene

▶ 12:15 Jared Quincy Davis So if like hadn't yet scaled, you know, you know, Databricks hadn't yet scaled. 2 times in the scene

▶ 15:25 Elad Gil I guess the other thing on the sort of data compute platform side while we're talking about all these different platforms is, um, Snowflake and Databricks and sort of that layer of companies.

▶ 0:26 Elad Gil There's Claude, Grok, Databricks, a variety of folks who've launched things. 3 times in the scene
▶ 5:08 Sarah Guo Um, challenging for most independent players, but it's, it's a directly opposing view to, um, the, the, for example, the Databricks narrative today.

▶ 19:23 Elad Gil Um, I remember talking with, uh, I think it was Ollie from Databricks

▶ 10:02 Clara Shih In their organization, and of course, the Fortune 500, every one of them has multiple different ones, and so one thing that's really exciting for us is we just announced and rolled out zero ETL data sharing partnership integrations with…

▶ 21:38 Kevin Scott Like I was just playing around yesterday with, uh, that twelve billion parameter, uh, Dolly two point O model from data bricks, uh, which like runs quite nicely on a single machine and like, yeah, I'm still enough of a dork to like love…

▶ 0:09 Sarah Guo Can you, um, start by telling us a little bit about the origins of Databricks and, um, how it led you to where you are today? 6 times in the scene
▶ 3:37 Matei Zaharia So, um, I'm a computer science professor there, so I split my time between that and Databricks.
▶ 4:32 Elad Gil How did, um, Databricks decide to start working on Dolly?
▶ 13:05 Elad Gil And then, um, are there other things that you can share that you all have, uh, coming in the background at Databricks or at your Stanford lab in terms of this more general area of language models? 5 times in the scene
▶ 18:56 Sarah Guo Um, maybe if we think a little bit, just cause you have great visibility from your, your role at Databricks, like what other tooling do companies need, like your enterprise customers or just generally, um, enterprises need to make use of… 3 times in the scene

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