Google BigQuery, every mention
93 scenes across 16 shows · ← back to Google BigQuery
tap a year for its mentions
the MAD Podcast 63
the Official SaaStr Podcast 11
Lenny's Podcast 9
Top Founders 5
In Depth 4
Latent Space 4
20VC 3
Acquired 38 more shows
every year every show the MAD Podcast 63 the Official SaaStr Podcast 11 Lenny's Podcast 9 Top Founders 5 In Depth 4 Latent Space 4 Acquired 3 
A Product Market Fit Show 3 20VC 3 
the Neon Show 2 
Starter Story 2 
TBPN 2 
the Y Combinator Startup Podcast 1 
Mixergy 1 
No Priors 1 
Big Technology 1
Verbatim, from the transcripts: passages where Google BigQuery comes up on the MAD Podcast, the Official SaaStr Podcast, Lenny's Podcast, Top Founders, In Depth
What Agents That Actually Work Look Like Right Now with Replit's CEO and Founder
- ▶ 11:33 Amjad Masad But because data at Replit is so big right now, we have terabytes of data across, you know, across BigQuery and Databricks and, and all the other things, and all the schemas are different, and so we created this repo that has all the… 2 times in the scene
Feature Differentiation Is Dead. Here's What Actually Wins Now with Lovable's Elena Verna
- ▶ 12:36 Elena Verna So we use the word connectors in our product and you can connect it to BigQuery or Notion or Slack or wherever your data source is actually coming from, which is what makes it so much more powerful because it's live and it's living,…
I Make $1.7M/Year In The Most Boring Niche Imaginable
How Anthropic's Head of Industries Built an AI-Native Sales Org from Scratch
- ▶ 3:25 Eleanor Dorfman We have BigQuery.
Why "Boring" Infrastructure is the Best Path to a $60B Company | Manish Jindal, Cloudflare & Arize
- ▶ 19:27 Manish Jindal I mean, like even in my current company, um, all our systems data, like Salesforce, HubSpot, and everything, uh, even Gong data, we actually put into BigQuery, you know, every data, and, and then we have, uh, uh, we have, uh, cursor… 2 times in the scene
I Built a $100K/Month Android App
- ▶ 18:13 unnamed speaker For our backend, we use BigQuery, GCP, Google Play.
He raised $150M with $0 revenue. Then hit $1M ARR in 4 months. | Michel Tricot, Co-Founder of Air... · PMF Show
- ▶ 2:53 Michel Tricot So it can be Snowflake, BigQuery, Redshift, you name it.
Google’s AI Comeback, Enterprise Agents, The Real Path to AI ROI — W/ Promevo CEO Karthik Kripapuri
- ▶ 10:04 Karthik Kripapuri So that to me is what, you know, the agents that we are building and, uh, you know, sitting on top of Looker or BigQuery, you know, that can action the mundane and gives time back.
He killed a $100K ARR product & pivoted—then raised $375M. | Viraj Parekh, Co-Founder of Astronomer · PMF Show
- ▶ 28:12 Viraj Parekh Hey, yeah, like, I had heard from my former Google colleagues that Airflow is a tool for this, like, I just need my data loaded into BigQuery every day, so I can focus on data science, and I don't want to have to think about that.
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 1:09:59 Emily Glassberg Sands So, I mean, you could just even imagine, like, pulling into BigQuery or whatever.
The antidote to AI fatigue — Answer.ai Solveit
- ▶ 12:40 Jeremy Howard Spin up and learn about with the help of AI, and with the help of experiments, and with the help of iterations, and they're not limited by what SAS APIs you have, and you don't have sudden horrifying bills, because accidentally you ran a…
The ultimate guide to AEO: How to get ChatGPT to recommend your product | Ethan Smith (Graphite)
- ▶ 1:02:15 Ethan Smith You could send a zap of the meeting, put it into BigQuery, and then do Looker on top of that.
#2278 How to build a $15M/year AI company.
- ▶ 10:14 Pavel Dolezal So yes, now we have Redshift, Snowflake, BigQuery, DuckDB, Iceberg, you name it.
Google Part II: Alphabet (Audio) · Acquired
- ▶ 1:32:27 Ben Gilbert And if you already have your own product data, Statsig is warehouse native, so they can plug directly into your existing data in Snowflake or BigQuery, whatever.
Microsoft’s Cloud Outpaces Its AI Growth
- ▶ 6:21 unnamed speaker You could go to, um, Google store in big query.
Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night | Ben Mann
The Jamie Dimon Interview: How JP Morgan Became an $800 Billion Bank · Acquired
- ▶ 54:14 Ben Gilbert Statsig is also warehouse native, so it can plug directly into your existing data in Snowflake, BigQuery, whatever you're using.
He went 7 years with no revenue— then grew to $100M ARR. | Rob Woollen, Co-Founder of Sigma · PMF Show
- ▶ 4:18 Rob Woollen And our key insight was that companies increasingly move a large majority of their data into these large cloud data systems like a Snowflake or a Databricks or Google BigQuery.
Google Part I: Origins of Search. How the Best Business in Human History Happened (Audio) · Acquired
- ▶ 1:38:48 Ben Gilbert Snowflake, BigQuery, whatever.
Quadratic: The AI Spreadsheet
- ▶ 10:34 David Kirkos We're adding BigQuery, um, and we're adding easier support for connecting Neon and Superbase as well.
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 12:17 Evan Kaplan And, and then there are the, you know, there are the fabrics of the world, the redshifts, Athenas, and the big queries, which also have those same dynamics.
- ▶ 17:42 Evan Kaplan Those are the standards that the lake houses are built on and things like Redshift and, and BigQuery.
AI, M&A, and the Future of SaaS: Lessons from Marc Benioff, Salesforce CEO, Co-Founder and Chair
- ▶ 36:17 Marc Benioff So whether it's Databricks or Snowflake, whether it's Shopify, whether it's BigQuery, whether it's
Dashboards Are Dead: Sigma’s BI Revolution for Trillion-Row Data
- ▶ 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.
The Secrets Inside Google Cloud’s Growth with Sarah Kennedy, Vice President Google Cloud Marketing
- ▶ 16:02 Sarah Kennedy The superpowers of Google's infrastructure, even being able to train custom models and using BigQuery for that, and that be your storage layer of your cloud ecosystem.
Bridget Harris breaks down the Prime Intellect deal and the broader sentiment in crypto today.
- ▶ 6:25 John Coogan So, it's basically that that like they have that spanner and big query and like they, they just are so good at, at, at taking some sort of like database and being like,
Sridhar Ramaswamy, CEO @Snowflake: Deepseek is Not a Threat to OpenAI & OpenAI Beats Anthropic|E1258 · 20VC with Harry Stebbings
- ▶ 25:13 Sridhar Ramaswamy Google has, uh, has BigQuery.
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, 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.
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 43:13 Ben Rogojan (Seattle Data Guy) You can use BigQuery.
- ▶ 47:56 Ben Rogojan (Seattle Data Guy) Um, do we need a BigQuery?
- ▶ 49:01 Ben Rogojan (Seattle Data Guy) Snowflake makes it really easy, and I'd say BigQuery does too, but Snowflake makes it really easy. 2 times in the scene
Building a $4B data platform: Inside dbt Labs' unconventional path | Tristan Handy (Founder & CEO)
- ▶ 48:21 Tristan Handy And yes, Redshift and stuff like did exist prior to, and BigQuery did exist prior to twenty-twenty, but none of the platforms were like really ready to scale.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 0:39 Jordan Tigani In BigQuery, we were very, very happy when we got the overhead down to, like, 400 milliseconds.
- ▶ 2:17 Jordan Tigani the database, the, the query sizes they were using was a hundred terabytes, and I remembered back from my time at BigQuery, um, you know, we had some of the, 4 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, 6 times in the scene
- ▶ 19:06 Jordan Tigani Uh, you know, BigQuery and Redshift and, um, and this thing that I'd never heard of called DuckDB. 3 times in the scene
- ▶ 36:19 Jordan Tigani And, you know, we did this in BigQuery, and, you know, ClickHouse does, um, you know, a lot of these, these engines build these, like, hand-coded, vectorized execution engines, because, because there, there are computer instructions that…
- ▶ 49:00 Jordan Tigani And, and it keeps getting better, and they're writing more research papers on, on this, versus if you look at other, other database companies, when I was at BigQuery, we put a college new grad on, on, you know, the CSV, and they worked on…
- ▶ 54:50 Jordan Tigani And so I was part of the team that helped, helped start Google BigQuery. 4 times in the scene
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 15:57 Ali Dasdan Yeah, ZDP is built on Google, BigQuery right now.
How to find — and keep — product-market fit | Bob Moore (Crossbeam, RJMetrics, Stitch Data)
David Cahn: Why Servers, Steel and Power Are the Pillars Powering the Future of AI | E1186 · 20VC with Harry Stebbings
- ▶ 48:46 David Cahn Oh, there's BigQuery.
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 25:48 Aaron Katz Um, 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, uh, and Redshift, and Snowflake, um, either for
How to Sell your Company for $60m (from a Founder who did it)
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 39:29 Matt Turck BigQuery?
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 7:14 Shawn Wang Um, when I think of data space, so I come from, like, you know, Snowflake, BigQuery, um, you know, Fivetra, and everybody, that kind of stuff.
The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini
- ▶ 0:35 Jordan Tigani I helped create Google BigQuery, led them for, led that for almost 10, or as part of it for almost 10 years, uh, before, uh, before starting, starting Mother Duck about a year ago.
No Priors Ep. 43 | With Clara Shih, CEO of Salesforce AI
- ▶ 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…
How to leverage intuition, customer support, and raw effort | Colin Zima (Omni & Looker)
- ▶ 53:49 Colin Zima And this was right at the rise of Redshift BigQuery Snowflake.
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 43:16 Matt Turck Uh, I also read that you have a big query integration, I guess, probably similar to what you did with, with Snowflake, and then a partnership with Amazon, uh, you know, listening to, um, what you described, uh, during this, this…
Lessons on product sense, AI, the first mile experience, and the messy middle | Scott Belsky (Adobe)
- ▶ 32:18 Lenny Rachitsky If you're writing a report on a growth experiment, you can use Rose to do your analysis on data straight from BigQuery or Snowflake.
The ultimate guide to product-led sales | Elena Verna
- ▶ 36:40 Lenny Rachitsky If you're writing a report on a growth experiment, you can use Rose to do your analysis on data straight from BigQuery or Snowflake.
Taxi mafias, cash vaults & 100% MoM growth: The story of SEA’s biggest startup | Kevin Aluwi (Gojek)
- ▶ 4:21 Lenny Rachitsky If you're writing a report on a growth experiment, you can use Rose to do your analysis on data straight from BigQuery or Snowflake.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 6:51 Tasso Argyros If it lives in BigQuery, you do it in BigQuery, wherever it may be.
An inside look at Mixpanel’s product journey | Vijay Iyengar
- ▶ 32:23 Vijay Iyengar One nice thing about the stack, actually, the data stack is that it's all, basically all these feeds information land in our data warehouse, which is BigQuery.
- ▶ 34:00 Vijay Iyengar Like I briefly touched on this where basically all of our data gets EPL out of all the systems we have lands in big query gets joined and modeled and then pushed out via census to all the other tools in our stack.
- ▶ 37:55 Vijay Iyengar So these are, you know, Snowflake, BigQuery, Redshift, and they're really scalable, and they speak the SQL standard, which has led to this explosion of tools that have emerged around them, and make it really easy and cheap to load data…
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Building better roadmaps | Janna Bastow (Mind the Product, ProdPad)
- ▶ 2:29 Lenny Rachitsky With Formsort sort,, anyone can build highly customizable forms, implement complex logic, and send data to destinations like Postgres, BigQuery, and Segment.
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 17:29 Benn Stancil You want to centralize it into your central warehouse, be it Snowflake or Databricks or BigQuery or whatever.
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…
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 13:23 Johnny Graettinger Um, some of the first ones we built were sort of analytics warehouses, like being able to, to maintain views in Snowflake or, uh, BigQuery or Postgres itself.
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 7:56 Tristan Handy ELT is really allowing data analysts to go upstream and do, ah, the, the, the, you know, you, you extract the data from source data systems, you load it into, you know, originally Redshift, but now Snowflake and BigQuery and et cetera, um,…
Why You Should Leave Your FAANG Job · Y Combinator
- ▶ 7:05 Dalton Caldwell So when you start a startup and you have none of it and you're starting from scratch, you're like, wait, what happened to all those tools I was used to using in big table and big query and all, you know, whatever, whatever you had.
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.
Mozart Helps You Clean Your Data, $0 to $750k ARR in 12 Months, $6m Seed
- ▶ 1:42 Peter Fishman Uh, the, the biggest and, and, and baddest being Snowflake, but also, uh, Google BigQuery or, or Amazon Redshift.
$100 Million ARR Pivot: From Platform Product to Vertical Apps With Treasure Data CEO Kazuki Ohta
- ▶ 14:04 Kazuki Ohta And the Google released a new product called BigQuery, which is the cloud-based data processing engine.
- ▶ 40:24 Kazuki Ohta So what we have done is we built some connectors such as Redshift connector or BigQuery connector so that you can still keep using treasure data. 2 times in the scene
Fireside Chat: Mark Grover (Co-Founder & CEO, Stemma) with Matt Turck (Partner, FirstMark)
- ▶ 0:51 Mark Grover Uh, with BigQuery, Snowflake, and other newer data warehouses, making it really easy for you to store tons and tons of data.
- ▶ 5:09 Mark Grover A curated data catalog is a catalog that generates essentially blank wiki pages for your data, and you may have a wiki page for a data set in ClickHouse or in Snowflake or in BigQuery, something like that, and then you may have a blank…
- ▶ 13:03 Mark Grover Or, uh, built-in access control in a system and in a data warehouse system like Snowflake or BigQuery or something like that.
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 18:02 Aaron Katz You've got Redshift, BigQuery, Snowflake.
Beyond Product-led Growth: 7 Lessons Learned in Product-Led Scaling with Dropbox GM Rachel Wolan
- ▶ 14:57 Rachel Wolan Data scientists were able to use the tools they were already used to, like GCP and BigQuery.
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 21:35 Ali Ghodsi Maybe BigQuery would give them a run for their money.
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 12:25 Bindu Reddy So, uh, there is a very sophisticated data engine that has been written, which can process data at scale.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 9:45 Jack Hanlon For a variety of prod systems, we actually transit almost all that stuff over to GCP, and we use TensorFlow and BigQuery for our analytics and our model concerns for a variety of reasons that we could spend all of our time just talking…
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 9:54 Julien Le Dem It was like, before you have all those projects that are interested in metadata, Amundsen, DataHub, Marques, Atlas, that have to build all those integrations with all those projects, whether they're the Sparks, the Pandas, uh, the…
- ▶ 25:03 Julien Le Dem I started to reach out to usually, you know, the household, um, if you think of the big queries and the snowflake, 2 times in the scene
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 15:25 Matt Turck Um, so just to, uh, just to reiterate, um, so, so precisely to this point about, uh, data warehouses, uh, what, what's the status of, uh, the integration, uh, with a Snowflake or BigQuery or others? 2 times in the scene
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 9:33 Matt Turck Why is BigQuery a big deal?
Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
- ▶ 9:43 Ashley Kramer So now fast forward a few years, um, you start to see redshift, big query, snowflake, and people are investing heavily in those. 2 times in the scene
Supermetrics $40m Raise Included Secondary at $200m+ Valuation
- ▶ 10:28 Mikael Thuneberg It's very easy to get all of your marketing data into a data warehouse like Snowflake or Google BigQuery, and then you can run all of your reporting on top of that data warehouse.
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 5:30 George Fraser And then Google BigQuery.
- ▶ 26:02 George Fraser So you, you choose, uh, some database to power whatever you're building, and that might be Snowflake, it might be BigQuery, it might be Redshift,
RJMetrics Founder $4m+ ARR Explains How They Lost To Looker
1669 Weird Way He Gets Customers, $1m in ARR for Data Pipeline Visibility
- ▶ 7:00 Paul Lappas So as companies shift to other data warehouses where they might turn off of us, I see snowflake or a big query.
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 17:24 Ahmed Elsamadisi Like, I don't know if you guys know, but BigQuery was initially a single table, and like, all these different warehouses are designed to be long columnar data, and they handle that really, really well for you. 2 times in the scene
20VC: Matrix's Ilya Sukhar on How The Seed Ecosystem Could Be Optimised, Why The Bar For The Break-Out Series A Has Risen & The Art of Effective Referencing
- ▶ 31:44 Ilya Sukhar Either Redshift, BigQuery, or Snowflake.
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 20:45 Nick Rockwell It also includes something like BigQuery that's just a managed service, and it also includes something like,
$0 to $60M in 2 Years // Bob Moore, Crossbeam (FirstMark's Data Driven NYC)
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 21:07 Matt Turck So there's, you know, Microsoft SQL Data Warehouse, Google BigQuery, IBM Dash GB.