MongoDB Inc at Goldman Sachs Communacopia & Technology Conference Summary

The following is excerpted from the question-and-answer section of the transcript.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : <_ALACRA_META_ABSTRACT>So with that introduction out of the way, Dave, congrats, what a journey. I mean, that quarter was incredible. What's ahead for Mongo? So I keep asking you the same question. I think this is the fourth year in a row, we're doing this together. What is ahead, and what has changed in your assessment as to where MongoDB is going in the next four to five years? What's the landing point?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Yeah, that was going to be -- you read my mind. It's going to be the next question. So the past 10 years have been all about pivoting to the cloud, large-scale transaction systems that people thought know SQL databases were not the best optimized part, but then you got over there, and we were asset compliant and transactionally, everybody has fall tolerant scalable as any other prehistoric relational database. So the next chapter, do you -- what do you think about the opportunities and the risks presented by AI? Not every company -- you and I have been through a couple of tech cycles and transitions. People from the old cycle, not just -- I mean, it's unfair to say they don't make it, but they kind of make it at different points in times, so Oracle, SAP, Microsoft. They all gone on the cloud wagon at different points in time -- cloud bandwagon, I said that too quickly. How do you see MongoDB poised for the AI cycle opportunities and risks wise?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : And it could be the pitch on a cricket field.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : The pitch of a cricket field.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : And it's -- is it just luck or thoughtful planning that the database architecture had evolved in such a way that you could take on AI because generationally speaking, databases that made it in the client server on-prem era or suited and you have hyperscalers, their databases, and you had your database. So is it just good fortune or some thoughtfulness?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : See, these are things we don't pick up on an earnings call. I mean, people don't ask these kinds of questions. That's why these firesides, I hope they happen more than once a year, but we do have once a year and thank you for that. So Matt wants to put Mike on the spot.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : So that's the definition of an embedding model (inaudible) I'm going to use it.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : I love the way this conversation is going because we're getting into it, the details of it. At a point in time when we're between two cycles, the cloud cycle and the next AI cycle, these kinds of questions and the discussion, the depth of discussions we're having, we barely gotten to three or four questions here. But it's super important if you are to paint the case for a durable growth company over the next seven to eight years. If you get certain things right at the front end of the cycle, you got then the questions in the next few years will be consumption patterns quarter-to-quarter, net expansion lands. But if you get this criticality at this point in time, right, I think it's just a really good story. So I wanted to -- so I want to be a little humorous. Maybe Postgres should be called pre-JSON. Okay. So I want to come back to a point you made earlier about how this healthcare company, they have their own lexicon lingo, which is -- is it reinforcement that the value of enterprise data is very high. And If I take that at face value, it would be super hard for the LLMs foundation models, without naming any one by name because we're going to have a couple of the executives at the conference here. Why would they be successful in SaaS?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Why should investors believe that foundation models are going to be slam dunking SaaS? And because what you said, the value of the data, right, it's very private, and it should not be accessible to the public world outside.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Got it. Matt?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Any questions? Yes, please on. Yes. All right. Before the mic gets over to you, just speak loud. Unidentified_1 (inaudible - microphone inaccessible)

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Time for maybe one more question, a really good one. There's a good one -- I'm sorry, we already have -- Unidentified_1 Hi, guys. Good to see you, Dev. Maybe for Mike, just in terms of the CFO philosophy, I would have described kind of the first chapter of MongoDB's public history from a margin perspective as very incremental, like growth first, explosive growth and incremental margin expansion when the company was public, non-GAAP operating margins were deeply negative. What's your philosophy at this point? Like is it -- is that kind of step incremental increase in margins, how we should think about things going forward? Or is there an opportunity for more of like a larger step-up and GAAP operating margins getting to a more normalized level?

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : On that note, Dave, congrats on the great milestones at Mongo. And databases used to be very boring when I started on the sell side, and you made it exciting. You're the steward of the transaction database ready for the AI world. So thank you for all the great work you're doing for the industry, for our investors. My pleasure to meet you. And let me be the first to welcome you back to 2026 to meet me at Communacopia.

Question: Kash Rangan - Goldman Sachs Group Inc - Analyst : Thank you so much.