Amazon, every mention
576 scenes, the whole family · ← back to Amazon
tap a year for its mentions
every year anyone Matt Turck 122Benedict Evans 33Bob Muglia 25Spencer Kimball 18Prat Moghe 18Evan Kaplan 16Justin Borgman 15Tristan Handy 14Nate Stewart 13Aaron Katz 13
Verbatim, from the transcripts: the passages where Amazon comes up
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 15:07 Benn Stancil You can run it for way less price than you're probably paying for Snowflake. 4 times in the scene
- ▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
- ▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
- ▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
- ▶ 40:30 Benn Stancil So if I, again, I can integrate a bunch of AWS services together really easily, but they're separate products, kind of.
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…
- ▶ 10:50 Pete DeJoy We have one in AWS, one in GCP, one in Azure. 3 times in the scene
- ▶ 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.
- ▶ 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.
- ▶ 22:23 unnamed speaker Uh, just in terms of the workflow, when you committed the code, did the, uh, was there a back end process that was responsible for building the AMI and pushing it out to AWS or like in terms of CA, you know, continuous integration? 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 3:25 Tristan Handy And at the time it was just red shift. 5 times in the scene
Fireside Chat: Felix Van de Maele (Co-Founder & CEO, Collibra) with Matt Turck (Partner, FirstMark)
- ▶ 4:32 Felix Van de Maele And I think of it almost like the Amazonification of data, right?
Fireside Chat - Azeem Azhar (Author, The Exponential Age) with Matt Turck (Partner, FirstMark)
- ▶ 12:46 Azeem Azhar So we know that, you know, if you're on Amazon's platform, um, 2 times in the scene
- ▶ 12:50 Azeem Azhar They will be looking at your, at what products you're selling, and they'll figure out whether they should build an Amazon Basics by looking at the data that competes with you.
Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
- ▶ 22:51 Emil Eifrem It's Amazon.
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,
- ▶ 11:35 Aaron Katz I first met Yuri when he was running platform engineering at Netflix and led their migration to the cloud, uh, for a number of years, I believe he was large AWS's largest customer at the time.
- ▶ 14:25 Aaron Katz And we've, we've seen other companies in their approach to neutralize, in many cases, the threat of large cloud service providers like, like AWS and others. 3 times in the scene
- ▶ 18:02 Aaron Katz You've got Redshift, BigQuery, Snowflake.
- ▶ 20:51 Aaron Katz We talked a little bit about, you know, ingestion and we're going to be investing heavily to make getting data from Kafka to ClickHouse or Kinesis or an integration on
Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
- ▶ 11:28 DeVaris Brown Um, and that, that allows you to do things like, now I don't have to have the Postgres to Redshift connector or the MySQL to Salesforce connector.
- ▶ 14:54 DeVaris Brown So, you know, if you want to have a, because you can multiplex or, you know, kind of multi, you know, branch out that same stream to multiple destinations, uh, it's really easy for us to have like an immutable S three bucket
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 15:04 Ali Ghodsi And this was inspired by AWS. 3 times in the scene
- ▶ 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… 2 times in the scene
- ▶ 28:14 Ali Ghodsi Like if you look at Amazon Web Services, it's not a one trick pony, right? 2 times in the scene
- ▶ 28:18 Ali Ghodsi Amazon itself is not a one trick pony.
- ▶ 30:33 Ali Ghodsi And that has been really hard up until, you know, Red Hat and all these companies that were doing supporting services, until Amazon Web Services cracked the code on the business model.
Fireside Chat: Florian Douetteau (Founder & CEO, Dataiku) with Matt Turck (Partner, FirstMark)
- ▶ 6:17 Matt Turck And could you maybe, uh, paint a picture of, um, you know, the, the, the things, right, like Facebook, Amazon, Google, uh, on the one hand, and then, you know, the remaining 99.5% of the, of the world, and what that means in terms of…
Fireside Chat: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 14:19 Matt Turck Search your, like, your S three folders. 2 times in the scene
- ▶ 19:51 Dev Ittycheria Now, you know, Amazon's tried to make some extensions to, you know, with Aurora, 6 times in the scene
- ▶ 19:51 Dev Ittycheria Now, you know, Amazon's tried to make some extensions to, you know, with Aurora,
- ▶ 21:15 Dev Ittycheria Uh, in fact, I would argue, for example, that AWS has done a better job monetizing MySQL than MySQL, Sun, or Oracle ever did, right? 4 times in the scene
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 8:51 Dave Burgess Now we're, all of contrast is, is running on EWS. 2 times in the scene
- ▶ 8:54 Dave Burgess So we put all of this data into S three 3 times in the scene
- ▶ 10:22 Matt Turck And then we have like a red shift since you're on the AWS stack.
- ▶ 12:30 Dave Burgess And that's, you know, mostly from this data that comes into, that comes into S three and AWS.
- ▶ 12:30 Dave Burgess And that's, you know, mostly from this data that comes into, that comes into S three and AWS.
- ▶ 30:56 Dave Burgess And so, and so Kafka, yeah, Kafka basically, uh, brings all the data into S three 3 times in the scene
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 9:21 Bindu Reddy So let's assume you're using a redshift or a snowflake or what have you.
- ▶ 15:52 Bindu Reddy So for the people who have like that 500 person machine learning team, like take Pinterest, and Pinterest of course only uses AWS, as they've mentioned.
- ▶ 26:57 Bindu Reddy So literally you can connect, you know, your data from Snowflake, from Redshift, and from your data lake and Salesforce together and bring that all together.
Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
- ▶ 15:34 Arjun Narayan The integrations to tools like Kafka, uh, the integrations to, to, to, to pull batch data from S three.
- ▶ 22:25 Arjun Narayan Basically the ability to store large historical data sets on very cheap storage like Amazon S three, um, such that, you know, you don't have to really think about separating out your historical data set.
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 15:14 Chip Huyen Like, you can, um, like, either, like, um, have, uh, bigger, like, better servers, like, some AWS, you can bigger, like, GPUs and stuff, or we can have, like, um, uh, more power for,
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 9:36 Jack Hanlon From the top view, I'd say we're, we're AWS prod, um, with originally a lot of Postgres, um,
- ▶ 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?
- ▶ 23:01 Jack Hanlon Oh, uh, I mean, um, Redshift isn't very good. 3 times in the scene
- ▶ 23:10 Jack Hanlon I think SageMaker is, there's a lot of promise there and a lot of capability, but in terms of, like, having a, um, having an analytics tool or, or the thing that people are acquiring, Redshift feels way behind, whereas a number of years…
- ▶ 23:31 Jack Hanlon Snowflake, on the other hand, okay, so you could put Snowflake on top of AWS,
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 3:20 Savin Goyal Uh, we are an AWS shop.
- ▶ 3:23 Savin Goyal Uh, so we use SG as
- ▶ 5:51 Savin Goyal So if say you were a data scientist at Netflix, then you could in theory use a Jupyter notebook, get access to, uh, your data from ST via a bunch of different query engines, and then, uh, 2 times in the scene
- ▶ 15:46 Savin Goyal Uh, you know, let's say if you're using S three as your data store, but now if you're using Kubernetes, uh, as your compute cluster and say, if you want to use step functions or Argo,
- ▶ 20:27 Savin Goyal They care about what sort of modeling libraries, uh, they should be using, but not so much about, you know, how the data is actually being stored in S three, as long as they make efficient access, uh, to S three.
- ▶ 21:44 Savin Goyal So, uh, so Netflix is an AWS shop. 6 times in the scene
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.
- ▶ 16:17 Kedro Product Manager I did see one question that was asked, um, around how does this compare to, um, AWS SageMaker? 4 times in the scene
- ▶ 16:22 Kedro Product Manager So they actually did, um, the AWS team actually did feature, um, Kedra on the blog. 2 times in the scene
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 2:35 Julien Le Dem You may be depending on an S three bucket or a table in snowflake, but you don't know how it's produced, right?
- ▶ 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…
- ▶ 18:12 Julien Le Dem Your, um, data infrastructure, and you have an injection, and then you add a storage layer for streaming and for batch processing using things like Kafka or Sree or HDFS, and then you would have stream and batch processing, and usually you…
- ▶ 25:40 Julien Le Dem And, but nowadays in BigQuery and Snowflake and Redshift eventually caught on on being able to read Parquet and export as Parquet, right?
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 3:05 Alok Gupta Where we, we build, uh, products and services to help us in the things we're trying to do, but ultimately we get them to a stage of maturity and robustness through experimenting on ourselves where we can then offer them as white label…
- ▶ 3:05 Alok Gupta Where we, we build, uh, products and services to help us in the things we're trying to do, but ultimately we get them to a stage of maturity and robustness through experimenting on ourselves where we can then offer them as white label…
- ▶ 21:12 Matt Turck Am I understanding correctly that instead of running Databricks on something like S-III, you are running on Snowflake. 4 times in the scene
- ▶ 22:22 Alok Gupta Databricks runs on AWS.
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 1:27 Tristan Handy I think over the past seven years, really, it was like the introduction of Amazon redshift with
- ▶ 10:01 Tristan Handy Um, and, uh, up until the release of Amazon Redshift in, uh, I was, I didn't work at a large company that had a Teradata license or a Netesa box in my, you know, the server cabinet somewhere. 2 times in the scene
- ▶ 11:08 Tristan Handy Um, that's my, you know, I know that that's a technology centric answer to that question, but like, it's the same way that like EC two or S three has changed the way that we think about not just like building applications, but
- ▶ 11:08 Tristan Handy Um, that's my, you know, I know that that's a technology centric answer to that question, but like, it's the same way that like EC two or S three has changed the way that we think about not just like building applications, but
Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
- ▶ 0:57 Ashley Kramer And so I got a great opportunity to build out Kindle, um, or in the early Kindle days at Amazon and more relevant to my experience. 3 times in the scene
- ▶ 0:57 Ashley Kramer And so I got a great opportunity to build out Kindle, um, or in the early Kindle days at Amazon and more relevant to my experience. 2 times in the scene
- ▶ 1:14 Ashley Kramer And I learned the importance of cloud because AWS was starting to grow up.
- ▶ 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. 4 times in the scene
Fireside Chat: Amit Bendov (Founder & CEO, Gong) with Matt Turck (Partner, FirstMark)
- ▶ 9:18 Amit Bendov Um, and Google and Amazon will compete with you and, you know, standard stuff.
- ▶ 15:39 Amit Bendov It builds into like native API, but anything from all the web conferencing, um, Zoom, uh, WebEx, uh, Google Meet, Amazon, Chime, whatever you're using, uh, Microsoft Teams, obviously, uh, most of the telephony systems, uh, cell phones,
Fireside Chat: David Cancel (Founder & CEO, Drift) with Matt Turck (Partner, FirstMark)
- ▶ 17:14 David Cancel I'm just using random examples or Amazon.
- ▶ 42:50 David Cancel We do those every day, Amazon, et cetera.
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 4:54 George Fraser Yeah, the most popular data warehouses today would be, uh, Snowflake, who everyone's talking about right now because they're about to IPO, um, Redshift, 4 times in the scene
- ▶ 5:04 George Fraser Uh, which is a data warehouse that you can buy from Amazon Web Services. 2 times in the scene
- ▶ 13:31 George Fraser Uh, so things like Dropbox or S three and, uh, we support events.
- ▶ 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,
- ▶ 36:08 George Fraser Uh, and, uh, and we didn't spend a ton of money on AWS, and we only had one other person who joined the company in that, in that first phase.
- ▶ 39:55 George Fraser I, I, I always tease our, uh, our data warehouse partners that if they were to look at our AWS account, they would be like, that's for one customer, right? 2 times in the scene
Fireside Chat: Alex Rinke (Founder & CEO, Celonis) with Matt Turck (Partner, FirstMark)
- ▶ 7:20 Matt Turck The reason why I ask you that is a question that comes up so many often in startup conversations like, oh, if only I could sign, you know, Microsoft or Amazon as a partner, I could accelerate, and then there's always like some, you know,…
- ▶ 20:23 Alex Rinke So you buy something on Amazon. 3 times in the scene
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 2:32 Nate Stewart So fend off Amazon and some of our other competitors were also attacking this, uh, this cloud native SQL market.
- ▶ 7:26 Nate Stewart It really makes it possible to build the types of applications and the types of architectures that you'd see coming out of an Amazon or a Microsoft or a Google, but it makes that technology available to every developers.
- ▶ 13:48 Matt Turck How do you position, uh, against other databases or in particular Amazon or, or, you know, Cassandra or like, you know, that, that, those, um, that category of, of, uh, databases.
- ▶ 14:03 Nate Stewart So for Amazon Aurora, you know, that's a, a great product depending on what you're trying to do. 7 times in the scene
- ▶ 34:29 Nate Stewart We're going to start putting more stuff in the enterprise, um, license because we're worried about Amazon, right? 2 times in the scene
- ▶ 38:47 Nate Stewart We're still winning heads up versus Amazon Aurora in single data centers.
- ▶ 38:55 Nate Stewart So people see, okay, this is what the future will look like if we're even moderately successful with, uh, you know, an Amazon style database versus this is what it would look like with cockroach.
Fireside Chat: Jerome Pesenti (Head of AI, Facebook) with Matt Turck (Partner, FirstMark)
- ▶ 25:39 Matt Turck Partnering with AWS, right, on the, on the, on the PyTorch release. 2 times in the scene
- ▶ 25:43 Jerome Pesenti Oh, and that's another aspect, which is we're really trying to create a community, including actually partnering with, uh, you know, actually we're partnering with Google, we're partnering with Amazon, we're partnering with Microsoft, uh,…
- ▶ 28:43 Jerome Pesenti So when you interact with something like Alexa or Google Home today, right, this system basically do intent recognition and then they have a very scripted dialogue after this, right?
Fireside Chat Part II: Ben Horowitz (a16z) on Culture with Matt Turck (FirstMark) at Data Driven NYC
- ▶ 13:06 Ben Horowitz So do you remember the Amazon article in the New York Times where they basically said Amazon's like the worst place to work in the world. 7 times in the scene
- ▶ 30:13 Matt Turck Different cultures, what worked for Amazon didn't work for Apple, I think. 6 times in the scene
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 17:49 Matt Turck Obviously, the, I mean, the very clear objective is to take over, uh, AWS and Azure.
- ▶ 18:36 Amr Awadallah Google is always upper right corner, way ahead of Amazon, way ahead of 3 times in the scene