Good day, and thank you for standing by. Welcome to the Q4 2024 Datadog Earnings Conference Call. [Operator Instructions] Please be advised that today's conference is being recorded. I would now like to hand the conference over to your speaker today, Yuka Broderick, Senior Vice President of Investor Relations. Please go ahead.

Thank you, Daniel. Good morning, and thank you for joining us to review Datadog's fourth quarter 2024 financial results, which we announced in our press release issued this morning. Joining me on the call today are Olivier Pomel, Datadog's Co-Founder and CEO; and David Obstler, Datadog's CFO. During this call, we will make forward-looking statements, including statements related to our future financial performance, our outlook for the first quarter and fiscal year 2025 and related notes and assumptions, our gross margins and operating margins, our product capabilities, our ability to capitalize on market opportunities and usage optimization trends. The words anticipate, believe, continue, estimate, expect, intend, will and similar expressions are intended to identify forward-looking statements or similar indications of future expectations. These statements reflect our views only as of today and are subject to a variety of risks and uncertainties that could cause actual results to differ materially. For a discussion of the material risks and other important factors that could affect our actual results, please refer to our Form 10-Q for the quarter ended September 30, 2024. Additional information will be made available in our upcoming Form 10-K for the fiscal year ended December 31, 2024, and other filings with the SEC. This information is also available on the Investor Relations section of our website, along with a replay of this call. We will also discuss non-GAAP financial measures, which are reconciled to their most directly comparable GAAP financial measures in the tables in our earnings release, which is available at investors.datadoghq.com. With that, I'd like to turn the call over to Olivier.

Thanks, Yuka, and thank you all for joining us this morning. We had a strong Q4 to end a very productive year. During 2024, we kept building and innovating as we scaled up our teams and went broader and deeper into the problems we solve for our customers from the cloud to AI. We continue to add new customers and expand with existing ones and we delivered more value as customers adopted more products in the Datadog platform. Let me start with a review of our Q4 financial performance. Revenue was $738 million, an increase of 25% year-over-year and above the high end of our guidance range. We ended with about 30,000 customers, up from about 27,300 a year ago. We ended Q4 with about 3,610 customers with an ARR of $100,000 or more, up from about 3,190 a year ago. These customers generated about 88% of our ARR. We had 462 customers with ARR of $1 million or more compared to $396 a year ago. And we generated free cash flow of $241 million with a free cash flow margin of 33%. Turning to customer adoption. Our platform strategy continues to resonate in the market. As of the end of Q4, 83% of customers were using 2 or more products, which is about the same as last year, 50% of customers were using 4 or more products, up from 47% a year ago, 26% of our customers were using 6 or more products, up from 22% a year ago and 12% of our customers were using 8 or more products, up from 9% a year ago. During 2024, we continued to land and expand with larger customers. As of December 2024, 45% of the Fortune 500 are Datadog customers, up from 42% in 2023. We think many of the…

Thanks, Olivier. To start, Q4 revenue was $738 million, up 25% year-over-year and up 7% quarter-over-quarter. To dive into some of the drivers of the Q4 revenue growth. Overall, we saw trends for usage growth from existing customers that were consistent with our expectations. We continue to see conditions that were similar to recent quarters and roughly stable throughout 2024 with continued movement to cloud and modern DevOps technologies, and with customers remaining cost conscious and seeking efficiency and value from their spend. In Q4, we saw usage growth from existing customers that was roughly similar to the usage growth in the year-ago quarter. Next, we continue to see robust contribution from AI native customers who represented about 6% of Q4 ARR roughly the same as the quarter -- as last quarter and up from about 3% of ARR in the year-ago quarter. AI native customers contributed about 5 percentage points of year-over-year revenue growth in Q4 versus 4 points in the last quarter and about 3 points in the year-ago quarter. So we saw strong growth from AI native customers in Q4. We believe that adoption of AI will continue to benefit Datadog in the long term. Meanwhile, we did see some optimization and volume discounts related to contract renewals in Q4. We remain mindful that we may see volatility in our revenue growth on the backdrop of long-term volume growth from this cohort as customers renew with us on different terms, and as they may choose to optimize cloud and observability usage. Next, as we look at usage growth by segment. Similar to recent quarters, we are seeing the strongest year-over-year usage growth from our enterprise customers. Meanwhile, our SMB customers' usage growth remained solid with slight year-over-year acceleration versus last quarter. As a reminder, we define enterprise…

[Operator Instructions] Our first question comes from Mark Murphy with JPMorgan.

Great to see the record bookings in Q4. I'm curious how you're feeling overall about the book of business for AI native customers. We recall you anticipated several months ago that some of them were growing so rapidly that they would increase their commitments with better terms. And I'm curious if the developments that you mentioned on the call, aligned with that, or whether any of that might become so large that they would try to handle observability in health. So in other words, I'm trying to understand if the AI usage and commits are kind of on the same trajectory that they were on or whether you feel that there are some oscillations there.

Thanks for the question. So I think the -- in general, what happened during the quarter is pretty much what we thought would happen when we discussed it in the last earnings call. When you look at the AI cohort, we definitely saw some renewals with higher commit, better terms and optimization usage all at the same time, which is fairly typical, which typically happens with larger end customers in particular is at the time of renewal, customers are going to trying and optimize what they can. They're going to get better prices from us, up their commitments and we might see a flat or down a month or quarter after that, with a still sharp growth from the year before and growth to come in the year to come. So that's what we typically see. When you look at the cohort as a whole, even with that significant renewal optimization and better unit economics this quarter is wholly stable, this quarter as a whole is stable quarter-to-quarter in its revenue and it's growing a lot from the quarter before, even with all that. Now when you talk about like some very large customers that are growing extremely fast, perhaps the fastest we've seen in the tech industry, there are always customers that want to in-house their observability or monitoring. Typically, what we see is it's more of a cultural choice because it's not economically rational unless you have a combination of tremendous scale, exceptional access to talent. And you also don't have a growth that is limited by the engineering bandwidth you have for innovation work this quarter to your business. And so all 3 are typically never true at the same time. If you look at the top 5, 10 companies in the world by infrastructure size today, some don't run any third-party software and build everything themselves, some do run third-party software and do run our service usually on part of their businesses. But really, at the end of the day, like those 5, 10 companies are not the market for selling software or SaaS and they never have been. So the rest of the world is the core market. And when we talk about the AI cohort, what's interesting is not so much this relatively small set of native companies. We see them more as a sign of things to come in terms of a broader AI adoption. So what's interesting to us is how the rest of the world starts operating in our workload and grows into that.

Okay. Understood. And then just as a very quick follow-up, Olivier, either for Olivier or David. All 3 major hyperscalers did miss their Q4 revenue forecast. And they were talking about capacity constraints on the AI side. But the non-AI side for some of them seem to slow just a regular typical cloud migrations. And I'm just wondering if you felt the timing of the holidays, excuse me, had any impact on December or whether their AI capacity constraints might be flowing through to Datadog as well?

Yes. It's hard to tell exactly what's going on with the AI capacity constraint and things like that. If I will adjust to compare and contrast what we do for our growth with the cloud providers, overall, we're growing a bit faster than the cloud providers including the very big bump they're getting from selling GPUs, which is not something we monetize very well on our end, in part because those GPUs are largely attached to trading workloads that we don't have a big role in, but also in part because these are sort of new pieces of infrastructure that we'll have different needs as they become more broadly used by a larger number of companies. If you back out the -- as you mentioned, the GPU related, AI related part of the growth for the top providers, they are slowing down and we are meaningfully outgrowing them, that part of the business. And I think that if you zoom out, that's sort of in line with the broader trend of -- we're driven by -- our business is driven by digital transformation and cloud transformation, which is happening, which will keep happening and we're outgrowing that trend now and in the long run.

Our next question comes from Sanjit Singh with Morgan Stanley.

Congrats on the record bookings quarter in Q4. Olivier, I want to talk on the sales and marketing side, how you're thinking about this year in terms of the magnitude of change versus the prior year, whether it's relating to the investments in underserved geos or the channel partners or continuing to serve the enterprise opportunity? What do you have in store for the sales organization going into 2025?

So we have quite a bit in stores. There's a number of parts of the business we're being a little bit more deliberate about pushing the product, in particular, in the segment where we think we're on the cusp of acceleration in critical mass and we can invest and slip behind that. So there's a few examples. We mentioned, for example, on the -- some of the customer wins we discussed today, we mentioned a number of wins for Flex Logs. And we definitely see the potential for logs and Flex Logs, in particular to get much broader adoption in the market. We also see a very interesting and timely competitive opening there with some of the bigger players being taken out recently. So there's efforts like that, that we're pushing into. Another example we gave on the call of the product that's exciting to us right now is OnCall. OnCall is brand-new, just entered GA, but demand is very, very strong. So we are making sure that we have the right programs from a go-to-market perspective to make sure those products can take off as they should. So if you zoom out from the specific product related programs or the specific partner related or segment related because there's a number of those. What we're doing really that matters is we are growing the sales capacity. We've been growing the sales capacity last year. I would say we probably got a bit of a slower start last year in the first half of the year at growing sales capacity than we would have wanted. We accelerated that throughout the second half of the year. We're still accelerating the sales capacity growth, and we expect to see the results from that. The good rule of thumb is when you invest in sales when you hire sales and marketing, you start seeing the impact in 1 to 2 years after that. When you hire engineering and you build the R&D capacity, you start seeing the impact within 2 to 3 years after that. So that's the -- we're pushing towards that.

That makes total sense. And just as a follow-up, actually, I was going to ask about logs and Flex Logs, it sort of dominated a lot of your customer highlights this quarter. In terms of like logs becoming sort of renewed focus across the sort of observability stack. You obviously have some incumbents. But is there anything sort of changing technologically. You guys have obviously, I think, rearchitected your log platform. But what seems to be driving the renewed interest in logs and cloud SIEM that get you excited about the opportunity?

Well, it's a combination of -- there's definitely new interesting technologies and economics that relate to these technologies that resonate well with customers. So now you can keep a lot more data and keep it for a lot longer and it's a lot more cost efficient. And so that's definitely 1 aspect. Second aspect is modernizing the stack is something that's really cloud first cloud-based, which was not the case of the platforms that we're mostly used before that. And then there is interesting opportunities to also unify some of the operational aspects of the security aspects. So we -- alongside with Flex Logs, we also see quite a bit of demand for Cloud SIEM and we think the competition of those is very interesting. So I would say all those together would drive the renewed specific interest in that part of the business and why we're pushing this.

Our next question comes from Raimo Lenschow with Barclays.

Perfect. A quick -- there's a lot of focus on the big AI guys at the moment. But how do you -- I mean that's -- but it's only the starting point for the AI opportunity. Can you see like what you see in first feedback on people looking at inference workloads and trying to have observability on them because I would assume in the long run, that's probably the big opportunity. What do you see there? And then a question -- I have a follow-up for David.

Yes. So on the inference side, the -- mostly still what customers do is they use a third-party model either through an API or through a third-party inference platform. And what they're interested in is measuring whether that model is doing the right thing. And that's what we serve right now with LLM observability, for example, as well, we see quite a bit of adoption that does not come largely from the AI-native companies. So that's what we see today. In terms of operating the inference stack fully and how we see relatively few customers with that yet, we think that's something that's going to come next. And by the way, we're very excited by the developments we see in the space. So it looks like there is many, many different options that are going to be viable for running your AI inference. There's a very healthy set of commercial API-gated services. There's models that you can install in the open source. There are models in the open source today that are rivalling in quality with the best closed API models. So we think the ecosystem is developing into a rich diversification that will allow customers to have a diversity of modalities for using AI, which is exciting.

Okay. Yes, that's really exciting. And then, David, like if you think about the increased investments that we're seeing across sales and marketing and R&D, obviously, we could have kind of taken kind of an accelerated approach or an approach there like this time last year, the year before, et cetera. What drives your confidence or what drives the decision to kind of think this year? Like what are the signals that you're seeing out there to kind of get you excited about that?

Yes. It's really bottoms up. We look at the geographies in one case where we see the white space and the evidence of success and attainment and the accounts that, as we talked about internationally, we don't fully cover. Next, as you know, we've been developing our channel and our partnerships. We think there's a big opportunity there. So we've been increasing our investment and see return on that, the percentage of our sales that are affected by channel partners has been increasing. So there's evidence there. And then in terms of across the different types of customers, we see very large enterprise customers that need to be treated in a certain way and have been increasing the way we go to market. Of course, we go bottoms up, but we also have an increasing effort in some key accounts. So all of those things are based on the evidence of the demand cycles we see in our results to date.

One thing to keep in mind when we look at -- because I know something that's in the back of the mind of many of our listeners here, when we look at growing the sales capacity and the relationship between that and how we think we're going to grow the business and guidance for this year and things like in particular, remember that the revenue comes on usage and usage is only loosely related to in time to the bookings we get from the sales team. And so when we think about the guidance we're putting forward and what we're looking at for the year, it's all based on usage -- recent usage trends that we discounted to the future. And it doesn't really incorporate a lot of the longer-term gains we get from the scaling of the go-to-market.

Just adding one more thing. I think we said that in 2023, with the risks that we saw in the market that we did take a prudent approach and we slowed down the growth of the go-to-market. So there is some of catch-up essentially, as these are things that we pulled back on a little bit, took a little more conservative approach. And once we saw the evidence in some of these territories, we began to accelerate. And if you look at the sales and marketing investment in the second half of the year, you'll see that we started to be successful in increasing our quota capacity and our go-to-market investments.

Our next question comes from Kash Rangan with Goldman Sachs.

I'm wondering if I could get your assessment of the disparity between the strong forward-looking indicators, so it's RPO, CRPO, forward-looking event of the business versus the conservative guidance. Any thoughts on that? Is it a bit more conservative given that your forward-looking indicators actually look a little bit stronger than one would have expected. And second, maybe this is 1 for you, David. Is there, at the margin, any change at all with respect to the usage upside versus the commitment that customers are making. And therefore, that could help understand why the guidance is what it is.

So I think on the first question, really that's what I was just commenting on, which is that the revenue report is based on usage. And we only know when we get the usage from customers. And it's not directly linked in time to the bookings. In many cases, the bookings come ahead of the revenue. So we'll have a new customer, and it's going to take them time to ramp into their commitment. In some cases, the bookings can trail the revenues, okay, say, customers grew a lot and they were -- they had a lot of already uncommitted revenue and then we will commit to some part of that over time. So there's less of a direct relationship there. Again, when we look at guidance.

Probably I get that, I think you explained it. But at the margin, how do you convert those commitments into usage? I mean are there things that you're emphasizing in the organization to get better conversion in a shorter span of time. That was really the heart of the question. If I'm not clear, sorry about that.

Yes, there's a number of things we're doing for that, right? I mean part of it is the usual question of how much of your comp plan on the sale side should be usage versus bookings. And we've definitely experimented with some different ratios there, and we try to optimize for the best outcomes. But in general, again, just if I go back to the biggest question, which is what's the relationship between what we see there and the guidance, guidance is really based on the recent trends, and we extrapolate them with some discount. So by definition, even though we see acceleration from the drivers, we ourselves invest more in some areas, it's unlikely that we -- unless we see direct acceleration in the recent quarter that we -- you will see accelerating a number of the guidance there. Just because of the way this is constructed. But we're very disciplined in terms of sticking to the usage trends there.

Yes. Just to add. I think we've said that in some quarters, the bookings and RPO numbers might diverge from the ARR and revenue growth. I think in this quarter, you see there's pretty good convergence, right? They all point to the same range, et cetera. We certainly have the motion, as you mentioned, of assigning commits and then working with clients to use those commits and then go above that. That hasn't changed. So the amount of spread between usage and commits is similar to what it's been. I think you're correct. A lot of what we do operationally in our customer success, our technical account management, our product management, our marketing is about trying to get our customers to use more of the platform. And in the metrics we show, both in terms of revenues of the different product areas and in the cross-sell metrics that continues to be strong. I echo what Oli said was when we provide the guidance, we really haven't changed our methodology. We take what we know from those trends and we've essentially put conservatism going forward. So I think you can't necessarily go on to 1:1 there, and we've not changed our approach in doing that and providing guidance.

Our next question comes from Matt Hedberg with RBC.

David, for you, it was nice to see NRR pick up a bit. And I realize it's a trailing 12 metric, and this year was met with a lot of stability here. I'm just sort of curious when you think about that going forward, what have you embedded from a retention perspective in your '25 outlook? And then maybe to put a finer point on the digital -- the AI native question earlier. Does your guidance assume that we see a pretty stable contribution there throughout the year?

Yes. So on the first question, yes, it has been ticking up. And then what we do essentially, there's really 2 inputs into revenue guidance. One is -- and the largest one is what is net retention and the other is what contribution from new. And we essentially, as you know, and you can probably figure that out, we do take the net retention and then discount that. So that's what we look at. In terms of the AI contribution, I think we try to embed that in the level of the discount, I think we essentially don't assume that there's going to be some non-pro rata acceleration of AI. There may be, it's a big opportunity, but we don't assume that. So we try to take the conservatism that we have in our net retention or expansion rate and apply that across the customer base, not being smart enough to know exactly where it might be or not be.

Our next question comes from Koji Ikeda with Bank of America.

I appreciate all the disclosure on ARR coming from the 3 core pillars here on infrastructure monitoring, APM and logs. And so as we move into 2025 and beyond, how do you think about the potential for infrastructure monitoring specifically the growth there to accelerate from current levels? And what would be the trigger for that?

It's a good question. I think there's -- first, there's a number of new use cases that are emerging that are related to infrastructure that we might want to cover. Again, we -- when I say they're emerging, they're actually emerging, like we still have to see what the actual need is from a large number of customers. I'm talking in particular about infrastructure concerns around GPU management, GPU optimization, like there's quite a lot going on there that we can potentially do. But we -- for that, we need to see broad usage of the raw GPUs by a large number of customers as opposed to usage by a smaller number of native customers, which is mostly what we still see today. There are some interesting pockets of the market that we don't get into today because there are still some large IoT fleets or on-prem fleet. So things that are part of our customers set up that we were not built from day 1 to handle, but that are not becoming part of the picture as those customers settle in some form of mix of what they have on the cloud and what they keep on-prem. And so we see some opportunity there, too. So there's a number already has where we can progress on the infrastructure side. Another area is network monitoring, which we've been building up. So there's a few things there. But we definitely still see quite a bit of opportunity. The largest opportunity, of course, is that look, even for faster monitoring, where we're clearly the leader, we still have a relatively small part of the market that is growing in the cloud. And so a lot of our efforts have to do with making sure that one, we will land enough of the right customers. Now again, we still have a bit less than half of the Fortune 500 customers today. And then for those customers, we get into all of their workloads, all of their environments and we keep going at.

Got it. And just a follow-up here on FX and the impacts to revenue and guidance. And so I know the vast majority of contracts are in USD, about 30% of revenue being international. Are you considering some changes in pricing and packaging, making pricing more localized for international customers? And then also trying to understand any benefits to operating margin from FX in 2024 and how that may be accounted for in the 2025 guide?

Yes. As you know, we are largely a U.S. dollar-based company. Our exposure is not very high. We have -- we do occasionally look at local billing. It's not something that is significant. I think that's all wrapped up into our offers to our clients. And I think unlike other companies that have been reporting, FX is not a very major effect on our financial results.

Our next question comes from Eric Heath with KeyBanc.

Oli, you talked about Flex Logs having a lot of success, some M&A in the marketplace that's opened up some opportunity. But just curious from displacement activity that you're seeing with some of the recent M&A takeouts on the SIEM and log management vendors and curious also what your ability is to win both the logs and security use cases because in our feedback, talking to customers and channel, it sounds like it's oftentimes one or the other, but not both loads. So, I'm curious your ability to win both of those workloads.

Yes. So it happens is -- so first of all, we see a lot of success with the -- some of the migrations in particular to Flex Logs. The majority of the use cases are around the DevOps as opposed to SIEM to start. But we do see a number of opportunities that come solely from SIM to start with. You're right that they typically don't come together because the 2 are typically purchased by different parts of the org, and maybe they come up at different times or maybe the motivations come from different parts of the org to consider a change. So what we see is that in the growing number of migration to Flex Logs we've seen, we typically start with a few workloads in Flex Logs and ops. And then after that, we see more workloads in ops open and some conversations on the SIEM side. I would say historically, the SIEM side has been harder to convert because it is more heavily entrenched with a lot of specific queries and workflows that are built on top of legacy products. But we've developed a lot of functionality to not only come to parity with all the functionality that has been used for those custom bits, but also to help customers directly migrate that. And that's part of the efforts that are coming to bear this year in terms of being able to accelerate in the go-to-market with those products.

Awesome. And Oli, I'd love to just get some of your thoughts on Agentic AI and AI generally. Just curious, when we think about agents, which parts of the core observability platform that you think are most relevant or going to be most beneficial to your business as you start to monitor those?

Yes. Well, first of all, it's a bit hard to tell because it's a very nascent field. So my guess is in a year if we probably look different from what it looks like today. Just like this year, it looks very different from what it looks like last year. What we do see, though, is that -- so when we built -- we started building our LLM Observability product, most of the use cases we saw there from customers were chatbot in nature or RAG in nature, trying to access information and return the information. Now we see more and more customers building agents on top of that and sending the data from their agents. So we definitely see a growing trend there of adoption and the LLM Observability product is a good level of abstraction, at least for the current iteration of these agents to get them. So that's what we can see today. In our internal developments, obviously, we use our own products heavily for that. And we see a lot of different opportunities to automate work with agents on top of our platform. I would say, though, that we also do see new modalities, different modalities for developing those agents and the market is changing very, very quickly there.

And our final question comes from Patrick Walravens with Citizens JMP.

Great. So Oli, I think you started touching on this, but you guys help your customers to digitally transform. But when you look inside of Datadog, what are some of the processes and the areas where you see the possibility to really drive some improvements.

Inside Datadog?

Yes, inside Datadog.

Well, everywhere like the -- what's fascinating about the current evolution of AI, in particular, is that it touches a lot of the different areas of the business. The first area for company like ours the first area to be transformed is really the way software is being built. What engineers use, how they write software, how they debug software, how do they also operate systems. And part of that is outside tooling we're using for writing software. Part of that is dogfooding or new products for made incident resolution and that sort of thing. So that's the first area. There's a number of other areas that are going to see large improvements in productivity. Typically, everything that has to do with supporting customers, helping with onboarding and helping troubleshoot issues like all of that is in acceleration. In the end, we expect to see improvements everywhere, from front office to back office.

And then the follow-up on that is, do you see your efficiency as an organization overall increasing where you can just grow with sort of the same number of people? Do you feel like in the future, you're going to need to add the same amount of headcount to drive growth as you do today?

Well, I mean, in general, just to the level set, we have a very efficient customer organization already, like we have really sales efficiency metrics. We have -- we've been highly innovative, growing fast and at the same time, we've shown that we could deliver very good margins all the way to the bottom line. So I consider ourselves to be a very efficient organization. Right now, any productivity we gain on the R&D side is reinvested in building more and delivering more functionality and generating more growth. I would say in the short to mid-term, we should expect also that any productivity we gain on the other side of the business is also going to be reinvested in R&D and building more and getting more differentiation or in getting more scale faster on the GTM side. So for the short to midterm, that should be the expectation. Long term, I was always expecting us to be a very efficient company and a highly profitable company. And I think all of those advances are only going to emphasize that.

This concludes the question-and-answer session. I would now like to turn it back to CEO, Olivier Pomel for closing remarks.

All right. Thank you. And again, I want to thank the team for a super, super productive year. We have a lot planned, whether that's on the go-to-market side and the scaling the company on the product development side for 2025. So I'm really impatient to see how this unfolds and to share with everyone and our customers, in particular, everything we've been working on. So thank you all.

This concludes today's conference call. Thank you for participating. You may now disconnect.