MongoDB, every mention
24 scenes (2013), the whole family · ← back to MongoDB
tap a year for its mentions
every year 2013 anyone Matt Turck 92Eliot Horowitz 45Dwight Merriman 27Dev Ittycheria 10Shant Hovsepian 6Matthew Rutley 6Justin Borgman 5Aaron Katz 5Tony Baer 4Emil Eifrem 4
Verbatim, from the transcripts: the passages where MongoDB comes up
Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
- ▶ 25:46 Gary Russo I work for a Silicon Valley database startup company called Marklogic, um, doing document databases competing with your Mongo company. 3 times in the scene
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.
Mike Dauber, Battery Ventures // Data Driven NYC 19 // October 2013 (interviewed by Matt Turck)
- ▶ 6:02 Mike Dauber What are the equivalents on the big data side that solve a problem that presents itself as an application where the end user doesn't have to know what Hadoop or Voldemort or Cassandra or Mongo or any of these, ah, alphabet soup of terms…
Jeremy Bronfman, CEO, Enigma // Data Driven NYC #17 // June 2013
- ▶ 20:03 Jeremy Bronfman The data itself, self, is stored in a relational database, um, but then we use Mongo, Redis, and that sort of thing for the metadata, and all the search indices, and that was really a lot of the core tactics around the way we scaled…
Panel Discussion // NYC Data Business Meetup // Feb 2013
- ▶ 14:11 Matt Kroll I work for TenGen, the MongoDB company.
Panel discussion // Data Driven NYC #12 // Jan 2013
- ▶ 41:37 Sharmila Shahani-Mulligan Mongo. 2 times in the scene
- ▶ 56:35 Justin Borgman So, you know, MongoDB, for example, is purely complementary to what we do. 2 times in the scene
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 33:52 Matthew Rutley Um, all the data scientists I know, myself included, were all using MongoDB. 6 times in the scene
- ▶ 36:49 Drew (InfoChimps) My initial reactions to the question are, to me, it seems, uh, it's a little bit related to the last question about, you know, hey, Redis and MongoDB are so hot these days, why SQL? 3 times in the scene
Panel discussion // Data Driven NYC #9 // Nov 2012
- ▶ 16:02 Christopher Ahlberg We're settling in to be pretty happy with Mongo, but it's sort of been pretty much everything else in between, I think. 2 times in the scene
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 3:23 Dwight Merriman And distributed joins is a hard problem, so the, the solution that's been chosen by both us with Mongo and, and, and the other NoSQL products is to say, you know, we're not going to do joins, and then the question is how do you build… 3 times in the scene
- ▶ 9:34 Dwight Merriman Their general purpose, at least some of them are, and I think that's our goal with Mongo. 6 times in the scene
- ▶ 15:48 Matt Turck 2.2? 7 times in the scene
- ▶ 20:32 Dwight Merriman There's a, when we first started working on it, we were thinking about platform as a service, and having it be part of a stack, and then we focused solely on Mongo fairly quickly, but, um, but that stack was also open source, so it's kind…
- ▶ 24:16 Dwight Merriman And then over time, as kind of things mature, then it's branched out, and now there's a lot of enterprise usage of NoSQL, and including MongoDB, you know, including, you know, Fortune 20 companies and things like that. 2 times in the scene
- ▶ 29:31 Dwight Merriman Um, Mongo uses 2 times in the scene
- ▶ 34:34 unnamed speaker I just want to know when are you going to provide the security for Mongo and also if you're going to go for the government contracts, like a defense contract? 2 times in the scene
- ▶ 37:04 Dwight Merriman Like if you think of full text search, right, with, you know, Verity or Solar or something, you know, it's, that's what I think of as pure unstructured, where in Mongo there is structure, it's just kind of dynamic and polymorphic. 5 times in the scene
- ▶ 40:03 unnamed speaker Uh, I have seen a 2.2 version of Mongo, and I'm wondering, you know, what have you improved on batch aggregation? 7 times in the scene
- ▶ 44:15 Dwight Merriman So I think the way we're thinking about it right now with Mongo is, you know, if you're a startup, you know, you're working in your basement, and, you know, you don't have any money yet, you know, you should have everything you want or… 2 times in the scene
- ▶ 46:23 Dwight Merriman What we do currently in Mongo is we do these little microtransactions, which sort of, say, give you ACID properties, but only on a single document at a time, right? 2 times in the scene
- ▶ 47:26 Dwight Merriman So, I noticed that MongoDB is probably one of the few NoSQL databases out there that isn't the result of a paper from Amazon or Google. 4 times in the scene
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
- ▶ 17:40 Neil Capel First, um, we use MongoDB.
- ▶ 41:44 Nicholas Dandenberg Nicholas Dandenberg from TenGen MongoDB.