Datadog, Inc. Price & Performance (DDOG)

Thank you, Daniel. Good morning and thank you for joining us to review Datadog's fourth quarter twenty twenty four financial results which we announced in our press release issued this morning. Joining me on the call today are Olivier Pamel, Datadog's Co Founder and CEO and David O'Ks, Opezler, 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 twenty twenty five 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 are such 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, we have referred to our Form 10 Q for the quarter ended 09/30/2024, Additional information will be made available in our upcoming Form 10 ks for the fiscal year ended 12/31/2024 and other filings with the SEC.

This information is also available on the InvestorRelationssectionofourwebsitealongwithareplayofthiscall.WewillalsodiscussnonGAAPfinancialmeasures,whicharereconciledtotheirmostdirectlycomparableGAAPfinancialmeasuresinthetablesinourearningsrelease.whichisavailable@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 saw 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 $738,000,000 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 customers generated about 88% of our ARR. We had four sixty two customers with ARR of $1,000,000 or more, compared to three ninety six a year ago, and we generated free cash flow of $241,000,000 with a free cash flow margin of 33%. [indiscernible] Turning to customer adoption. Our platform strategy continues to resonate in the market. As of the end of Q4, 83% of customers were using two or more products, which is about the same as last year. 50% of customers were using four or more products up from 47% a year ago. 26% of our customers using six or more products up from 22% a year ago, and 12% of our customers were using eight or more products up from 9% a year ago. During 2024, we continue to land and expand with larger customers, As of December 2024, 45% of the Fortune five hundred are Datadog customers, up from 42% in 2023. We think many of the largest enterprises are still very early in their journey to the cloud. The median Datadog ARR for our Fortune 500 customers is still less than $500,000 which leaves a very large opportunity for us to grow with these customers.

So we're serving more customers with more products. And we are also very pleased to celebrate several milestones for the business. First, our total ARR now exceeds $3,000,000,000 a big achievement for all of us at Datadog, even though we're still only just getting started. And we have achieved this milestone largely by growing our first product, in photorectal monitoring and expanding into the other pillars of observability, APM and log management. Today, infrastructure monitoring contributes over $1,250,000,000 in AR. But we didn't stop there.

Log management is now over $750,000,000 in ARR, and so is our third pillar as our end to end ATM products together also exceed $750,000,000 in ARR. Note that end to end APM includes all the dialogue products customers use to monitor their applications. Which our core ATMs, continuous provider, [indiscernible] Now remember that even in these three pillars of observability, we're still just getting started. As more than half of our customers do not buy all three dealers from us. At least not yet. Meanwhile, we are making progress with our other products, and we are pleased to see them increasing in customer usage and growth. Products outside the three pillars now contribute over $200,000,000 in ARR. And we are excited about our growth opportunities in many new products in this group. Now let's discuss this quarter's business drivers. In Q4, we saw usage growth from existing customers that was roughly similar to the year ago quarter. While usage growth during the quarter generally played out as expected, including a stronger October and November, and the slowdown we typically see at the December. We continue to experience a stable business environment and our customers overall are growing their cloud usage.

While some are continuing to be cost conscious. We also hit a new record in bookings this quarter. As our go to market teams executed on first ever quarter over $1,000,000,000 in booking, As a reminder, our bookings don't transfer immediately into revenue growth. But it is an indicator that we continue to serve our new and existing customers well. And they are growing with us over time. Finally, churn has remained low. With gross revenue retention stable the mid to high 90s. Highlighting the mission critical nature of our platform for our customers. Moving on to R and D. And what we built in 2024. We released over 400 new features and capabilities this year. Now that's too much for us to go about today, but let's go over some of our innovations. First, we continue to improve the Datadog platform. We now have more than eight fifty integrations making it easy for our customers to bring in every type of data they need benefits from all the new AWS, Azure, GCP and OCI capabilities and engage with the latest technologies like the newly emerging AI stack.

We announced Kubernetes auto scaling to help customers write size the Kubernetes environments without impacting stability and performance. We launched Datadog Monitoring for Oracle Cloud Infrastructure so customers can now monitor their OCI stack and unify their monitoring across all clouds and on prem environments. We took several big steps to expand on Datadog as the best of the Adobe platform including making our infra monitoring and APM instrumentation fully interoperable with OTEC components and improving the experience for OTEL customers by embedding the hotel collector directly with his better agent.

In the NextGen AI and NLM space, we continue to add capabilities to this AI launching BITS. Ai for incident management and previewing BITSAI for autonomous investigations. We launched L and M observability and general availability to help customers evaluate safely deploy and manage their models in production. And we continue to see increased interest in NextGen AI. At the end of Q4, about 3,500 customers use one or more Datadog AI integrations, to send us data about their machine learning, AI and ML usage. [indiscernible] In the end to end ATM space, our error tracking product now allows customers to view and manage errors [indiscernible] applications and logs, in one place. We kept building our better observability including the launch of Datadog job monitoring, have data engineers detect problematic spark and data break jaws anywhere in their pipelines, And we expanded the technologies we can provide deep insights into such as Amazon SQS, data stream monitoring, and MongoDB in database monitoring. In digital experience, our customers cannot use our mobile app testing to test iOS and Android applications on real low iPhones We allow faster investigation of mobile IP issues with mobile session replay. And while product analytics remained in early stages, we are encouraged by customer interest in using Datadog analyze user behavior for better business outcomes.

Log management, Flex Logs launched into general availability and customers can now cost effectively retain and analyze massive volumes of data over long periods of time. We expanded log workspaces for advanced analytics and querying. [indiscernible] With new out of the box template and granular configuration options. In cloud security, we now have more than 7,000 customers using one or more security products. We launched agentless scanning to provide to detect risks and vulnerabilities within hosts containers and serverless across a whole cloud account in a few clicks. We shipped Datadog Infrastructure as code security so our customers can identify and fix these configurations in their Terraform and platformation code. Our customers can now use Kubernetes security posture management, to benchmark their environments against industry best practices We launched Code Security, to detect vulnerabilities in first party code running in production environments We continue to expand on our software composition analysis capabilities and we built many more integrations content packs and investigative workflows into our Cloud SIEM product. In software delivery, developers can now use Datadog code security with quality gates to ensure production code meets quality, security and performance standards. And we announced the ability for customers to observe DORA metrics to improve the speed and efficiency of the engineering teams.

In Cloud Service Management, we launched our modern scheduling solution Datadog OnCore, for general availability last month. We are already seeing significant customer interest parts and are excited to solve this problem for our users. We launched Event Management general availability using AI ops to intelligently aggregate and simplify alerts from any sources We built out our case management functionality so users can triage, assign and close production related tickets faster. And finally, our App Builder product lets user build app to implement their own custom processes and workflows and take action directly within Datadog. [indiscernible] So I'd like to thank our product and engineering teams. For a very productive 2024. And I'm super excited about what we have planned 2025. Let's move on to sales and marketing. We had a strong close to 2024. With record bookings and some very exciting new logos and expansions. Let's go through a few. First, we'll need a 7 figure annualized deal with a major U. S. Financial institution. This company was struggling with high costs and expensive logging tools. By using Datadog Flex Logs and observability pipelines, this customer expects to save money on log management and will redeploy those savings to invest in observability transformation.

This customer is starting with four Datadog products and is replacing four commercial and open source tools. [indiscernible] Next, we landed a 7 figure annualized deal with a large Brazilian retail company. This company had built a homegrown open source base [indiscernible] Had poor visibility into customer journeys for their shopping application. With Datadog, they quickly improved application performance which drove higher app store ratings better digital reputation and improved user confidence. This customer is starting with five Datadog products. Next, [indiscernible] This company had limited visibility into their customers' experience on in store kiosks and on their mobile app. [indiscernible] this company will correlate monitoring across front and back end enable multiple teams to collaborate for improved customer experience. This land deal featured our brand new product analytics capabilities will display two commercial observability and analytics tools. Next, we landed a high 6 figure annualized deal with The U. S. Federal health insurance company. This company's Medicare services business requires a SIEM it's still too expensive and poorly adopted by the teams. Will now rely on both FlexLog and our cloth seam within GovCloud for simplicity and cost savings. All that while improving security and compliance. And we have the opportunity to provide additional value and expand to three pillar and to end observability over time.

Next, we signed a 7 figure annualized expansion with a Fortune 100 oil and gas company. This customer is moving thousands of hosts from on prem to the cloud. And will replace two legacy infrastructure and network monitoring tools. [indiscernible] The estimated cost and productivity savings from replacing these legacy tools exceed $1,000,000 annually. And we work with them to evaluate the productivity gains when thousands of users saw less disruption by incidents. For expected savings of about $10,000,000 per year. This customer is expanding to use 14 Datadog products.

Last for today, we signed a 7 figure annualized expansion with a leading security software company. This customer built a homegrown log management tool using open source software. But it was time consuming to maintain extremely costly and performed poorly unacceptable delays. [indiscernible] moving to FlexLogs, this customer is already saving on tool costs. Reducing mean time to resolution, and increasing user productivity. With estimated savings of over $1,000,000 a year. And this customer is expanding to use eight deadlock products. And that's it for this quarter's highlights. Congrats again to our go to market teams for their great work in 2024. Our best ever close to the year and the exciting plans they've laid out for 2025. Before I turn it over to David for a financial review, a few words our longer term outlook. We continue to believe digital transformation and cloud migration are long term secular growth drivers of our business as well as critical for every company to deliver value and gain competitive advantage. And we think moving to modern cloud based technologies is more important than ever as more companies step up to adopt AI capabilities. We continue to focus on delivering innovation and value to our customers against their mission critical needs.

And more than ever, we feel ideally positioned to have customers of every size in every industry to transform [indiscernible] And drive value through technology adoption. And with that, I will turn it over to our CFO. David? Thanks Olivier.

To start, Q4 revenue was $738,000,000 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 use in 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 five percentage points of year over year revenue growth in Q4 versus four points in the last quarter and about three 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 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 Meanwhile, our SMB customers' usage growth remained solid with slight year over year acceleration versus last quarter.

As a reminder, we define enterprise as customers with 5,000 employees or more Mid market has customers with 1,000 to 5,000 employees and SMB as customers with less than 1,000 employees.

Regarding our retention metrics, our trailing twelve month net revenue retention percentage was in the high one tens in Q4 compared to the mid one hundred and ten's last quarter. And finally, our trailing twelve month gross revenue retention Regarding our customer growth, we added 800 net customers in Q4 for a total of around 30,000 customers. This includes the highest number of gross new logos and dollar new logo annualized bookings since early twenty twenty three. Now moving to our financial results. Billings were $9.00 $8,000,000 up 26%. Year over year.

Remaining performance obligations or RPO was $2,270,000,000 up 24% year over year. Current RPR RPR growth was in the mid-20s percent year over year. RPO duration was down year over year Normalizing for duration RPO growth was in the mid-30s year over year. We continue to believe revenue is a better indication of our business trends than billings and RPO. As those can fluctuate relative to revenue based on the timing of invoicing and the duration of customer contracts. Now let's review some of the key income statement results. Unless otherwise noted, all metrics are non GAAP. We have provided a reconciliation of GAAP to non GAAP financials in our earnings release. First, gross profit in the quarter was $603,000,000 for a gross margin of 81.7%. This compares to a gross margin of 81.1% last quarter and 83.4% in the year ago quarter. Our Q4 OpEx grew 30% year over year, accelerating from 21% last quarter as we continue to execute on our hiring plans. This includes our successful investment in sales and marketing, which grew 31% year over year in Q4 twenty twenty four to 23% of revenues up from 5% year over year growth in Q4 of twenty twenty three at 22% of revenues.

We ended 2024 with sales and marketing headcount of about 3,000, up from about 2,400 at the end of twenty twenty three.

This also includes our successful investment in R and D which grew 29% year over year in Q4 twenty twenty four to 29% of revenues up from 15% year over year growth With R and D headcount of about 3,100, up from 2,400 at the end of twenty twenty three. Q4 operating income was $179,000,000 or a 24% operating margin compared to 25% last quarter and 28% in the year ago quarter. Now turning to the balance sheet and cash flow statements. We ended the quarter with $4,200,000,000 in cash, cash equivalents and marketable securities. In December, we issued a five year $1,000,000,000 convertible note. We used $122,000,000 of the proceeds for transaction costs and cap calls associated with these notes. And simultaneous with the issuance of these notes, we've repurchased approximately 15% of our outstanding 2025 convertible notes. And terminated the associated cap calls for net costs $142,000,000 After taking into account this issuance, and repurchasing activity, our cash balance increased by $736,000,000 net. Dollars $636,000,000 principal amount of the 2025 convertible notes and associated cap calls remains outstanding, and we expect to retire the outstanding amount of the 2025 notes, on or before their maturity date of 06/15/2025.

Cash flow from operations was $2.00 $65,000,000 After taking into account capital expenditures and capitalized software, free cash flow was $241,000,000 for our free cash flow margin, of 33%. And now for our outlook for the first quarter and fiscal year twenty twenty five. First, our guidance philosophy remains unchanged. As a reminder, we base our guidance on trends observed in recent months and apply conservatism on these growth trends. So for the first quarter, we expect revenues to be in the range of $7.37 $741,000,000 which represents 21% year over year growth. Non GAAP operating income is expected to be in the range of $162,000,000 $166,000,000 which implies an operating margin of 22%. And non GAAP net income per share is expected to be $41 to $0.43 per share based on approximately $366,000,000 weighted average diluted shares outstanding. And for the full fiscal year 2025, we expect revenues to be in the range of $3,175,000,000 to $3,195,000,000 which represents 18% to 19% year over year growth. Non GAAP operating income is expected to be in the range million dollars to $675,000,000 which implies an operating margin of 21%. And non GAAP net income per share is expected to be in the range of 1.65 to $1.7 per share based on approximately $369,000,000 weighted average diluted shares outstanding.

Now for some additional notes on this guidance. As it relates to our growth in OpEx and hiring, first, we successfully executed on our hiring plans in 2024, ending the year with about 6,500 employees, growing 27% year over year. And we remain excited by our numerous long term growth opportunities. Our operating profit guidance reflects our intent to continue to invest for future growth in 2025. Because of that, our operating profit guidance implies operating expense growth in the high 20s percent range year over year. As we did in 2024, we expect to grow our investments in both sales and marketing and R and D this year. As I discussed earlier, in Q4, sales and marketing expenses grew 31% year over year and R and D expense grew 29% year over year. We continue to expand our capabilities in sales and marketing. Including expanding our less mature geographies adding more channel and alliance capabilities and extending our efforts around larger enterprises. Among many other initiatives. And in R and D, we are focused on delivering more value to our and the capabilities we add as part of the Datadog platform. Meanwhile, we continue to balance our investments in long term growth with financial discipline.

As we have executed in the past. Now turning to the other areas of the P and L. First, we expect net interest and other income for fiscal twenty twenty five to be approximately $120,000,000 Regarding taxes, our non GAAP tax rate is 21% in fiscal year twenty twenty five and this is reflected in our non GAAP net income per share guidance. Next, we expect our cash taxes in 2025 to be out be about 1% of 2025 revenues or about $30,000,000 to $35,000,000 While we have utilized the majority of our U. S.-based NOLs we have R and D tax credits and deductions related to stock based compensation that reduced our cash tax payments. Finally, we expect capital expenditures and capitalized software together to be in the 4% to 5% in 2025. Now to summarize, we are pleased with our execution in 2024. We are well positioned to help our existing and prospective customers with their cloud migration and digital transformation journeys. And we continue to invest in our growth opportunities in 2025. I want to thank all Datadog's worldwide for their efforts last year and I'm very excited about our plans for this year. And with that, we will open the call for questions.

Operator, let's begin the Q and A. And our first question comes from Mark Murphy with JPMorgan. Your line is open. Thank you so much. 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 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 them might become so large that they would try and handle observability in house. In other words, I'm trying to understand if the if the AI usage and commits are kind of on the same trajectory that they were on or whether you feel that It's there are some oscillations there. Yes. Thanks for the question. So I think 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 commits, better terms and optimization new at the same time, which is fairly typical.

Typically, it happens with large ring customers in particular At the time of renewal, customers are going to try and optimize what they can. They're going to get better prices from us. They'll update commitments And we might see a flat or down 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 we typically see. When you look at the cohort as a whole even with that 60 Renewal optimization and Theragit economics the quarter is only stable quarter to quarter. In its revenue. Is 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, but have the fastest we've seen in the tech industry. There is 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, your business. And so all three are typically never true at the same time. If you look at the top five ten companies, in the world buying faster size today, Some don't run any third party software and build everything themselves. Some do run for Py software and do run our service usually on part of their businesses. But really at the end of the day, like those five ten companies are not the the market for selling software or SaaS. And they never have been. So the rest of the world is the core market. When we talk about the AI cohort, what's interesting is not so much this relatively small set of AI native companies, And we see them more at the sign of things to come in terms of a broader AI adoption.

So what's interesting to us is all the rest of the world starts operating AI workloads and grows into that.

Okay, understood. And then just as a very All three 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 the regular typical cloud migrations. And I'm just wondering if if you felt the timing of the holidays, excuse me, had any impact on December or whether they're AI capacity constraints might be flowing through to Datadog as well.

Yes. It's hard to tell exactly what's going on with the capacity constraint and things like that. If I will address to compare and contrast what we do, we are old growth with the cloud providers, But overall, we're growing a bit faster than the cloud providers. Including the very big bump they're getting from same GPUs. Those GPUs are largely attached to trading workloads that we don't do a big role in. But also in part because these are sort of new pieces of infrastructure that will have different needs as they become more broadly used by larger number of companies. If you back out the as you mentioned, the [indiscernible] part of the growth with a couple of providers. They are slowing down and we are meaningfully outgrowing them. That part of the business. And I think that if you zoom up, 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 are outgrowing that trend now and in the long run.

Thank you very much. Really appreciate it.

Thank you. Our next question comes from Sanjit Singh with Morgan Stanley. Your line is open.

Yes. Thank you for taking the question congrats on the record bookings quarter in Q4.

Olivia, 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'll have quite a bit in store. A number of parts of the business who are being a little bit more deliberate about pushing the products in particular in the segment where we think we're on the cusp of acceleration in critical mass and we can invest in and put behind that. Few examples. Mentioned, for example, on the in some of the customer wins we discussed today, we mentioned a number of wins for FlexLog. We definitely see the potential for LOG and SEXLOV and PANTITUTOR. To to get much broader adoption in the market. We also see a very interesting and timely community of opening there with some of the bigger players being taken out recently. So there's efforts like that that's where pushing into. Another example we gave on the call, product that's exciting to us right now is Onco. Onco is brand new. Just entered GA. But demand is very, very strong. So we're making sure that we have the right programs from a way to market perspective to make sure those products can take off as they should.

Well, if you zoom out from the specific product related programs or the specific partner related or segment related to the number of those. What we're doing really That matters is we are growing the sales capacity We've been growing excess capacity last year. I would say we probably got a bit of a slower start last year first half of the year at growing the sales capacity we would have wanted. Accelerated that for the second half of the year. We're still accelerating this capacity growth. And we expect to see the result from that Gruulosome is and marketing you start seeing the impact in one to two years after that? When you hire engineering and you build R and D capacity, you start seeing the impact of two to three 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 FlexLog. It sort of dominated a lot of your customer, highlights this quarter.

In terms of like logs becoming a sort of renewed focus across the sort of observability stack. You obviously have some incumbents, but is there anything sort of changing technology you guys have obviously [indiscernible] seems to be driving the renewed interest in log in Cloud SIEM that gets you excited about the opportunity?

Well, it's a combination of there's a Definitely new interesting technologies and economics that relate to these technologies. But that resonate well with customers. So now you can keep a lot more data and keep it for a lot longer It's a lot more cost efficient. And so that's definitely one 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 [indiscernible] operational aspects or the security aspects. So we alongside with FlexLogs, we also see quite a bit of demand for Cloud SIEM. And we think the combination of those is very interesting. So I would say all those together would drive renewed specific interest in that part of the business and Lars and why we're pushing this.

Thank you. I appreciate the thoughts.

Thank you. Our next question comes from Raimo Lenschow with Barclays.

Your line is open. Perfect. Thank you. Chris, like there's a lot of focus on on the big AI guys at the moment, but how do you I mean, that's only the starting point for the AI opportunity. Can you see like what you see in first 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 bigger opportunity. What do you see there? And then a question and I have a follow-up for David.

Yes.

So on the inference side, mostly 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 edema's availability, for example. That's where we see Quite a bit of of adoption that does not come largely from the AI native companies. [indiscernible] So that's what we see today. In terms of operating the inference stack fully in half, we see relatively few customers do that yet. We think that's something that's going to come next. And by the way, we're very excited by the the developments we see in this field. So it looks like there's 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, model in the open source today that are rebinding in [indiscernible] 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 and 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, etcetera. What What drives you 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, good. Yes, it's really bottoms up. We look at the geographies in one case where we see the white space and the the evidence of success and attainment and the accounts that as we talked about 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 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 to keep in mind when we look at because I know something that's in the back of the minds of many of our listeners here. When we look at growing the sales capacity and relationship between that and we think going to grow the business and guidance for this year and things like that in particular Remember that the revenue comes from 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 of going forward and we are looking at for the year. It's all based on usage, recent usage trends that we discount into the future. And it doesn't really incorporate a lot of the longer term gains we get from the The scaling of the go to market Just adding one more thing. I think we said that in 2023 with the risk 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 the catch up of essentially 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 it's we started to be successful in increasing our quota capacity and our go to market investments.

Okay, perfect. Thank you. [indiscernible] Thank you.

Our next question comes from Kash Rangan with Goldman Sachs. Your line is open.

Hi, thank you very much. I'm wondering if I could get your assessment of the disparity between the strong forward looking indicators, so RPO, CRPO, forward looking bent of the business versus the conservative guidance. Any thoughts on that? Is it a bit more conservative given that your forward looking indicator actually look a little bit stronger than one would have expected.

And second, maybe this is one 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.

Thank you so much once again.

Yes.

So I think on the first question, really that's the what I was just commenting on, which is that the The revenue report is based on usage and how we only want to get the usage on customers. And it's not directly linked in time to the bookings. In many cases, the bookings come ahead of the revenue, say, we have a new customer and it's going to take them time to ramp into their commitment. In some cases, the bookings control the revenues, okay. Say customers grew a lot and they were they had a lot of already uncommitted revenue. Then we will commit to some or part of that over that over time. So There's less of a of a direct relationship there. Again, when we look at guidance But Volley, 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 better to get better conversion in a shorter span of time? 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 this is the usual question of how much of your comp plan on the sales side should be usage versus bookings and We're definitely experimenting with some different ratios there and try to optimize for the best outcome. In general, again, justify go back to the biggest question, which is what's the relationship between what we see the guidance. Guidance is really recent trends and we extrapolated them. So up with some discount. So by definition, even though we see acceleration from the drivers or we ourselves invest more in some real, It's unlikely that we unless we see direct acceleration in the in the recent quarter that we you will see a number of the guidance there. Just because of the way this is constructed. Like we're very disciplined in terms sticking to the usage trends there. Yes.

Just to add, I think we've said that in some quarters, bookings in RPO numbers might diverge from the ARR and revenue growth. I think in this quarter you see there's pretty good convergence, right? The Allpoint to the same range, etcetera. 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 and 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 Ollie said was when we provide the guidance, we really haven't changed our [indiscernible] and we've essentially put conservativism going forward. So I think you can't necessarily go one to one there and we've not changed our approach in doing that and providing guidance. Thank you.

Our next question comes from Matt Hedberg?

With RBC. Your line is open.

Great.

Thanks for taking my question.

David, for you, it was nice to see NRR tick up a bit and I realize that'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 2025 outlook? And then maybe to put a finer point on the digital the AI native [indiscernible] I mean, 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 two 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're 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 conservativeism 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.

Got it. Thanks. Congrats on the results, guys.

Thanks.

Thank you.

Our next question comes from Koji Ikeda with Bank of America. Your line is open.

Hey guys, thanks so much for taking the questions. I appreciate all the disclosure on ARR coming from the three core pillars here on infrastructure monitoring, APM and logs. And so as we move into 2020 and 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? [indiscernible] first, there's a number of new UCaaS that are emerging that are related to infrastructure. That we might want to cover. Again, we [indiscernible] We still have to see what the actual need is from lab Burketters. I'm talking in particular about infrastructure concerns around GPU management and 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 raw GPUs by a large number of customers as opposed to usage by a smaller number of AI native customers, which is mostly what we still see to that There are some interesting pockets of the market that we don't get into today because there are still some [indiscernible] IoT fleets or on prem fleets or things that are part of our customers set up we were not built from day one to handle.

But that are not becoming part of the picture as those customers settle in a some form of mix of what they have on the cloud and where they keep on prem. And so we see some opportunity there too. So there's a number of areas 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 infrastructure monitoring where we're clearly the leader 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 land enough of the right customers. Again, we still have a bit left half of the 14,500 customers today. And then for those customers, we get into all of their workflows, all of their environments and we keep going Got it. Thank you. And just a follow-up here on FX. And the impacts to revenue and guidance in so I know the vast majority of contracts are in USD.

But with 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 25 guide? Thank you so much. Yes, as you know, we are largely a U. S. Dollar based company. Our exposure is not very high. [indiscernible] 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.

Thank you. Our next question comes from Eric Heath with KeyBanc. Your line is open.

Hey, thanks for taking the question here. Ali, you you talked about FlexLogs having a lot of success, some M and 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 and 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. So I'm curious your ability to win both those workloads.

Yes. So Apple is so first of all, we see a lot of success with the some of the migrations in particular to FlexLog The majority of those use cases are around DevOps as opposed to a theme to stop, but we do see a number of opportunities that come solely from SIEM to start with. You're right that they typically don't come together. Because the two 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 steer a change.

What we see is that in the drawing number of migration to Flex Law, as we've seen, we typically start with a few workloads in Flex Logs, in ops, then after that, we see more workload in ops open. And some conversations on the SIEM side. I would say historically, the SIM 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's being used for those bit, but also to have customers directly migrate that. And that's part of the efforts coming to bear this year in terms of being able to accelerate in the go to market with those products.

Awesome. And Ali, I'd love to just get some of your thoughts on AgenTek AI and AI generally. Just curious when we think about agents, which parts of the core observability platform that think are most relevant or going to be most beneficial to your business as 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 it will probably look different from what it looks like today. Just like this year, it seems very different from what it looks like last year. What we do see though is that [indiscernible] Most of the the use cases we saw there from customers were chatbot in nature or a RAD in nature trying to access information and return the information. We see more and more customers building agents on top of that. And sending us the data from their agents. We definitely see a growing trend there of adoption. [indiscernible] level of abstraction at least for the current iteration of these agents to look at 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. The The market is changing very, very quickly there. Thank you.

And our final question comes from Patrick Walravens with Citizens JMP. Your line is open.

Open. 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 areas where you see the possibility to really drive some Inside Eredar? [indiscernible] Well, everywhere, like the what's fascinating about the current areas of the business. The first area for Gabilagios, the first area to be transformed is really the way software is being built. Where engineers use how they write software, how they debug software, Hode also operate HCD stands and part of that is outside tooling we're using for writing software, part of that is dogfooding or new products. For automated incident resolution and that sort of thing. So that's the first area.

A number of other Rayas that are going to see large improvements in productivity, typically everything that has to do with [indiscernible] helping with onboarding, helping troubleshooting issues, like all of that is in acceleration. In the end, we expect to see improvements everywhere from front office to back office.

Thank you. And then the follow-up on that is, do you see your your efficiency as an organization overall increasing where you can just grow with sort of the same number of people.

You feel like in the future you're going to need to add the same amount of headcount to to drive growth as you do today?

Well, I mean, in general, just to To the level set, we're very efficient as an organization already. Like we we have lean 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 margin for the automation bottom line. [indiscernible] consider ourselves to be a very efficient organization. Right now, any productivity will gain on the R and D side.

Is reinvested in building more and giving more functionality and generating more growth. I would say in the short to medium 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 and D and building more and getting more differentiation. Or in getting more scale faster on the GTM side. So for the short to mid term, 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. Great. Thanks, Ali.

Thank you. This concludes the question and answer session. I would now like to turn it back to CEO, Olivier Pumel. For closing remarks.

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

This concludes today's conference call. Thank you for participating.