Amazon Redshift, every mention
62 scenes, the whole family · ← back to Amazon Redshift
tap a year for its mentions
every year anyone Matt Turck 13Tristan Handy 11Tony Baer 5Prat Moghe 5George Fraser 5Bob Muglia 4Ben Rogojan (Seattle Data Guy) 4Ashley Kramer 4Alex Dean 4John Rauser 3
Verbatim, from the transcripts: the passages where Amazon Redshift 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,
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
- ▶ 43:14 Ben Rogojan (Seattle Data Guy) Um, not a big Redshift fan. 4 times in the scene
- ▶ 48:48 Matt Turck So not an Azure fan, not a Redshift fan.
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 19:06 Jordan Tigani Uh, you know, BigQuery and Redshift and, um, and this thing that I'd never heard of called DuckDB.
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 16:31 Mike Freedman Amazon Redshift is actually a fork of Postgres eight.
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
- ▶ 36:55 Tomasz Tunguz Because the clouds themselves, you look at Redshift in the buyer's mind has really fallen behind in the next generation cloud data warehouse.
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 43:52 Matt Turck I think the, you know, the idea that, um, you should have, uh, a bunch of your data in, uh, one of those, uh, amazingly elastic repositories, uh, whether that's, uh, a data warehouse kind of, uh, thing like a snowflake, uh, or redshift, or…
AI's Killing Marketing. Ecosystem-Led Grow is the Future | Bob Moore, the CEO of Crossbeam
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 3:43 Tristan Handy And the, the big dividing line there for me was Redshift and not specifically Redshift because there have been now been other databases that have come out that are, that are like Redshift, but it's the, it is the year that the cloud first… 2 times in the scene
- ▶ 33:05 Tristan Handy Um, I mean, in 2016, Redshift
LLM Powered Search | Vectara Founder & CEO, Amr Awadallah
- ▶ 16:13 Amr Awadallah We charge in the same way that snowflake charges or Google BigQuery or Amazon Redshift.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 10:51 Tasso Argyros And a lot of it revolves around the data lake or the data warehouse, whether it's a snowflake, Redshift, Databricks, um, and essentially what you're getting here in the middle is a customer data activation layer, which acts as a bridge to…
Fundamentals of Data Engineering | Joe Reis and Matt Housley
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
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…
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: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 18:02 Aaron Katz You've got Redshift, BigQuery, Snowflake.
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.
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 10:22 Matt Turck And then we have like a red shift since you're on the AWS stack.
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.
- ▶ 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: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 23:01 Jack Hanlon Oh, uh, I mean, um, Redshift isn't very good. 3 times in the scene
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…
- ▶ 25:40 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: 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
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. 4 times in the scene
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
- ▶ 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)
- ▶ 2:25 Ahmed Elsamadisi We started with Redshift, and then we ended up buying Snowflake.
- ▶ 18:26 Ahmed Elsamadisi Where you'll quickly start seeing that the speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable.
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 15:54 Rich Waldron Um, be it we have a CSV connector which we were tested out, ah, a customer tested us on very recently by dropping a four gig CSV file into that to see if we could batch it up and break it up and put it into a Redshift database and
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…
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 19:43 Benn Stancil Um, which tools are they using if they're investing in other data tools, if they're investing in, in data warehouses like Redshift or Snowflake or, or even stuff like Oracle or Vertica.
$0 to $60M in 2 Years // Bob Moore, Crossbeam (FirstMark's Data Driven NYC)
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 8:07 Matt Turck Uh, created, but you have, so the databases, this is what I'm talking about, the databases, um, on one side as a source, and then you have the processing layer, uh, that used to be Teradata Oracle IBM, which is now Spark, Snowflake,… 3 times in the scene
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 6 times in the scene
- ▶ 19:54 Bob Muglia Three, depending on whether you want to include Athena and Spectrum in that.
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 0:51 Prat Moghe All you do is you spin up a Redshift cluster, you spin up an EMR cluster, and you get going, uh, and then you talk to the people
- ▶ 7:17 Prat Moghe What's faster, Impala or Redshift? 2 times in the scene
- ▶ 12:54 Prat Moghe So then why do you care if this is AWS and Redshift and Azure in the East region and all that?
- ▶ 13:57 Prat Moghe We picked Redshift and Greenplum for SQL.
- ▶ 17:56 unnamed speaker But, but I'm interested when you get into bigger companies as well who have really smart, ah, and knowledgeable people, you know, my sense is they want to kind of get under the covers and make the choice of Redshift versus this and that.
Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
- ▶ 17:16 Jeremy Stanley Um, we push all of the Postgres data into Redshift, uh, and do a lot of more intensive batch computations off of Redshift. 2 times in the scene
B2B Big Data Challenges, Nick Mehta, Gainsight (Data Driven NYC / FirstMark Capital)
- ▶ 20:26 Nick Mehta So today we use a combination of Postgres, Mongo, Redshift, and we actually use, um, if the customer is Salesforce, we run some queries live on their platform, and then we blend all those together, run it in Amazon, and then kind of push… 2 times in the scene
Liz Crawford, Birchbox // Data Science & Analytics at Birchbox (Hosted by FirstMark Capital)
- ▶ 23:23 Liz Crawford And we do take many things off the shelf, so, um, we use, like other people earlier, we use Redshift, we use Looker,
Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)
- ▶ 13:51 Ramana Rao We're building out a data warehouse, and that's all on top of cloud-based stuff, Redshift in this case.
- ▶ 22:00 Ramana Rao Once it's in Redshift, uh, we will start, um, playing a lot with the data and looking, looking for things.
David Glueck, Bonobos // Data Science & Engineering at Bonobos (Hosted by FirstMark Capital)
- ▶ 7:20 David Glueck The database storage, we, we switched from MySQL into Amazon Redshift, and it didn't have, we didn't have to re-engineer the entire system to pull that off.
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 4:17 Bob Muglia And here, probably the, the, the examples that many people think about, at least with regards to data warehousing and, and the big data space, are things like Amazon's Redshift or Elastic MacReduce or EMR.
- ▶ 7:11 Bob Muglia And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within, within a, a cloud environment.
- ▶ 16:35 Bob Muglia Than other cloud solutions like Redshift.
- ▶ 21:13 Tony Baer Yeah, I mean, so first of all, what I'll say is the architecture that we've built, that where we separate the data from the compute, the way we've done it, we think is pretty unique, and certainly in terms of having a product that is… 5 times in the scene
Mike Abbott, KPCB // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital)
- ▶ 13:49 Mike Abbott And it's been interesting to see how many companies are looking at things like Redshift and more self-service.
John Rauser, Pinterest // Big Data at Pinterest // Data Driven NYC (Hosted by FirstMark Capital)
- ▶ 17:33 John Rauser Um, at, uh, Pinterest we use Redshift. 3 times in the scene
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 11:07 Tobi Knaup Uh, AWS came out with, uh, Redshift, um, which is, the analysts really like, makes it really easy to query your data.