MySQL AB, every mention
49 scenes, the whole family · ← back to MySQL AB
tap a year for its mentions
every year anyone Spencer Kimball 15Justin Borgman 4Stefan Groschupf 3Praveen Murugesan 3Nate Stewart 3Eliot Horowitz 3Tobi Knaup 2Peter Fenton 2Paul Dix 2M.C. Srivas 2
Verbatim, from the transcripts: the passages where MySQL AB comes up
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 29:25 Justin Borgman It is connecting to your storage, uh, so it's your own S three buckets, your own, you know, RDS, your own MySQL database, uh, but the compute and the control plane is managed by us, and so we're able to offer a very seamless, easy to use,…
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 21:06 Tobie Morgan Hitchcock So in Postgres or relational database, something like MySQL, you traditionally have an ID field which is an integer.
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 18:27 Mike Freedman Probably the only other big open source database out there is MySQL, and had a very different type of hooks, and of course it was Oracle at the time.
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.
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 1:01 Jaime & Tobie Morgan Hitchcock DynamoDB and MySQL.
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.
- ▶ 4:17 Spencer Kimball A mobile app of some sort a little bit later, but that actually opened up a gap between what the capabilities of the existing operational databases like Oracle or MySQL could provide for, and what the use case demanded. 4 times in the scene
- ▶ 46:39 Spencer Kimball Can you talk about what in the MySQL architecture actually limits its ability to scale? 8 times in the scene
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 16:00 Gleb Mezhanskiy Um, so here we are running data diff to compare Postgres to MySQL.
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)
- ▶ 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? 2 times in the scene
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 5:58 Dave Burgess And so we query Intelli, uh, to Presto, to Hive, uh, to Spark SQL, uh, to MySQL, but you can do it with other engines too.
- ▶ 22:14 Dave Burgess So that includes the online databases like MySQL and key value stores like RocksDB and HBase, and also includes Druid platform.
Fireside Chat: Jeremiah Lowin (Prefect), Tristan Handy (dbt) with Matt Turck (Partner, FirstMark)
- ▶ 10:30 Tristan Handy Um, there might be a large number of people who have tried to like write an analysis on MySQL and like found that that's like not a wonderful experience.
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)
- ▶ 14:13 Nate Stewart If you, you know, Amazon Aurora is really Amazon Aurora Postgres or Amazon Aurora MySQL. 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.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 7:55 Mike Volpi The first generation was all open, all support, so there's, ah, MySQL,
What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 2:12 Justin Borgman So whereas Hive was exclusively focused on Hadoop, they needed something that could query data in Hadoop as well as MySQL. 2 times in the scene
- ▶ 2:55 Justin Borgman Um, this is, uh, maybe a little hard for some of you guys to see, uh, but it shows at the top, uh, a variety of popular BI tools that you can connect to using ODBC or JDBC drivers, and on the bottom, a variety of data sources, and you'll…
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,…
- ▶ 18:26 Praveen Murugesan Let's say, like, you have a sharded MySQL database with, like, petabytes of data.
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… 2 times in the scene
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 46:45 Peter Fenton Um, I, I remember at MySQL, like, they used to say, well, we have a better license model than JBoss. 2 times in the scene
A Fireside Chat with MapR CTO M.C. Srivas (Data Driven NYC / FirstMark)
- ▶ 10:08 M.C. Srivas Uh, so the history really was that, you know, everybody was using MySQL, and you put, uh, you know, memcached, remember that thing? 2 times in the scene
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 5:25 Stefan Groschupf But their challenge obviously back then was, um, that they, the quantity of people at Facebook was PHP and MySQL developers. 3 times in the scene
Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
- ▶ 1:53 Spencer Kimball Ultimately, what people do is they shard the databases, and I ran into this, like, really head first, like, into a brick wall when I got to Google in 2002, and they were using sharded MySQL in order to run their AdWords backend, and they… 2 times in the scene
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.
Emil Eifrem, Neo4j // Graphs Are Eating The World (Hosted by FirstMark Capital)
- ▶ 20:45 Emil Eifrem We ran that in MySQL, and that was a 2000 millisecond operation.
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 3:58 Bob Muglia An example of this would be running Oracle or MySQL,
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 9:55 Mike Olson We like Impala, but you go around the industry and you'll hear, you know, 30 different MySQL is better than your SQL stories.
Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014
- ▶ 7:15 Catherine Williams In terms of tools at that time, um, maybe because our data was a little bit rigid, we used a lot of Bayesian math, Bayesian probability, um, we still had a little bit of a business intelligence focus at that time, so Excel was still in…
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 4:25 Tobi Knaup If you're looking at your traditional open source, you know, operating stack, you have, operating system stack, you have a kernel, Linux, or say BSD, you have a bunch of system services like init or upstart or systemd to run your apps, and…
- ▶ 10:08 Tobi Knaup It was MySQL and Stata.
Vijay Subramanian, Rent the Runway // Data Driven NYC 23 // January 2014
- ▶ 17:39 Vijay Subramanian Sure, yeah, I mean, our entire, uh, transactional stuff is, is, is on MySQL.
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 24:50 Joe Reisinger So we're, you know, we're, we use, uh, we use MySQL, for example.
Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
- ▶ 17:06 Gilad Lotan Ah, um, there's the sort of technical database, MySQL, Mongo stuff, and then there's a tiny cluster of data journalism feeds.
- ▶ 19:48 Gilad Lotan Um, and actually the, the actual graph information, ah, can be stored either in a massive MySQL database, or I currently use Hypertable, um, which is just super efficient at writing content.
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 11:25 Eric (MemSQL) And take it out and put it in MySQL with zero effort.
- ▶ 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
- ▶ 13:00 Nick Walter Obviously we've optimized our, you know, PHP and MySQL stacks very, very well, but, you know, we're not necessarily built like a semantic big data company would be that needs to process hundreds of millions of rows, like, every day.
Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 14:43 Dwight Merriman And, and of course you can easily implement a key value store in anything else because, um, you know, we can implement it in, in MySQL, we can implement it in Mongo, we can implement it in HBase.
- ▶ 50:07 Dwight Merriman A little bit more maybe like MySQL originally, right, where it was a little tighter relationship with the company.