MongoDB, every mention
104 scenes, the whole family · ← back to MongoDB
tap a year for its mentions
every year 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
AI That Ends Busy Work — Hebbia CEO on “Agent Employees”
- ▶ 40:23 George Sivulka BMC and AppDynamics, and now they went to MongoDB, and they're all kind of like the same thing.
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 6:33 Evan Kaplan People have built time series on Mongo.
- ▶ 14:35 Evan Kaplan Use Mongo, use Postgres, use some, use something else, right?
- ▶ 29:21 Evan Kaplan I can use Mongo's time series stuff.
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 4:49 Justin Borgman You'd think of Oracle or MongoDB as being two very prominent examples on that side of the house.
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 44:38 Matt Turck Uh, the, uh, only problems, like, fast forward a few months, then the general purpose databases, like the mongos of the world, starting, um, started launching vector search features.
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 45:08 Erik Bernhardsson I look at, I mean, to me, like actually like the best companies and, and, you know, that, that I look at for inspiration would be like, you know, Datadog or Mongo or something like that, like started with, or AWS actually, frankly, like…
- ▶ 50:15 Matt Turck Uh, you know, uh, even when proven otherwise by Mongo and Datadog.
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 19:49 Matt Turck So you started with the oracles of the world, uh, and then as a next phase, you had all the, the NoSQL databases, the, you know, mongos, and then you had the time series databases and the graph databases as, as we discussed, but as… 2 times in the scene
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 46:31 Eric Glyman Datadog, MongoDB, extraordinary, you know, some one is data in the name.
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 10:05 Aaron Katz And that's how Mongo did it with, uh, with Atlas subsequently becoming such a popular cloud offering. 2 times in the scene
- ▶ 10:05 Aaron Katz And that's how Mongo did it with, uh, with Atlas subsequently becoming such a popular cloud offering.
From Tiny Romanian Startup to Global AI Automation Leader | Daniel Dines, CEO of UIPath
- ▶ 28:46 Matt Turck MongoDB, yeah.
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 37:08 Matt Turck Or in a context where some of the more general purpose players like the MongoDBs of the world have started announcing vector capabilities, you know, is that good enough?
Vector databases and the $8 trillion open source market | Bob van Luijt, CEO of Weaviate
- ▶ 22:39 Matt Turck I suspect the answer is going to be the same, but so what do you make of, uh, the more general purpose databases entering the field of vector databases, MongoDB in particular? 6 times in the scene
Building LlamaIndex: Jerry Liu on Scaling Retrieval-Augmented AI
Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- ▶ 12:06 Jeff Huber You can look at Mongo, Elastic, many examples of this.
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 3:50 Jaime & Tobie Morgan Hitchcock You can store data in a similar way to how you would with MongoDB. 2 times in the scene
- ▶ 20:49 Jaime & Tobie Morgan Hitchcock But at the same time, everything we do do, we want to be performant and, you know, similar performance that you would expect from something like MongoDB.
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 6:08 Dimitri Sirota Uh, secondly, you have to be able to look everywhere, because the people that wrote these regulations know nothing about what a CockroachDB is, or what a SQL is, or what a, um, a Mongo is.
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.
Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
- ▶ 0:28 Emil Eifrem Like Mongo, for example, who is kind of the, the, the early mover in the, let's call it the, the broader modern non-relational database space. 4 times in the scene
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 1:32 Aaron Katz Let's just use Mongo for argument's sake. 2 times in the scene
Fireside Chat: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 0:10 Matt Turck Maybe, uh, as a level set for folks, uh, a quick run through, uh, the history of MongoDB at, uh, at a quick pace. 8 times in the scene
- ▶ 6:18 Matt Turck Actually, on that, on that, uh, on that note, like any, um, you know, building, BladeLogic was based in Massachusetts, uh, Mongolton being built in, um, in the, in New York, at least originally, even though I think you had also a core… 4 times in the scene
- ▶ 9:58 Matt Turck I'd love to chat about, uh, product and, um, in particular Atlas, which has been this, um, incredible success story. 6 times in the scene
- ▶ 18:10 Matt Turck Um, what's been really interesting when I was, uh, when I was researching this and ahead of this talk, like I actually, I hadn't realized to which extent the, the MongoDB open source project has continued to just like explode in, in… 14 times in the scene
- ▶ 23:49 Dev Ittycheria So obviously with Atlas, it has to be deployed and delivered to the cloud, so we have to work with cloud providers. 3 times in the scene
- ▶ 29:24 Matt Turck Is that, is that for a company of the, you know, global scale of Mongo, is that, is that still the core motion? 9 times in the scene
- ▶ 41:22 Dev Ittycheria Um, we made an acquisition of MLab, which is like a first generation databases service offering in MongoDB. 6 times in the scene
- ▶ 41:29 Dev Ittycheria Um, get some customer momentum or an Atlas.
Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
- ▶ 23:50 Matt Turck And I see a couple of questions, which I think you covered, uh, during the discussion, uh, like is materialized a, a relational model like Oracle, no SQL like Mongo.
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 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)
- ▶ 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.
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 20:42 Matt Turck Uh, and in, uh, there's Confluent, made some announcement recently with this, uh, Mongo and like much of, of, of others.
- ▶ 27:08 Amr Awadallah So for MongoDB, for example, and Cloudera, they're doing it to span multiple systems, right?
NLP—The Most Important Field of ML // Clement Delangue, Hugging Face (FirstMark's Data Driven NYC)
- ▶ 19:53 Clement Delangue Matt talked about, uh, Mongo with, with the CEO coming to this meetup in a, in a few weeks.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 8:26 Mike Volpi A number of companies, whether it's Mongo with Atlas, Elastic with Elastic Cloud, Confluent with Confluent Cloud, Cockroach just got Cockroach Cloud, they're basically taking their open source software and running it, and there you charge…
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 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…
- ▶ 11:02 Justin Borgman Um, you might be looking at, you know, a whole host of other data sources, like Kafka, or MongoDB, or some new technology X.
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 17:42 Matt Turck This, this evolution where big cloud providers are increasingly taking successful open source company and open source projects, so in the case of Kafka, I guess Confluent, but I guess just last week there was this announcement, you know,… 2 times in the scene
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
- ▶ 7:21 Ajay Kulkarni Technologies and companies like, you know, Hadoop and Cassandra and Mongo, we believe this new era is going to lead to another wave of foundational companies and technologies, and we believe, we believe time skill is poised to be one of…
- ▶ 9:10 Ajay Kulkarni You know, as an example, here's how Timescale, TimescaleDB, our product, compares to, uh, MongoDB, uh, and given the same hardware, we're seeing not just higher insert performance, but hundreds to thousands of times faster queries.
- ▶ 16:53 Ajay Kulkarni In revenue, which is more than Mongo's making already, which is crazy.
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 1:53 Chris Dixon It used to be only kind of ad tech, and now, you know, you have all sorts of, uh, you know, I think Mongo is based here, uh, you know, Greenhouse is a great company, um,
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 0:11 Matt Turck Um, so you are the CTO and co-founder of MongoDB, um, which is, uh, the most popular NoSQL database, uh, at least as judged by DB engines, which keep track of the things, and the fourth, uh, most popular database overall. 7 times in the scene
- ▶ 1:58 Eliot Horowitz We started as TenGen, so we started building this thing in, ah, the fall of 2007, and we really started building it based off some pain points we had, you know, building our own applications, and if you looked at sort of why we started… 3 times in the scene
- ▶ 2:40 Eliot Horowitz And the original 10 gen platform was a little bit different, so it was MongoDB, it wasn't called MongoDB then, but it was MongoDB as a database layer, and then a JavaScript based platform was a service on top of that. 4 times in the scene
- ▶ 4:03 Eliot Horowitz The nice thing about MongoDB was that it was compelling enough, even in sort of its very first early incarnations, that people sort of saw promise, right? 6 times in the scene
- ▶ 4:51 Matt Turck Ok, well, speaking of NoSQL, so we have, um, we have a broad audience here, we have a bunch of people who presumably live in Mongo and are technical, and, and we also have people who are more on the business side, so let's start at a, at a… 5 times in the scene
- ▶ 7:45 Matt Turck So for the, maybe for the more, uh, technical people in the audience, um, so last year was a very important year for Mongo in terms of product release, so, uh, you know, maybe a few months before that, there were, there was chatter around… 7 times in the scene
- ▶ 8:06 Matt Turck Um, and then a three dot two, and so the three dot release, I think, came partly through an acquisition, but it brought document level concurrency, storage engine API, that type of thing. 3 times in the scene
- ▶ 8:06 Matt Turck Um, and then a three dot two, and so the three dot release, I think, came partly through an acquisition, but it brought document level concurrency, storage engine API, that type of thing. 3 times in the scene
- ▶ 11:07 Eliot Horowitz So, again, as a lot of enterprises are usually putting more and more data into MongoDB, 5 times in the scene
- ▶ 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… 3 times in the scene
- ▶ 13:40 Eliot Horowitz As all of these things have matured, as MongoDB has matured, it can solve more and more problems, and no one I ever talk to wants to have 15 different databases in production. 6 times in the scene
- ▶ 16:26 Eliot Horowitz And at the same time, in our BI connector, trying to make a completely standard SQL driver for MongoDB that speaks sort of like very basic SQL, but that lets you get access to that data for your sort of legacy tools, or for your BI tools. 4 times in the scene
- ▶ 18:15 Matt Turck Like, help us, I mean, you can badmouth competitors if you want, but, but, uh, help us understand, like, in the, in the most possible sort of objective way, how, how to think about those different, uh, companies, or, or, or maybe why, why… 3 times in the scene
- ▶ 21:23 Eliot Horowitz You know, a typical way MongoDB moves into enterprise is you get some developer who tries it out for some small application, maybe it's a logging application or something on the side, that if it goes down, you know, it doesn't matter at… 6 times in the scene
- ▶ 23:40 Eliot Horowitz So the tools I mentioned before, like the BI Connector and Compass, are really tools for enterprises, and those are, you know, paid for products.
- ▶ 24:44 Eliot Horowitz One is a cloud manager, will let us, you know, manage your MongoDB deployment for you, either in the cloud, or frankly not in the cloud, or both, where if you don't want to have to think about upgrades, or all those sorts of things, you…
- ▶ 25:57 Eliot Horowitz So in MongoDB it's a little different. 3 times in the scene
- ▶ 26:23 Eliot Horowitz And we sort of integrate with Amazon, so if you want to use Amazon and MongoDB, you can go ahead and go to Cloud Manager today, put in your credentials, and we will just spin stuff up in your Amazon account for you, and we'll manage it for…
- ▶ 27:27 unnamed speaker Uh, that SourceForge moment four months after you launched feels like a big moment for MongoDB, the fact they moved everything over to Mongo, where you guys had just launched. 6 times in the scene
- ▶ 29:35 Tony Baer Okay, um, Tony Baer with Ovum, and I've had a long admiration for Mongo, and you guys have gone through a very interesting transition over the past year with the Three-O product, where basically you did a heart transplant, basically, going… 3 times in the scene
- ▶ 29:35 Tony Baer Okay, um, Tony Baer with Ovum, and I've had a long admiration for Mongo, and you guys have gone through a very interesting transition over the past year with the Three-O product, where basically you did a heart transplant, basically, going…
- ▶ 31:49 Eliot Horowitz So our Compass product actually is probably the closest thing to sort of starting to play with how you visualize these things graphically. 2 times in the scene
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 3:24 Peter Fenton You know, MongoDB was, was a company, my partner, who's now retired, who sees more problems than opportunities, and I say that in jest.
- ▶ 25:11 Peter Fenton So you look at, in any open source project, if it's not licensed the right way, ah, this is an interesting debate, the, the, the Mongo strategy is interesting, but, you know, the problem, here's the problem, is that top of funnel.
10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
- ▶ 5:37 Shant Hovsepian So, there are lots of, we're very fortunate now, uh, Hadoop, Big Data, Mongo, Cassandra, the industry has really, really, really developed a lot, and we have a lot of amazing native tools that you can use for analytics. 2 times in the scene
- ▶ 8:26 Shant Hovsepian Mongo has an amazing Mongo. 2 times in the scene
- ▶ 12:12 Shant Hovsepian Mongo, right? 2 times in the scene
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
A Fireside Chat with MapR CTO M.C. Srivas (Data Driven NYC / FirstMark)
- ▶ 23:10 M.C. Srivas So, so you have like, you know, couch guys don't like Mongo, Mongo doesn't like HBase, HBase doesn't like Cassandra, and all that stuff.
Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)
- ▶ 13:06 Ramana Rao So Elasticsearch is particularly good for certain things, uh, Mongo for other, and so on.
Michael Karasick, IBM Watson // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
- ▶ 22:03 Matt Kroll I work for MongoDB.
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 3:28 Mike Olson Um, but, ah, Keith and Michael Call, also from Sleepy Cat, just announced today that MongoDB has acquired Wired Tiger.
Vijay Subramanian, Rent the Runway // Data Driven NYC 23 // January 2014
- ▶ 17:43 Vijay Subramanian Uh, we use Mongo for a product catalog. 2 times in the scene
Ian White, Sailthru // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
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
page 1 of 2 · 100 scenes per page · newest episode first next →