SQL, every mention
59 scenes · ← back to SQL
tap a year for its mentions
every year anyone Matt Turck 17Paul Dix 9Nitay Joffe 7Tristan Handy 5Daniel Chia 5Ben Rogojan (Seattle Data Guy) 5Anthony Deighton 5Nate Stewart 4Florian Douetteau 4Sridhar Ramaswamy 3
Verbatim, from the transcripts: the passages where SQL comes up
Snowflake CEO on Winning the AI Arms Race
- ▶ 48:43 Sridhar Ramaswamy There's always been pain associated with getting data out to business users, especially new data, different kinds of insights very quickly, because they live in, in tables, and people have to write this language called SQL or bits of… 3 times in the scene
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 55:38 Matt Turck We've, we've talked a lot about SQL search and structured or semi-structured data.
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 0:52 Ben Rogojan (Seattle Data Guy) SQL isn't going anywhere. 2 times in the scene
- ▶ 15:59 Ben Rogojan (Seattle Data Guy) I think that that's just the, the way it is, uh, in terms of skill sets, uh, it's usually things like SQL, Python, or some programming language.
- ▶ 17:54 Matt Turck And so you mentioned SQL, um, so how proficient do you need to be at SQL? 6 times in the scene
- ▶ 51:39 Ben Rogojan (Seattle Data Guy) The next one I said, I, I, I said SQL isn't going anywhere, and I kind of said that for more than one reason. 2 times in the scene
Dataiku's Secret to Scaling AI in Global Enterprises | Florian Douetteau, CEO, Dataiku
- ▶ 15:38 Florian Douetteau And indeed, early adopters of big data technologies were clear that they could not build everything on top of SQL queries in Hadoop.
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 15:10 Tobie Morgan Hitchcock Um, I think the interesting thing that people find when they come to CyrilDB, because you have graph databases out there, and you have document databases, and you have time series databases, um, or just to add to that, you can also query… 2 times in the scene
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 8:28 Mike Freedman But because it's in a database, you could continue to do rich filtering in SQL, on your metadata, on time, on geospatial information, or based on tenant permissions, all which is normally very difficult in vector space.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 15:55 Renen Hallak You can write a parquet object and then query it using SQL natively off of our platform without needing any higher layers on top.
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 3:52 Benedict Evans and so you could go back and talk about, like, SQL, and say, like, imagine explaining SQL to a supermarket in the late seventies, it would not be obvious why this was useful, or what the, what you're going to be able to do with this stuff,… 2 times in the scene
The Single Platform for Everyday AI - Fireside Chat with Florian Douetteau (Dataiku) & Matt Turck
- ▶ 11:37 Florian Douetteau But of course, if you are more like kind of like a coding person, if you want to take things into control, if you want to use or integrate your own specific algorithm or piece of code, I'll do some, uh, whatever, a sequel for…
Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- ▶ 29:13 Jeff Huber Obviously, the, the classical way of doing queries and databases is SQL. 3 times in the scene
AI and the Future of Knowledge Work with Hebbia’s CEO George Sivulka
- ▶ 7:11 George Sivulka Where Excel took a technology, the SQL database, uh, and allowed just normal humans to wrangle it in an application and, you know, create value. 2 times in the scene
- ▶ 15:05 George Sivulka Uh, on the input side, just like there's entire companies, industries even, built around getting data into a SQL database, um, we've done a lot of work on integrations, on parsing documents, on actually creating multiple types of indexes…
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 1:57 Tasso Argyros The way this problem is solved in most enterprises is that you deploy armies of analysts, and they get tickets and requests, and they write SQL, right?
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 5:02 Viraj Parekh Um, what that really looks like for them is productionizing SQL queries and making sure new data is inside the warehouse. 2 times in the scene
- ▶ 18:12 Pete DeJoy So I can see both my tasks, i.e. those SQL queries and Python functions I just ran, predict user trends, and I can introspect the tables that they're actually producing in my snowflake instance under the hood.
Automated Data Discovery | Select Star's Shinji Kim
- ▶ 4:06 Shinji Kim A lot of technical users and data analysts and engineers also ending up spending a lot of time, um, just searching through different SQL queries and trying to find, like, how this table was created, for example.
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 6:13 Johnny Graettinger I'm just gonna uppercase every other one, ah, through SQL. 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 23:58 Tristan Handy I get the impression that, that dbt is pushing the idea of, of SQL first when you think about how you write your data transformations, which, which feels at odds with trying to build abstraction layers on top of SQL, because with dbt,… 4 times in the scene
Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
- ▶ 13:20 Matt Turck Uh, and, uh, I'm just curious how that compares to SQL, which is really the language that sort of everybody knows for databases. 10 times in the scene
Fireside Chat: Mark Grover (Co-Founder & CEO, Stemma) with Matt Turck (Partner, FirstMark)
- ▶ 3:33 Mark Grover They may have skills like writing, being able to write a SQL query or interpret a dashboard that are generic, but they don't have the organizational context.
Fireside Chat: Abe Gong (Founder & CEO, Superconductive) with Matt Turck (Partner, FirstMark)
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 4:19 Wes McKinney Like it's more, you can step outside the bounds of what you could do in the SQL, uh, query language.
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 1:00:40 Tristan Handy Going to be kind of a singularity type event when like people start doing this thing more and there are going to be emails sent to large groups of people accidentally because somebody wrote a SQL query wrong.
Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
- ▶ 7:45 Ashley Kramer and we write the SQL queries and give you back the visualizations. 2 times in the scene
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 24:48 George Fraser So you can build your own data warehouse and you can hire a bunch of analysts who write SQL queries and then, uh, use a tool like Tableau or Looker to build dashboards that you present internally. 2 times in the scene
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 10:50 Nate Stewart Eventually SQL came along, which was a, a really not going to say an intuitive, but a very powerful way to interact with the database and from the seventies to say the, you know, the web two point O era, the way these databases worked was… 4 times in the scene
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 8:34 Ahmed Elsamadisi And the query, a little bit complicated unless you know SQL, but it's actually really simple. 2 times in the scene
What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
- ▶ 11:05 Paul Dix Uh, so we created, uh, for the database, we created a query language, um, which, uh, looks kind of like SQL. 2 times in the scene
- ▶ 21:25 Paul Dix so I, there were a couple of, like, we could have said, like, we'll just go with SQL, because that's a language that exists. 4 times in the scene
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 10:22 Solmaz Shahalizadeh Like, we, we have this, uh, we use mode analytics for, like, SQL.
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 18:24 Benn Stancil Um, and so, I think, yeah, at the end of the day, they're gonna need SQL skills, they're gonna, they might need Python or R skills, they'll need something like Excel, um, but those things are, are learnable, whereas I think, like, the way…
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 3:14 Daniel Chia So we create a SQL table.
- ▶ 7:48 Daniel Chia So now when we want to answer this earlier SQL query, you know, we can look at the query and say, aha, we are only looking at all rows that have singer ID three.
- ▶ 9:32 Daniel Chia So let's look again at the SQL query from earlier. 3 times in the scene
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 8:37 Florian Douetteau That you can do maybe in SQL databases, or not, or Hadoop, or Cloud, or not.
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 0:35 Ajay Kulkarni Timescale is an open source time series database that supports full SQL.
Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)
The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark)
- ▶ 2:18 Praveen Murugesan So mostly what they are savvy with is, like, SQL, and they would actually not even prefer to write SQL. 2 times in the scene
Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark)
- ▶ 2:42 Jake Flomenberg Um, it was a lot simpler back in the day when everyone agreed, everyone just speak this ANSI SQL thing, and you can do great stuff on top, now we have 80 different ways to communicate, so it's gotten a lot harder in some sense, but the…
Why Marketing is All About Data // Nitay Joffe, ActionIQ [FirstMark's Data Driven]
- ▶ 5:57 Nitay Joffe And the only way to effectively do that today is through essentially SQL. 4 times in the scene
- ▶ 9:06 Nitay Joffe Um, and, and as we said before, they don't have any, the right interface that require you to dive into SQL and so on.
- ▶ 16:43 Nitay Joffe No SQL, no MapReduce, none of that kind of stuff.
- ▶ 17:34 Nitay Joffe If you're at all interested in building databases with a purpose, or building beautiful product that allows you to query something like an innovative database without any SQL know-how, come talk to me.
The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)
- ▶ 4:21 Prakash Nanduri And of course we're moving from SQL to NoSQL and we're going to all these amazing technologies that are enabling technologies around going into dealing with more volume, variety, and velocities of data.
The Solitude of the Data Team Manager // Florian Douetteau, Dataiku (Hosted by FirstMark)
- ▶ 20:21 Florian Douetteau Um, because the, the, many companies have the vision of having, like, data, data analysts, largely speaking, moving from a SQL, and possibly SAS world, to a kind of Hadoop-ish, Spark-ish world, on the long term.
Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
- ▶ 7:25 Javier de la Torre So all this, you know, is just really going around the question about location, and that is, you know, a few examples of the type of, you know, like queries, you know, like we, we basically extend SQL with some geospatial functions,
Anthony Deighton, Qlik: Top 10 Requirements For Visual Analytics (Hosted by FirstMark Capital)
- ▶ 4:27 Anthony Deighton Um, and one of the challenges we have is that we try to resolve all of these questions into SQL queries. 5 times in the scene
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 9:35 Bob Muglia They struggle a lot with it in trying to figure out how to handle it, but what we've done is focus on reinventing that and making it much more straightforward to issue a relational query, a SQL query against it.
Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
- ▶ 10:03 Paul Dix So for this, we actually created our own kind of query language, and we took SQL and bastardized it for, for our own purposes.
- ▶ 17:28 Paul Dix Um, basically, if you're, for a SQL database, for instance, like, the, the most basic way to create time series data in SQL is, like, to have a measurement name and a timestamp and indexed by both of those. 2 times in the scene
John Rauser, Pinterest // Big Data at Pinterest // Data Driven NYC (Hosted by FirstMark Capital)
- ▶ 17:33 John Rauser Yeah, I mean, I use a lot of SQL and R. 3 times in the scene
Tasso Argyros, Aster Data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 3:03 Tasso Argyros We're at version six right now, and what we have is a system that can accommodate both relational and file store in the same system, in the same architecture, and a number of analytical engines, including a SQL relational engine, a SQL…
Panel discussion // Data Driven NYC #12 // Jan 2013
- ▶ 41:18 unnamed speaker Um, do you guys intend to roll out any tools or products that would be combining SQL with other non-relational databases, or are you going to stay kind of in the Hadoop world? 2 times in the scene
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 16:54 Dwight Merriman It's not SQL, but it has this Mongo query language. 2 times in the scene
- ▶ 40:26 Dwight Merriman Provides sort of a native way to do aggregate, aggregations in Mongo using a query language that's kind of like group by in SQL.
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 15:31 Kirill Sheynkman Academics, and that's why we have actually, you know, SQL was a language that IBM endorsed and came out, I think, AT&T originally, and as everything else did, you know, but so, so there, there, there's, there's not a formalism around how…