MySQL AB, every mention

8 scenes (2013), the whole family · ← back to MySQL AB

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Verbatim, from the transcripts: the passages where MySQL AB comes up

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Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013 Dec 5, 2013 · 2 mentions

  • ▶ 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 Dec 5, 2013 · 2 mentions

  • ▶ 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 Dec 5, 2013 · 1 mention

  • ▶ 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 Dec 5, 2013 · 1 mention

  • ▶ 50:13 Ping Li I think Hadoop will solve a lot of its problems, and I think it's just like, if you look back at MySQL 20 years ago, everyone had the same complaints around that database, and over time, it got good enough, and it, and it seems to have…

Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck) Dec 5, 2013 · 2 mentions

  • ▶ 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.
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