Databricks, every mention
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every year anyone Matt Turck 107Ali Ghodsi 16Ben Rogojan (Seattle Data Guy) 12Tomasz Tunguz 10Mike Palmer 7Justin Borgman 5Florian Douetteau 5Ion Stoica 4Alex Dean 4Jack Berkowitz 3
Verbatim, from the transcripts: the passages where Databricks comes up
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 10:37 Evan Kaplan And I, listening to Mike's talk, well, we still use Excel from 1985, so, so there was a little bit of humble pie for us to eat, because it was pretty clear that the language, and this is, this is right around the time of the, we really… 2 times in the scene
- ▶ 16:33 Matt Turck Uh, so that, and then, uh, for the sort of Databricks, Lakehouse, uh, iceberg kind of world, um, so first of all, like, I saw that you guys coined your own acronym. 2 times in the scene
- ▶ 20:22 Evan Kaplan And we're now moving it to Snowflake or Databricks and do it.
Dashboards Are Dead: Sigma’s BI Revolution for Trillion-Row Data
- ▶ 0:26 Matt Turck Now, Sigma is reinventing BI by enabling anyone with spreadsheet skills to analyze massive amounts of data in Snowflake or Databricks in seconds.
- ▶ 11:28 Mike Palmer So for example, uh, in our world, we needed a Snowflake, a Databricks, a BigQuery, a Redshift,
- ▶ 16:37 Mike Palmer So one of the things that changed, obviously, with the Databricks and the Snowflakes and the Big Queries and so forth is that the data volumes got huge. 4 times in the scene
- ▶ 31:07 Mike Palmer Uh, but I do think that the other ones, like the Databricks of the world, the Snowflakes of the world, Google made an attempt at this, but I think that Google, I think Google missed the zeitgeist.
- ▶ 34:43 Mike Palmer Snowflake and Databricks are frustrated by the cost and complexity of moving data into their warehouses.
Box’s Big AI Leap: Aaron Levie on Agents & the Future of Work
- ▶ 46:16 Matt Turck And we were talking about Snowflake a minute ago, and they did their, you know, Arctic model, and, you know, Databricks did, like, PJRX.
Snowflake CEO on Winning the AI Arms Race
- ▶ 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.
- ▶ 1:08:35 Matt Turck Uh, regardless of space seems to be hitting up, or Confluent is cozying up with, um, Databricks.
- ▶ 1:19:45 Matt Turck It sounds like Databricks sort of did the same thing, right? 2 times in the scene
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 4:54 Justin Borgman On the analytical side, you'd think of, uh, Teradata, Snowflake, Databricks, and Starburst.
- ▶ 17:37 Matt Turck Uh, but in the cloud data warehouses, obviously you have, uh, Snowflake, uh, Redshift, uh, Google BigQuery, uh, in the world of DataLex, uh, who, originally Hadoop, at some point, early Databricks. 2 times in the scene
- ▶ 19:36 Justin Borgman 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.
- ▶ 20:14 Justin Borgman Number one, we're one of the only hybrid players, so Databricks and Snowflake are cloud only, so if you happen to have data on-prem, uh, we're pretty much your only bet, and you know, it just so happens that that turns out to be most of… 2 times in the scene
- ▶ 41:30 Justin Borgman Um, and actually what's interesting is that first architecture was actually fairly similar to Databricks' architecture
- ▶ 47:39 Matt Turck Was that the acquisition of Tabular by Databricks? 8 times in the scene
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 0:46 Ben Rogojan (Seattle Data Guy) Databricks had bought Tabular.
- ▶ 6:13 Ben Rogojan (Seattle Data Guy) Uh, yesterday I accidentally, like when I put out my newsletter, uh, I accidentally said that Databricks had bought tabular, uh, not tabular. 2 times in the scene
- ▶ 14:18 Ben Rogojan (Seattle Data Guy) One team's gonna be using Databricks.
- ▶ 31:23 Ben Rogojan (Seattle Data Guy) I don't know if you've seen his content, but he does a lot of Databricks content, and we were kind of going through and testing out Databricks Genie.
- ▶ 31:23 Ben Rogojan (Seattle Data Guy) I don't know if you've seen his content, but he does a lot of Databricks content, and we were kind of going through and testing out Databricks Genie. 2 times in the scene
- ▶ 37:24 Matt Turck Do you view, uh, you know, the hyperscaler, um, you know, whatever Microsoft Fabric or being able to provide, or Databricks trying to provide all the things for all people? 9 times in the scene
- ▶ 42:05 Matt Turck You know, that, uh, I saw you, you, uh, write in one of your, one of your posts, uh, which I thought was super interesting, especially, like, in contrast to, like, this whole, you know, titanic fight between Databricks and, and, and… 2 times in the scene
- ▶ 47:55 Ben Rogojan (Seattle Data Guy) Do we need a Databricks?
- ▶ 49:14 Ben Rogojan (Seattle Data Guy) Similar with BigQuery, I think Databricks makes sense to me still more from an ML standpoint. 3 times in the scene
- ▶ 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,…
Dataiku's Secret to Scaling AI in Global Enterprises | Florian Douetteau, CEO, Dataiku
- ▶ 48:50 Florian Douetteau Amazon or Databricks or Snowflake provide new technologies that we can integrate in order to further push the bar of what's simple to do in the enterprise, and that's our focus.
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 16:59 Nathan Benaich Probably Databricks, and Databricks and Snowflake, probably more Databricks will be like this, um, this like enabler of, of open source. 2 times in the scene
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 39:28 Aman Kabeer It's Snowflake and Databricks, I think both released models at some point over the past year as well.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 2:00 Jordan Tigani The, you know, the sort of Databricks versus Snowflake, kind of, they had this benchmarking war, and, um, and everybody is focused on, like, the, the, the, you know, the war between Databricks and Snowflake, and to me, the biggest thing… 2 times in the scene
- ▶ 8:45 Matt Turck Uh, if you already have, uh, you know, BigQuery in place or Snowflake or Databricks or like the whole, like, big data, uh, kind of infrastructure or modern data stack, whatever you call it,
- ▶ 45:23 Matt Turck Tabular by Databricks and the rise precisely of those open data format.
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 5:39 Ali Dasdan You can go to, you know, AWS, uh, Databricks, 2 times in the scene
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 22:46 Sharon Zhou Similar to, you can think of as a Databricks or Snowflake model, um, of compute, like being able to manage that compute.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
- ▶ 41:19 Matt Turck Horizontal infrastructure layer and that's the Databricks and the snowflakes and, and there's a horizontal application layer and that's the Salesforce and the HubSpot and so on and so forth.
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 0:32 Tomasz Tunguz I think you'll see, like, Snowflake and Databricks being really inquisitive.
- ▶ 35:18 Tomasz Tunguz Snowflake and Databricks is a dominant battle here, and Snowflake clearly with Sridhar and with Barish running AI, you can see like the pace of innovation coming out of that business now. 7 times in the scene
- ▶ 38:35 Tomasz Tunguz Well, you know, Databricks, the SQL products, two hundred million in revenue doubling.
- ▶ 38:35 Tomasz Tunguz Well, you know, Databricks, the SQL products, two hundred million in revenue doubling.
- ▶ 46:18 Matt Turck You know, you said should be acquired by Data Break of the Snowflake.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 0:16 Matt Turck Vast is building the data layer for Generative AI, a huge market opportunity, which puts it in direct competition with Snowflake and Databricks.
- ▶ 6:43 Matt Turck Why did you, because, um, and maybe we can get into this at the same time, you know, there's a number of other companies that are hoping to be the software data layer for generative AI, like that's the Databricks of the world, there's the…
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 7:18 Matt Turck Like, the, the data breaks, uh, in the world in, in, uh, in particular.
- ▶ 44:12 Matt Turck Like houses, like Databricks, although all of this has been converging. 3 times in the scene
2024 will be the year of ENTERPRISE AI | Florian Douetteau, CEO of Dataiku
- ▶ 0:28 Florian Douetteau AI and ML Partner for the year for Databricks, Snowflake, AWS.
- ▶ 22:58 Florian Douetteau And so we are part of this movement where typically our customers would also set up cloud data warehouses or data lake, such as Snowflake and Databricks, and we would be a layer on top, helping the overall orchestration and ease of use by… 3 times in the scene
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 15:56 Matt Turck So you mentioned, you know, we're not going to all go back to Microsoft, but, um, you know, if you look at players and like the, the key, uh, sort of central repositories like the, you know, snowflakes and the data breaks, like that, there… 3 times in the scene
- ▶ 33:38 Tristan Handy Both Databricks and Snowflake and all the hyperscaler offerings are going to do a great job integrating AI because then it means that it won't just be
Custom LLMs at Scale: Lamini CEO Sharon Zhou’s Playbook for Enterprise AI
- ▶ 11:04 Sharon Zhou Maybe that's with some of our partners, like Snowflake, Databricks, and Nutanix.
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 11:31 Aravind Srinivas And those mature companies have most of their data in like Snowflake or Databricks. 2 times in the scene
The Single Platform for Everyday AI - Fireside Chat with Florian Douetteau (Dataiku) & Matt Turck
- ▶ 1:00 Matt Turck Uh, and also, uh, AI part of the year by, uh, Databricks.
- ▶ 21:50 Matt Turck Uh, before we, we jump into general AI, quick, quick segue through the Databricks and Snowflake relationship. 2 times in the scene
Entering the Data-Centric Era of Foundation Models with Alex Ratner, Co-Founder & CEO of Snorkel AI
- ▶ 8:50 Alex Ratner Dali out of Databricks is a clone of a cloning project, uh, which is fun.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 10:51 Tasso Argyros And a lot of it revolves around the data lake or the data warehouse, whether it's a snowflake, Redshift, Databricks, um, and essentially what you're getting here in the middle is a customer data activation layer, which acts as a bridge to…
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 10:51 Dimitri Sirota It's searchable, um, but the data still stays in Snowflake, and Databricks, and in Hadoop, and SMB, NFS, CIFS, whatever that is.
Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
- ▶ 18:44 Jack Berkowitz Uh, but, but on top of that, we, we build layers, so we use some of the Amazon data systems, we also use Databricks, we use Snowflake, and we use a few other vendors in terms of data lineage and security on top of those. 3 times in the scene
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 15:39 Matt Turck And even if they want to be all those things, they're, they're going to be competing, uh, for like different features with different people, like the Firebolt, uh, for interactive queries, and, uh, Databricks, and, you know, a bunch of…
- ▶ 17:29 Benn Stancil You want to centralize it into your central warehouse, be it Snowflake or Databricks or BigQuery or whatever. 2 times in the scene
- ▶ 39:42 unnamed speaker In other words, Snowflake, you know, acquires upstream, Databricks, you know, acquires upstream, et cetera, et cetera.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 2:20 Viraj Parekh Um, one thing I just want to point out about this, right, is 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…
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 20:17 Gleb Mezhanskiy The way we do this is by performing, doing log analysis, so we would, let's say, if using Snowflake or Databricks, we would connect to Snowflake, we would download the logs of all the SQL statements that were executed, and then we are… 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 21:52 Tristan Handy It's executing on Databricks.
Unlocking Data Observability with Monte Carlo's Barr Moses
- ▶ 4:49 Barr Moses Um, Databricks with eight hundred million in accelerating.
Fireside Chat: Felix Van de Maele (Co-Founder & CEO, Collibra) with Matt Turck (Partner, FirstMark)
- ▶ 14:22 Felix Van de Maele If you're purely technical metadata within BigQuery or Snowflake or Databricks and so on.
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 14:42 Aaron Katz And I look at what Rafauna has been able to do or, or Databricks, and I'm really impressed with the models that they've said in terms of how, how can you work collaboratively with, with large, um, CSPs.
Top 10 Trends in AI, Machine Learning and Data for 2022
- ▶ 8:17 Matt Turck So with the snowflakes of the world, data breaks, and then the, the, you know, the hyperscaler cloud, uh, players, it feels like we can finally, um, store, uh, and process big data, which has unleashed lots of different things.
- ▶ 10:05 Matt Turck So certainly like the snowflakes of the world and the data bricks of the, of the world, um, are, uh, doing, uh, a lot of things, have a lot of capabilities, and there's a whole ecosystem of companies that are centering around them. 2 times in the scene
- ▶ 13:37 unnamed speaker If you look at the bottom, you'll see, you know, monster rounds to companies like Databricks, which raised 1.6 billion at thirty-six billion, or at a thirty-eight billion dollar valuation, uh, in addition to, you know, Salonis, uh, one…
- ▶ 31:58 Matt Turck And that, that sort of led to the whole Snowflake versus Databricks kind of world. 8 times in the scene
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 0:08 Matt Turck Well, I'd love to, uh, take a quick, uh, trip down memory lane and go back to the, the origin story of, um, of Databricks.
- ▶ 5:07 Matt Turck Peculiarities of the founding story of, of Databricks is that, um, you guys have seven or eight co-founders, which is very unusual in, in retrospect to what were the pros and the cons of having a large group like this? 3 times in the scene
- ▶ 7:48 Ali Ghodsi So those were definitely very special years where it's a lot of experimentation to figure out what the right model for Databricks is. 2 times in the scene
- ▶ 11:04 Matt Turck So one of the fascinating things to observe, uh, from, from a far data breaks has, has been the, the, the pace at which you guys have released new products and morphed it all into a platform. 3 times in the scene
- ▶ 20:37 Matt Turck There's a lot of industry chatter about, like, the big, you know, clash, upcoming clash between Snowflake and Databricks as, you know, two gigantic companies in the space. 2 times in the scene
- ▶ 22:33 Matt Turck Can you double click on SQL analytics, which is the most recent major release and major product addition, and including how you work with the existing ecosystem of BI solutions? 2 times in the scene
- ▶ 22:58 Ali Ghodsi So in the past, when someone wanted to do SQL or warehousing on Databricks, we would offer them Spark. 2 times in the scene
- ▶ 25:57 Ali Ghodsi Yeah, this is deliberate in how we built Databricks from the beginning. 3 times in the scene
- ▶ 32:16 Ali Ghodsi Databricks is a hybrid model, so there's a top-down and a bottom-up at the same time combined. 4 times in the scene
- ▶ 32:54 Ali Ghodsi So Databricks Community Edition is a completely free, use it all you want, never pay us funnel, where you can use all of Databricks, but you only get like a slice of a small machine. 2 times in the scene
- ▶ 39:41 Matt Turck Uh, where, a question from Danny, where does Databricks fit in, in the emerging data mesh architecture and productization of data? 8 times in the scene
- ▶ 42:36 Matt Turck Uh, sounds like Donny is a customer of Databricks and says there was a huge reason why Databricks was a value add for our machine learning engineers to become more self-service scheduled jobs. 3 times in the scene
- ▶ 44:56 Ali Ghodsi Uh, and you know, a lot of people ask about this, but the way I think about it is Databricks is on a long journey. 3 times in the scene
Fireside Chat: Florian Douetteau (Founder & CEO, Dataiku) with Matt Turck (Partner, FirstMark)
- ▶ 14:11 Matt Turck Uh, you know, there are names that folks may know, like, uh, Databricks or DataRobot. 2 times in the scene
Fireside Chat: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 17:24 Dev Ittycheria Are you going after Databricks, you know, or Dremio or other companies like that?
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 16:10 Dave Burgess We use MLflow, which is a, from Databricks, is a registry of machine learning models.
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 21:32 Matt Turck How is our leverage or compared with Databricks product stack, Delta format, Delta engine? 4 times in the scene
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 7:24 Alok Gupta We use Python and Databricks to, uh, and Spark to pull data in, build models.
- ▶ 21:12 Matt Turck Am I understanding correctly that instead of running Databricks on something like S-III, you are running on Snowflake. 5 times in the scene
Fireside Chat Part II: Ben Horowitz (a16z) on Culture with Matt Turck (FirstMark) at Data Driven NYC
- ▶ 29:09 Ben Horowitz Um, and then you develop it over time, so there's not that much to evaluate when they, you know, when Databricks came to me, like I invested the day they incorporated the company, and so they didn't have any culture, they didn't have any…
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 17:54 unnamed speaker I was wondering, given that Spark is also separated from storage, um, how does Starburst stay dependent with companies like Databricks? 3 times in the scene
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 3:31 Dillon Erb Databricks has one.
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 52:57 Chris Dixon a company called Databricks, which is, uh, built around Spark, which is essentially, you know, 2 times in the scene
A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark)
- ▶ 15:06 Matt Turck Um, we had Florin from Mesosphere, uh, we had the, uh, the CEO of Databricks, we had, like, plenty of people, all those projects that came out of AMP. 6 times in the scene
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 11:16 Stefan Groschupf Um, but, um, I know that our friends at Cloudera and Databricks and also Houghton Works are heavily working on actually getting Spark production ready.
Joseph Essas, OpenTable // Mining Diner Talk (Hosted by FirstMark Capital)
- ▶ 2:51 Joseph Essas Um, but that's generally, and we use Databricks infrastructure to run Spark, so that's generally what we do in our, in our data science group.
Ion Stoica, Databricks // Creating Apache Spark // Data Driven NYC (FirstMark Capital)
- ▶ 0:33 Matt Turck Uh, and you are also the co-founder and CEO of Databricks, which is, uh, the hosted cloud version of Spark, uh, and the company that, uh, I guess in its few months of existence has already raised, uh, something like forty seven million, I… 2 times in the scene
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