Google Cloud, every mention
89 scenes, the whole family · ← back to Google Cloud
tap a year for its mentions
every year anyone Daniel Chia 17Spencer Kimball 14Nick Rockwell 12Matt Turck 11Amr Awadallah 7Ali Dasdan 5Aaron Katz 5Eliot Horowitz 3Anant Bhardwaj 3Solmaz Shahalizadeh 2
Verbatim, from the transcripts: the passages where Google Cloud comes up
Cloudflare CEO: The Internet's Business Model Is Dead
- ▶ 12:54 Matthew Prince We, um, you know, we're, we're, we're sort of the next generation, um, sort of AWS or, or Google cloud where we're, we've rethought how that works.
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 3:17 Matt Turck Not Windows, but if you think of the oligopoly of AWS, Azure, and GCP, those are largely undifferentiated businesses that in, uh, because of the market size seem to be doing quite well. 2 times in the scene
Mistral AI vs. Silicon Valley: The Rise of Sovereign AI
- ▶ 9:45 Timothée LeCroix Integrated within Google's Vertex, Amazon Bedrock, and Azure AI Studio, and that is the choice that we've made.
Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
- ▶ 39:40 Dylan Patel And then, you know, vertex, deep minds, uh, models at Google Gemini. 2 times in the scene
Snowflake CEO on Winning the AI Arms Race
- ▶ 23:40 Sridhar Ramaswamy Snowflake essentially runs in what we call deployments, which you can think as a point of presence in every major data center that AWS and Azure and GCP have.
From Selfie to Studio: Captions CEO on AI Video for 10M Creators
- ▶ 48:15 Gaurav Misra So Google Cloud is what we use 2 times in the scene
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 21:36 Ben Rogojan (Seattle Data Guy) GCP I think are always a good place to start. 2 times in the scene
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 4:05 Erik Bernhardsson Like AWS, GCP, Azure, etc.
- ▶ 18:14 Erik Bernhardsson We use AWS, we use GCP, we use Oracle.
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 5:46 Ali Dasdan So it's an API and you can get through API, you can get through as a file, or you can get, it is ready to go in the marketplaces for these companies, Databricks and Snowflake and GCP and AWS, and it's ready to merge for you.
- ▶ 9:10 Ali Dasdan We are using both, uh, Google Cloud as well as Amazon Cloud.
- ▶ 16:26 Ali Dasdan All these connections are there that we are extracting out of that, and that is done through, you know, different technologies, you know, either spark code or data flow that GCP has, and all kinds of basic processing.
- ▶ 16:26 Ali Dasdan All these connections are there that we are extracting out of that, and that is done through, you know, different technologies, you know, either spark code or data flow that GCP has, and all kinds of basic processing.
- ▶ 38:40 Ali Dasdan Uh, there's also, as you know, either GC or AWS are providing, uh,
- ▶ 39:57 Matt Turck Is that, is that something that you would consider or you basically a company like you would wait until GCP has the feature?
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 11:30 Aaron Katz And, uh, yeah, we then had to decide what cloud provider we were going to start with and we chose AWS and we then have subsequently deployed on GCP and we'll be deploying on Azure and launching that service in public bait in two weeks on
- ▶ 20:22 Aaron Katz Uh, transactions is how the marketplace activities, uh, through both AWS and GCP and what will be Azure as well, because when we simultaneously release on this cloud service provider, we also release in the marketplace, and that's really…
- ▶ 36:04 Aaron Katz So I was just in Vegas for Google Next.
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 39:25 Tomasz Tunguz Was it GCP Tech Lead?
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 15:33 Matt Turck You could very much argue that, um, the storage layer of an AWS versus a GCP versus an Azure, uh, is entirely not differentiated.
How Glean AI Slashes Vendor Costs: CEO Howard Katzenberg on AI Accounting
- ▶ 7:27 Howard Katzenberg We had to differentiate between Google ads versus like Google workspace versus Google cloud and like all the different taxonomy that exists with that.
Custom LLMs at Scale: Lamini CEO Sharon Zhou’s Playbook for Enterprise AI
- ▶ 1:31 Sharon Zhou I've been doing this for almost, um, a decade, but before my PhD, I, uh, was actually a product manager at Google, um, so machine learning product manager on Google Cloud, uh, and I was enamored with product and user experience, and how I…
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 24:26 Ori Goshen So, uh, with, with Google Cloud, you can basically consume our models through the marketplace and in the future through Vertex.
- ▶ 43:10 Matt Turck So you alluded to, um, you have a partnership with Google, uh, Google Cloud Marketplace.
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:36 Chris Wiggins Then all of that went away, and, um, through a story that we don't have time to go into, uh, we started kicking the tires on GCP, Google Cloud Platform, and at this point we have fast, reliable SQL access via, um, 2 times in the scene
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 0:41 Dimitri Sirota And that requires a way to look across, especially in the cloud, you know, hundreds of possible varieties of data sets from, you know, um, um, document DBs to, I saw your investor in Cockroach to everything that's possible in, uh, AWS,…
- ▶ 7:41 Dimitri Sirota So one thing to understand is while we started cloud native and AWS, we very quickly kind of realized that we needed to make the cloud runnable in GCP and Azure and in a private cloud, but also even in a, in a, uh, legacy data center.
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 5:38 Spencer Kimball Uh, and it didn't have a lot of these sort of schema management tools that help you manage complexity, but that was okay because Google just needed something that would get very, very large, but even two years later, they said, you know… 5 times in the scene
- ▶ 6:03 Spencer Kimball Um, you know, uh, building things internally and also providing on GCP.
- ▶ 8:44 Spencer Kimball It's really around survivability, and that was one of the key things that we, we sought to build into the product from the start, and it was one of the things that motivated Megastore at Google and then Spanner at Google.
- ▶ 14:57 Spencer Kimball So if everyone in here is aware of Snowflake, I mean, they're, they're building on the, the cloud data storage primitives, like S three or Google cloud storage, and that's, that's a huge benefit by having that primitive, that's able,…
- ▶ 49:20 Spencer Kimball So Google didn't replace that system with Spanner, I think for almost 10 years.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 9:53 Matt Housley And in particular, um, Google had this notion, Google Cloud had this notion of a data life cycle.
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 16:14 Benn Stancil They haven't pieced it together yet, but I think, like, that's another place where something like Snowflake comes a little bit under risk if we start to buy data products the same way we buy, like, cloud infrastructure, where if you're… 2 times in the scene
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 10:50 Pete DeJoy We have one in AWS, one in GCP, one in Azure.
- ▶ 21:56 Pete DeJoy You know, we see quite a lot of adoption of Amazon's MWAA service and Google's cloud composer service, and I think, like, that really is the first order threat we see at the moment.
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 0:57 Johnny Graettinger Uh, I've got a, uh, Cloud SQL, a Postgres box running in, uh, Google Cloud Platform.
- ▶ 4:51 Johnny Graettinger We need, like, a service account that we can get from Google Cloud Platform, and we need a spreadsheet ID to know what we're actually materializing into, and we've got to pick a couple of, um, a couple of tables that we're actually going…
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 11:46 Aaron Katz And I, I, we had dinner together five or six years ago in San Francisco, and I watched as he moved to Google and was doing amazing things within Google cloud and more broadly running server lists and developer tooling.
- ▶ 16:04 Aaron Katz A multi-tenant managed service in the cloud, which will inevitably be deployed on a variety of different cloud platforms, whether it's AWS, GCP, Azure, whether we go to China, like I've done in the past and partner with companies like…
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 21:08 Ali Ghodsi Um, you know, I'll start by saying, you know, it's kind of like people make it about zero sum, but if you answer it like this, do you think Google Cloud will eliminate Amazon Cloud and Microsoft Cloud, or do you think, you know, Amazon…
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…
- ▶ 22:49 Matt Turck Folks, um, Mohammed asks, uh, what motivated the move to GCP from AWS to, to the extent you can talk about it?
- ▶ 23:47 Jack Hanlon So we'd really have to love them to make that change GCP with the other tools we built on top of it and things we've built in it, including so much of our ML infrastructure, um, is, is serving as well, but you know, there's significant…
Introducing Kedro
- ▶ 11:39 Kedro Product Manager In most cases, your data catalog could look something like this, where your data is an S three or is your blog storage or Google cloud storage or do file system somewhere.
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 12:50 Nate Stewart And so, unfortunately, with some breakthroughs in computer science, there was the Google Spanner paper that came out, and it said, hey, you can get transactions.
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 10:04 Amr Awadallah Coupled with a marketplace for developers to deploy apps, whether that be internal developers or external developers across any location, whether that be Google's cloud or on-premise or other aspects like the edge.
- ▶ 14:17 Amr Awadallah So most of the cloud systems, Google and the others that, that should not be named right now in this, uh, room, they, they, they now move very quickly towards what's called cloud functions. 2 times in the scene
- ▶ 15:09 Amr Awadallah So this also, so in addition to the concept of Anthos having a platform like Android,
- ▶ 15:33 Amr Awadallah So Google's approach to this, we have what's called Cloud Run. 2 times in the scene
- ▶ 17:29 Matt Turck Um, maybe, uh, zooming out, uh, just for, for a minute, so, uh, Google Clouds or Google GCP has, uh, huge ambitions, right? 3 times in the scene
- ▶ 20:33 Matt Turck It'll be very close to, to your heart, but so one of the, the, the, the key things that, uh, GCP seems to be doing is to play nice with open source. 2 times in the scene
- ▶ 31:42 Amr Awadallah Uh, now our observation when we, as we have been working with our customers on Anthos and the Google Cloud Stack over the last, uh, number of years, is, uh, enterprises are very married to the languages that they choose.
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…
- ▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 0:40 unnamed speaker Uh, turns out that you need to have managers when you, when you grow teams, uh, and I'm fairly happy to be working with a team of really amazing and talented engineers, uh, working on Spanner, uh, which is the main database that Google… 6 times in the scene
- ▶ 1:17 Daniel Chia Um, so just to help you understand where I'm coming from, um, what is Spanner? 3 times in the scene
- ▶ 2:17 Daniel Chia But the really cool thing about Spanner is we use this technology called TrueTime, which allows us to get an estimate of what is the exact accurate time anywhere in the world to assign a unique timestamp to every transaction that Spanner… 3 times in the scene
- ▶ 3:50 Daniel Chia Over here, I'm going to talk about how Spanner applies to it, to a relational table, but this can be applied in many other kinds of big data systems that need to distribute work across many machines. 2 times in the scene
- ▶ 7:07 Daniel Chia Um, but the problem is Spanner is a relational database and people expect to be able to do queries like, you know, select all songs where the singer ID is three and the album ID is greater than one.
- ▶ 8:31 Daniel Chia Um, so what Spanner does is something different.
- ▶ 10:42 Daniel Chia So what we can do is Spanner will actually notice that, Hey, the load on these shards are increasing.
- ▶ 12:18 Daniel Chia As a small side note, you must think that maybe my life as a Spanish engineer is horrendous. 2 times in the scene
- ▶ 14:54 Daniel Chia So unless Spanner has a crystal ball to be able to predict in five seconds exactly where in the key range you're going to be writing to, we can't split it. 2 times in the scene
- ▶ 15:48 Daniel Chia Uh, the two examples that I mentioned in the Cloud Spanner blog post, but in, in essence, it's a distributed relational database that works really well, so there's very little reason to choose it unless you have a very specific workload… 2 times in the scene
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 5:25 unnamed speaker So Google and the New York Times have had a partnership for many years, and we think it's actually an ideal partnership to leverage the power of Google Cloud's technology.
- ▶ 12:38 Nick Rockwell Um, but otherwise it's, you know, we're using Google storage and GCS and, and, uh, um.
- ▶ 12:53 Nick Rockwell Um, I think we, you know, I don't know if we want to get into it or not, but this is like the culmination of a long process that we've done to migrate almost everything we're doing to Google Cloud.
- ▶ 14:03 Nick Rockwell I've been watching Google Cloud for a while. 6 times in the scene
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 20:53 Nick Rockwell Um, it doesn't, it also, it does include Cloud Functions, but I'm personally not that interested in Cloud Functions.
Why Does The World Need Another Computer? // Anant Bhardwaj, Instabase (FirstMark's Data Driven NYC)
- ▶ 5:14 Anant Bhardwaj Earlier people used mainframes with terminals, then basically we went into servers and desktops, and now we are basically getting into this cloud with Amazon and Google Cloud and Microsoft.
- ▶ 5:40 Anant Bhardwaj Or it could be this one, ah, which is Google Cloud Services.
- ▶ 16:47 Anant Bhardwaj You can run it anywhere, which could be on your local host, on any cluster of machines, on Amazon or Google Cloud or whatever.
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 13:26 Mike Tuchen When Google Dataflow comes along, take advantage of that. 2 times in the scene
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 2:50 Ajay Kulkarni The relational databases they had in the past just couldn't scale for these workloads, so the new companies started developing the first big data non-relational systems, and this includes Google, who published the MapReduce paper and the…
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 9:22 Diego Oppenheimer Three, it's actually software agnostic, so I can actually deploy this maybe in a data center inside AWS, maybe in a data center inside, you know, GCP, maybe I want to do it on premise.
Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark)
- ▶ 20:48 Mike Dauber You want to understand what, what Google's up to, and I will say, if you haven't gotten a briefing from GCP, it's pretty amazing where their heads are at with that.
A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark)
- ▶ 3:32 Haoyuan Li Say for example, you may have cloud storage like Amazon S three, Microsoft storage, have Google storage like Google cloud storage, 2 times in the scene
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 24:24 Eliot Horowitz On the other hand, everyone needs someone to run the database, to back up the database, to manage the database, you know, just like they do with, you know, Amazon or the Google or Microsoft Clouds, you know, people need people to help them.
- ▶ 26:48 Eliot Horowitz See Google started to come up quite a bit, 2 times in the scene
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 14:05 Peter Fenton So, here's what I sensed, is that Spencer had worked on some of the most important, I think, foundational work of, of the internet, and broadly computing at Google, and what Spanner and F-One did was, you have to be an idiot not to see it,…
Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
- ▶ 3:46 Spencer Kimball So Google kind of took this to heart, and the infrastructure group reimagined Bigtable to something called Spanner, and that paper was published in 2012. 2 times in the scene
- ▶ 5:34 Spencer Kimball Hosted services like DynamoDB, Amazon's Aurora, Google's cloud storage, um, the problem with these is you've got vendor lock-in, and they're all proprietary, so when you actually do want to switch off it because you've become Dropbox or…
- ▶ 8:05 Spencer Kimball Leave that to the AWS people, leave that to Google's cloud people, um, you shouldn't have to notice.
- ▶ 12:45 Spencer Kimball This is what, uh, Big Table used, HBase uses, and also some of Google's newer architectures like Megastore and, um, uh, Spanner.
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 44:50 Michael Selick Um, I was, I was wondering if, uh, if you've read the Google Spanner, um, paper, and, um, how, uh, how you think that'll affect demand for NoSQL in general, and, uh, and I guess scalable products. 2 times in the scene