Dbt, every mention
69 scenes across 7 shows · ← back to Dbt
tap a year for its mentions
the MAD Podcast 96
In Depth 48
Lenny's Podcast 26
20VC 6
Top Founders 3
Latent Space 2
the Official SaaStr Podcast 1
every year every show the MAD Podcast 96 In Depth 48 Lenny's Podcast 26 20VC 6 Top Founders 3 Latent Space 2 the Official SaaStr Podcast 1
Verbatim, from the transcripts: passages where Dbt comes up on the MAD Podcast, In Depth, Lenny's Podcast, 20VC, Top Founders
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 1:08:24 Shawn "swyx" Wang We talked about DBT-Fivetran, and you said you didn't have an opinion, but I always thought that, like, data discovery is the important victory, or, like, the, the, the ultimate victory of data catalog people and semantic layer people.
A Technical History of Generative Media
- ▶ 2:01 unnamed speaker Um, yeah, I remember the dbt file when the modern data stack was out.
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 21:57 Ben Rogojan (Seattle Data Guy) You're gonna be like, oh, I want to maybe test out dbt or, um, SQL mesh or something like that for transforms.
- ▶ 37:56 Ben Rogojan (Seattle Data Guy) So they're kind of getting to the point where it's like, okay, now you're getting into this like dbt Airflow-esque space where maybe, yeah, you could be everything.
Building a $4B data platform: Inside dbt Labs' unconventional path | Tristan Handy (Founder & CEO)
- ▶ 0:00 Tristan Handy It was really like a year later when we, we pulled up the chart and we're like, huh, there are now a hundred companies using dbt and we've only worked on a consulting basis with like 20 of them.
- ▶ 2:19 Brett Berson Cut to a few years later, and over a thousand companies are using the dbt tool, with only three engineers supporting the product. 3 times in the scene
- ▶ 18:49 Tristan Handy And so we can talk about the like initial design philosophy around the product if it's interesting, but really DBT started out an internal productivity tool to support the consulting business. 6 times in the scene
- ▶ 21:24 Tristan Handy And he was hacking to, to build the initial versions of this thing. 10 times in the scene
- ▶ 24:18 unnamed speaker And, and we all just kind of interacted together as peers, trying to figure out, like, dbt really allowed you to work in a new way as a data practitioner. 10 times in the scene
- ▶ 27:42 Tristan Handy and we installed anonymous event tracking inside of dbt for the first time ever so that we could just get some idea of not who the people were, but how many of them there were using the product. 5 times in the scene
- ▶ 31:29 Tristan Handy Even when in 2019, we had a thousand companies using dbt, 4 times in the scene
- ▶ 34:01 Brett Berson So what was going on between the hundred customers using dbt and the thousand, which seemed like you changed your mind?
- ▶ 45:14 Tristan Handy The big unlock for us was as people use dbt for longer, the complexity of their code went up and up and up, and it became really a problem for the most sophisticated users. 4 times in the scene
- ▶ 47:04 Tristan Handy I think that there are a lot of humans who have had ideas that were very similar to the idea for dbt. 2 times in the scene
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 44:03 Jordan Tigani Uh, and then maybe the fourth would be kind of the orchestrator, um, and that would be sort of dbt. 3 times in the scene
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 16:21 Matt Turck Are you a DPD shop?
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 35:01 Tomasz Tunguz Within the database, let's call it like dbt, or you move into the ingestion layer, what happens there?
- ▶ 49:26 Tomasz Tunguz DBTs, uh, and the Zbicos in, in, in the center of the, and then you need the BI vendors.
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 5:49 Tristan Handy When people started using the term modern data stack, there was a there there, like fivetran, dbt, mode, looker, et cetera.
- ▶ 25:58 Tristan Handy There are just some pretty straightforward unlocks on how to make authoring dbt code way more efficient. 2 times in the scene
- ▶ 34:18 Tristan Handy We were starting to see companies deploying dbt at a scale and complexity that previously had not happened. 4 times in the scene
- ▶ 39:04 Tristan Handy Um, it, it historically has been almost a religious topic in the dbt community, but I think the thing is like,
- ▶ 44:29 Matt Turck One really interesting thing that, um, DBD has done very successfully is this transition from, um, an open source community driven kind of project to, um,
How to leverage intuition, customer support, and raw effort | Colin Zima (Omni & Looker)
- ▶ 56:26 Colin Zima And so this idea of a cloud-based data model and doing transformation in SQL via something like DBT, there was this product positioning that had sort of adopted a lot of the ideas from Looker. 2 times in the scene
The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway)
- ▶ 34:12 Austin Hay Culture, and you are cutting edge, and you're going to do a bunch of modeling in dbt, and you already have Snowflake, you should move towards a model of using a reverse ETL.
Startup to Industry Standard: Lukas Biewald Explains How W&B Scaled MLOps for OpenAI, NVIDIA & More
- ▶ 46:51 Lukas Biewald Um, I think, uh, dbt boy, I wish I made that, you know, that was a good idea.
M&A, competition, pricing, and investing | Julia Schottenstein (dbt Labs)
- ▶ 20:27 Lenny Rachitsky It might be a good time to just chat about dbt and the success the company's had. 18 times in the scene
- ▶ 29:39 Lenny Rachitsky So some part of dbt is open source and some isn't. 5 times in the scene
- ▶ 34:08 Julia Schottenstein And when we lose a deal, we most often lose it to dbt open source. 2 times in the scene
SaaStr CRO Confidential: Sam Blond + Omni Founder Colin Zima on the Power of Leveraging Your Network
- ▶ 23:11 Colin Zima dbt is this open source project where people write SQL transformation.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 31:17 Matt Housley They would define data engineering to be a very specific technology stack, and so in 2022, you could do this by saying, well, data engineering is really about ingesting data with, I don't know, five-trainer or stitch, and then it's about…
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Tristan Handy: Why The CEO Should Make As Few Decisions As Possible | 20VC #937 · 20VC with Harry Stebbings
- ▶ 8:52 Tristan Handy Um, and we, we built dbt on the side and 4 times in the scene
- ▶ 15:46 Tristan Handy And so what happened in 2019 is that we went from a kind of the dbt community went from a place where kind of the cool kid early adopters hung out to a place where the fortune 500 data people showed up. 2 times in the scene
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 22:22 Matt Turck Uh, but can you, the post on dbt has not come out. 10 times in the scene
- ▶ 38:24 Benn Stancil the data modeling layers people want to use, like, dbt, uh, if they're wanting to use some of the newer stuff, like, transform, for instance, that they've
- ▶ 39:08 unnamed speaker So you were giving like DBT and five trans examples. 4 times in the scene
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 2:10 Viraj Parekh Uh, DBT will usually be some data modeling layer.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 3:55 Gleb Mezhanskiy If you're familiar with modern data stack, DBT Airflow, the general ecosystem, 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 2:08 Tristan Handy I think that there, there are, for anybody in the audience who's used dbt, you've probably gotten the sense that, ah, it's a, it's a little bit of a different product experience than most data products you've, you've used before.
- ▶ 10:26 Matt Turck And obviously a lot of the excitement around dbt from, you know, market and investment respective has been that dbt labs, the company and dbt core, I guess the project has, has, has owned this transformation layer. 2 times in the scene
- ▶ 10:40 Matt Turck Do you want to explain what dbt actually is and what it does? 6 times in the scene
- ▶ 13:40 Tristan Handy And so dbt is an attempt to start like moving us like up this abstraction level. 2 times in the scene
- ▶ 15:55 Matt Turck And, um, so dbt for a long time was, still is, but was originally a, a very popular open source project that you built. 2 times in the scene
- ▶ 19:39 Tristan Handy And so, there's this desire to push that upstream to dbt. 6 times in the scene
- ▶ 23:58 Tristan Handy I get the impression that, that dbt is pushing the idea of, of SQL first when you think about how you write your data transformations, which, which feels at odds with trying to build abstraction layers on top of SQL, because with dbt,… 2 times in the scene
Revenue Recognition SaaS Hits $500k ARR, Raised $4m at $20m Valuation with 30 Customers
- ▶ 18:09 Ali Dalarup So it's like a, it's a competitor to DBT.
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 3:15 Aaron Katz So obviously things like Kafka and DBT and Kinesis,
- ▶ 21:00 Aaron Katz Data transformation with dbt, you know, a much more seamless experience than it is today.
Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
- ▶ 6:27 DeVaris Brown We can then transform that data in real time, so you don't necessarily have to worry about, you know, getting it to a data warehouse, um, and doing your transformations there with, like, DBT or something.
- ▶ 12:44 DeVaris Brown Just imagine, like, the workflow now, right, which is before I would, you know, point things either to a data lake or to a data warehouse, I would run some aggregations with dbt, put that into a, to a format where now a platform engineer…
- ▶ 23:25 DeVaris Brown I, uh, I would say, I mean, obviously everybody loves dbt. 2 times in the scene
Fireside Chat: Nick Schrock (Founder & CEO, Elementl) with Matt Turck (Partner, FirstMark)
- ▶ 16:03 Nick Schrock We need something like dbt over the, over the warehouse and maybe a so-called reverse ETL or operational analytics tool to jam that back. 2 times in the scene
- ▶ 21:38 Matt Turck Integrations with dbt with, uh, great expectations, uh, that we're going to be going to speak with, you know, in a few minutes, uh, what, what's next on the roadmap for the next, uh, you know, year or so?
- ▶ 25:05 Nick Schrock Um, present company excluded, um, I think I'll give a, uh, uh, probably a common answer, which is, you know, dbt is really taking over, um, a big part of the stack, and I've known that team since 2018, when I, they gave a conference talk,… 2 times in the scene
Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
- ▶ 19:34 Matt Turck You, uh, just announced a partnership with, um, DBT and we had, uh, uh, Tristan, the CEO of Fishtown Analytics, the company behind, uh, DBT, speak at this event, um, uh, what, two, three months ago, uh, now. 2 times in the scene
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 7:35 Julien Le Dem You know, so I talked to Wes, uh, obviously, uh, we like spark contributors, um, GBT and all the, the air flow and all the very, um, popular frameworks to schedule and process data.
- ▶ 24:53 Julien Le Dem Like, so the people and the project that have been involved in this data world, so we, like, there's lots of interest from dbt, for example. 2 times in the scene
Mode Grows 95% to $19m ARR, Turning Analysis Into Superhero's
- ▶ 11:00 Derek Steer So, so this is, the company that does this really well is Fishtown, uh, the makers of DBT. 2 times in the scene
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 8:12 Tristan Handy Um, so that that's kind of how we slice, you know, today the dbt focused stack, uh, can do that former thing and it can do it extremely well.
- ▶ 14:21 Matt Turck So maybe Tristan, starting with you, um, maybe talk about, um, you know, DBT and I guess the evolution of ETL to ELT and where, where that fits in, in a, in a data warehouse centric world.
- ▶ 19:58 Matt Turck And maybe a word on dbt 2 times in the scene
- ▶ 21:32 Matt Turck And, uh, just yeah, word on, on DBT. 4 times in the scene
- ▶ 23:33 Jeremiah Lowin And so I think that one of the things, certainly that we feel at Prefect and interesting sounds very much like you did with dbt, um, at Fishtown is we were solving a problem that you had that, that I had my background, uh, is as a data…
- ▶ 27:54 Jeremiah Lowin I could do something like, like dbt to make sure that I'm doing something with best practice or getting out there.
- ▶ 40:31 Jeremiah Lowin One of the things that we have tried to do at Prefect and we, uh, at Buyer extraordinarily what's, what's happening in the DBT world here is we've tried to use the fact that we seem to have built something people truly enjoy.
- ▶ 43:55 unnamed speaker Um, do you have advice about using dbt with tools like look ml and cube JS that also do in warehouse transformations, but are geared towards the last mile of modeling for analytics consumers? 4 times in the scene
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 23:28 George Fraser DBT, which is an open source community. 5 times in the scene
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 2:52 Ahmed Elsamadisi We use Luigi, switch dbt, then Airflow, and then ended up building our own solution to handle our dependencies.