PostgreSQL, every mention
65 scenes, the whole family · ← back to PostgreSQL
tap a year for its mentions
every year anyone Mike Freedman 25Matt Turck 10Nate Stewart 8Spencer Kimball 7Johnny Graettinger 6Jeff Huber 5Hjalmar Gislason (Halmar) 5Gleb Mezhanskiy 5Evan Kaplan 3Abe Gong 3
Verbatim, from the transcripts: the passages where PostgreSQL comes up
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 6:31 Evan Kaplan People have built stuff on Postgres.
- ▶ 14:35 Evan Kaplan Use Mongo, use Postgres, use some, use something else, right?
- ▶ 29:19 Evan Kaplan I can use a Postgres database.
Dashboards Are Dead: Sigma’s BI Revolution for Trillion-Row Data
- ▶ 12:15 Mike Palmer Rob Jason took a spreadsheet working on, and there's a little secret on a Postgres database, uh, to Bob.
- ▶ 19:44 Mike Palmer Or the Postgres warehouse you use to avoid paying, ah, those types of warehouse credits, because maybe the data only refreshes once a day, and you don't want to have that hitting your warehouse, but they're getting one interface.
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 43:47 Ben Rogojan (Seattle Data Guy) I think because of who they, if I recall, they like purchased a solution that was based on Postgres and then just moved it to the cloud.
- ▶ 47:25 Ben Rogojan (Seattle Data Guy) So if you're using Postgres or something and you're, you know, cause you're, uh, you've got some application layer.
Building the Easy Button for Generative AI | May Habib, CEO, Writer
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 28:24 Jordan Tigani It can deliver value in that, you know, you can join, you know, data from your Postgres server against data that's living in the cloud.
- ▶ 33:49 Jordan Tigani Yeah, he created Postgres and Ingress, um,
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 17:53 Tobie Morgan Hitchcock It can run as a single node, like Postgres.
- ▶ 21:06 Tobie Morgan Hitchcock So in Postgres or relational database, something like MySQL, you traditionally have an ID field which is an integer.
- ▶ 42:43 Matt Turck Pick on them necessarily, but it's like this whole group of, um, sort of Postgres based, uh, modern databases, um, that, uh, you know, some of which are doing great things with a great traction. 2 times in the scene
AI at Datadog: Monitoring machines in the age of LLMs | Olivier Pomel, CEO of Datadog
- ▶ 56:05 Olivier Pomel Uh, database-wise, you know, we mostly built on, I mean, we still use, in some areas, like some standard databases, like Postgres and things like that.
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 0:07 Mike Freedman So today I want to talk about timescale and what I'm going to refer to as the once and future database platform, Postgres.
- ▶ 1:52 Mike Freedman Uh, even though it has its roots back in the 19 eighties, Postgres is now one of the most popular databases for developers, and it's not a niche database, good for only one thing, but a full database platform, and we'll see why in a minute. 2 times in the scene
- ▶ 2:42 Mike Freedman Today, these companies trust timescale to build their powerful applications with Postgres. 9 times in the scene
- ▶ 7:40 Mike Freedman We extended Postgres in order to help now developers build powerful AI applications. 5 times in the scene
- ▶ 11:06 Mike Freedman This is PGAI running in Postgres. 4 times in the scene
- ▶ 15:31 Mike Freedman You might think of Postgres as an OLTP database, but we first proved that it could be powerful for time series and analytics, and right now we're showing it could power AI and vectors as well, all without a new architecture. 3 times in the scene
- ▶ 16:12 Matt Turck Building, um, great database companies on, on top of Postgres. 8 times in the scene
- ▶ 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
- ▶ 2:30 Aaron Katz Row oriented like Postgres or a transactional database.
- ▶ 7:38 Aaron Katz And those types of use cases, companies originally selected technologies like Postgres, for example, for that type of use case, and then realize that as these data volumes exploded, especially with the emergence of gen AI, that they simply…
- ▶ 25:30 Aaron Katz Um, we're seeing companies that chose a relational or transactional database, like Postgres.
Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- ▶ 9:59 Jeff Huber Um, you know, if you look at, uh, conventional database, relational database, Postgres, MySQL, et cetera, it's basically two D data.
- ▶ 22:36 Jeff Huber Um, you know, Postgres is not doing analytics over your Postgres data. 3 times in the scene
- ▶ 26:47 Jeff Huber Um, but, uh, I think that idea of turning this, like, static database into something that knows what it knows and knows what it doesn't know, and allowing it to be alive and then allowing it to almost learn in a sense, um, is really…
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 1:51 Spencer Kimball IBM DB too, which you'd run on mainframes, Microsoft SQL Server, Postgres, MySQL.
- ▶ 45:32 Spencer Kimball We also, you know, Cockroach looks like Postgres, and Postgres, of course, is, is a very widely adopted database, and many databases that aren't Postgres look like Postgres.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 13:57 Gleb Mezhanskiy For example, Postgres or MongoDB to like a warehouse. 4 times in the scene
- ▶ 21:24 Gleb Mezhanskiy Um, in this, like, you do have to connect it to specific data sources like a warehouse, for example, let's say if you're using Snowflake and Databricks and Postgres, you would need to connect it just like a BI tool to all of these, but in…
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.
- ▶ 3:56 Johnny Graettinger So we have a, um, a running capture that my colleague Will set up like a bunch of days ago that's basically just capturing a bunch of tables from this Postgres database into, uh, flow collections.
- ▶ 5:32 Johnny Graettinger Okay, so what we are looking at right now, um, is a live view of essentially a Postgres table that is being live synchronized into this Google Sheet.
- ▶ 9:41 Johnny Graettinger So that's essentially what I have put together just in terms of like demo content to show, uh, kind of what we've shown with the sheet is we're able to like directly synchronize from our Postgres warehouse into the sheet.
- ▶ 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. 2 times in the scene
Fireside Chat: Abe Gong (Founder & CEO, Superconductive) with Matt Turck (Partner, FirstMark)
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: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 31:11 Dev Ittycheria They want to standardize and say a modern standard like MongoDB, maybe a relational standard like Postgres, and then maybe there's some corner cases where they use something esoteric.
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,
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 9:13 George Fraser It is a mammoth task to be able to do essentially change data capture out of every single application, every kind of database, Oracle, MySQL, Postgres, you name it.
- ▶ 13:12 George Fraser Um, so there's database systems like MySQL, Postgres, Oracle, MongoDB, you name it.
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 9:09 Nate Stewart From the point of view of the application developer, it looks like they're talking to a single Postgres database, but it just so happens to be elastically scalable.
- ▶ 14:13 Nate Stewart If you, you know, Amazon Aurora is really Amazon Aurora Postgres or Amazon Aurora MySQL. 4 times in the scene
- ▶ 25:10 Nate Stewart Um, the other thing that we're looking at specifically focusing on time to value is, uh, Postgres compatibility. 3 times in the scene
- ▶ 37:32 unnamed speaker For example, Mongo went after a novel paradigm and application developers, um, for people who want SQL, they have Postgres, MySQL.
What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 22:04 Spencer Kimball It looks like Postgres. 5 times in the scene
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 17:40 Ajay Kulkarni Uh, you know, the, the, the way we handle replication, we're built on top of Postgres, which is a very popular open source relational database, and we support replication through standard Postgres streaming replication. 2 times in the scene
Drug Discovery as a Data Problem // Sajith Wickramasekara, Benchling (FirstMark's Data Driven)
- ▶ 9:24 Sajith Wickramasekara Postgres, 20 years old.
Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
- ▶ 17:10 Jeremy Stanley Yeah, so all of our production data is in Postgres, and we will read from the secondaries in AWS. 2 times in the scene
The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark)
- ▶ 3:20 Praveen Murugesan So, here's how Uber's infrastructure kind of started when I came into Uber, and for the scale at which we are running at that point, this was something that actually worked, so it wasn't, I wouldn't say it was like a bad architecture, so…
- ▶ 5:49 Praveen Murugesan So we built, like, a Hadoop data lake, which really, ah, the fundamental difference between what we built from Hadoop, ah, versus, like, Vertica was, like, we left all the original data in the source data, data set, databases itself, like,…
The Solitude of the Data Team Manager // Florian Douetteau, Dataiku (Hosted by FirstMark)
- ▶ 3:56 Florian Douetteau You might want to do everything in Spark, but you would find out that maybe the geo-analytics team in the company is really into Postgres and PostGIS, and want to do everything in Postgres and PostGIS. 2 times in the scene
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 11:12 Eliot Horowitz Connectivity to tools like Tableau and sort of all the other sort of BI tools became very, became more and more important, so in December we released a BI connector that speaks sort of completely native SQL, so like you, it actually…
- ▶ 25:38 Eliot Horowitz Um, so they do this a lot, so for those who don't know, so for example, Amazon has a product called RDS, which is Relational Database Service, and in that they have managed MySQL, managed MariaDB, managed Postgres, even managed Oracle and…
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
Machine Learning in Production with Josh Bloom, Co-founder Wise.io
- ▶ 3:54 Josh Bloom So it would be very easy, of course, if you've got a good group of people to stand up your own Kafka cluster or manage some multi-zone, uh, Postgres server.
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 1:35 Mike Olson I was one of the architects of Postgres. 2 times in the scene
Panel Discussion // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
- ▶ 17:11 unnamed speaker Uh, our tech stack, uh, primarily has been Postgres, uh, we're migrating to Hadoop.
John Foreman, Mailchimp // Data Driven NYC 19 // October 2013
- ▶ 14:57 John Foreman For our slow storage, we use sharded Postgres because our devs are really comfortable with that.
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 18:26 Eric (MemSQL) Um, so whenever you go with MM-SQL on EC-II, for example, you will see, like, one millisecond response times, and a Postgres or a MySQL is on the order of 60.
Panel discussion // Data Driven NYC #9 // Nov 2012
- ▶ 11:41 Hjalmar Gislason (Halmar) Uh, we're, we're using Postgres, actually, as our database. 5 times in the scene
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 48:47 Dwight Merriman And we looked at the traditional stuff and we thought, well, you know, could we take something, can we take Postgres and start changing, you know, changing code and make something we like?