Google BigQuery, every mention
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every year anyone Jordan Tigani 14Matt Turck 13Ben Rogojan (Seattle Data Guy) 4Mark Grover 3Julien Le Dem 3Mike Palmer 2George Fraser 2Evan Kaplan 2Ashley Kramer 2Alex Dean 2
Verbatim, from the transcripts: the passages where Google BigQuery comes up
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.
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.
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
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 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
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 39:29 Matt Turck BigQuery?
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…
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.
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
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,…
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: 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.
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
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,
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
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.