strong very a for Yuka, this and We us productive QX had end you, you to all a joining Thank thank year. morning.
for up we and and innovating During deeper broader customers to the teams XXXX our cloud solve from into went the AI. we as we and building scaled problems our kept
and more existing customers Datadog more as delivered value in with and continue products customers expand new adopted ones we add the to We platform.
increase of Revenue financial the above XX% guidance start high an $XXX of year-over-year our our end was a million, review Let QX of and with performance. me range.
XX,XXX XXX ended X,XXX up or customers, ARR year a of We ended about ARR. cash of We of margin about $XXX free about generated with XX% compared ARR XX,XXX flow had about from customers from year up These about We we year free a of or customers ago. $X a cash ago. X,XXX more, with ago. with customers with $XXX our to million And $XXX,XXX with million flow an of a generated XX%. QX more
Turning to customer adoption.
the market. Our platform resonate to strategy in continues
were of or or from XX% the of were products, year is were customers of XX% and X X up X customers more or using customers As ago. X% as which products, year using were more more or of our same of our using up QX a XX% year more ago X% a XX% XX% from up year. a end products, from customers the X about of products, last using ago.
to continue expand land larger we XXXX, customers. During with and
largest up Datadog XXX of enterprises for a with The XX% to the many less than grow large journey customers. is to XXXX. ARR are in As million, think XXXX, the customers the Fortune $X.X which still December very Fortune XX% our the us We customers, these opportunity of gives Datadog are of in for still early XXX median from cloud. very
celebrate and business. for products, we more several pleased the also with customers more serving to milestones are very we're So
and And APM just pillars expanding other now getting us for we're started. ARR the a exceeds infastructure total we still only Datadog this into log of big at first our milestone largely First, product management. achieved growing of have even billion, by and though achievement our $X all monitoring
billion contributes $X.XX Monitoring in ARR. Infrastruction over Today,
products pillar third end Note million in end-to-end and includes are as Real in also core applications, didn't monitor User we $XXX to million to Monitoring Monitoring. use APM, which there Synthetics the Continuous products as Management NAPM the is Log ARR. Datadog So is and our and customers all our as now our Tracking over as that well exceed stopped ATM so Profiler, together ARR $XXX Database
and excited them Now $XXX in see remember in about pillars increasing all over at Products are opportunities even now do products, are we X and started the progress our pillars we're getting of X products least we and that in growth observability, we with many us half usage making new customers this in not our are the outside growth. Meanwhile, in pleased contribute as of to or customer yet. buy still million more than pillars other not ARR group. the X just our from
this drivers. year growth QX, Now usage In was quarter's let's the we discuss customers business that to roughly existing from ago saw similar quarter.
see played the usage end as generally at expected, slowdown stronger Our the December. and November quarter during typically of out growth October a the we and including
business environment our overall growing their continuing a some usage, conscious. cost experience stable to and continue We cloud be customers are while are to
in first over hit billion in bookings. $X a quarter go-to-market quarter teams ever new record as executed with bookings our We this also on our
to a our but existing customers us with and As well, immediately they our reminder, growth. into we coming bookings translate it new is indicator don't continue as an serve time. that over revenue are and
high revenue our gross with the low, highlighting XXs our retention nature for in remained platform to mid- stable mission-critical has the customers. churn of Finally,
XXX our features too we R&D A release new some go in on today, for Moving as Not but over year. much us what of and to innovations. go back capabilities XXXX. built this and let's to over
now newly for benefits help Community's with cumulative First, easy every data of latest OCI We to to We customers emerging AWS more type we scaling Azure, and it without our making from the Datadog and they integrations, bring platform. than continue new the need in GCP XXX improve have all to rightsize the AI capabilities stability and stack. performance. engage announced impacting technologies auto customers like environments the
infra their on Datadog pentenemetry so monitor improving monitoring the fully unify as In monitoring the by now Oracle big the AI L&M We with our customers we environments. all and to continue within their embedding and making the expand APM Monitoring to next-gen for for best And several customers OCI and incident took for and add can space, platform Cloud AI experience instrumentation users previewing observability investigations. for autonomous and AI, and across we steps clouds directly components stack on-prem Infrastructure launched including launching collector interoperable to Datadog for capabilities management
our next-gen tracking Datadog end place. and this the customers product data X,XXX of observability, about we allows interest and X customers in AI their or in models and QX, At general learning, logs, now LLM availability help more manage error in continue integrations view launched to AI. use customers the their about safely see production, increased all to deploy manage in evaluate, We to machine In and across X to send space, user errors applications end and stations, AI to
out as provide building data into observability, help anywhere kept to deep problematic launch database MongoDB in the monitoring. monitoring data we jobs the And monitoring detect better such and job insights of data Amazon stream in technologies SQS, can engineers including we pipelines. We in expanded their
mobile Android we to Digital test while and replay. our testing stages, app use with volumes are analyze In product retain phones. Logs outcomes. encouraged for data in In now early Experience, behavior analyze and analytics by mobile mobile can And user customers station better over We log of on issues using app real and applications in Flex investigation remain iOS now interest general into allow periods mobile customer our of cost-effectively time. Datadog availability, to massive management, of long business can launched customers faster
containers We configuration for options. now risks out-of-the-box with X,XXX the simplified have customers agentless In clicks. And and than granular within advanced or of expanded account X a analytics observability and scanning cloud vulnerabilities cloud few we security, detect workspaces pipelines whole to template We in products. more cells query. a more across and new launched deployment and using we hosts, security
as shipped Terraform so code code. infrastructure security, fix Platformation their can and our We customers and misconfigurations in Datadog identify
code Kubernetes use industry-based benchmark management posture environments to launched against security first-party to We in environments. code Our can in their running customers security detect venerability now practices. production
code Dora ensure quality quality, speed teams. our the and of many efficiency capabilities. software standards. into we delivery, production cloud And packs gates engineering announced to integrations, metrics Developers to the more In content product. needs Datadog can observe now and to workflows continue with security analysis the to software our security performance built on for position and we customers and improve ability expand SIM code And investigative We use
Service we Datadog In modern for OnCall solution, availability month. scheduling general Management, our Cloud last launched
our seeing already are this and solve users. significant customer for to are We excited problem interest
consolidate aggregate, built Management and our sources. alerts for out availability general management We case Ops launched AI from using intelligently to functionality. any We simplify Event
close our and finally, production-related assign action processes faster. our use ad to and their own build triage, apps custom Datadog. can directly implement tickets builder take workflows And and within users product, So let's
like super XXXX. what for So I'm have excited XXXX. about will thank engineering teams I'd very our productive And product for a to planned and we
marketing. a new some expansions. with very record and on logos move Let's close exciting and bookings We to sales had and strong XXXX to
few. a Let's go through
those on customer This save using invest to savings observability First, and expansive U.S. with in log high transformation. Datadog a deal we'll company and costs X-figure struggling logs was this financial institution. By redeploy logging annualized major management, to tools. with and observability money pipelines, expects
This stores. customer and starting is commercial replacing and X with open-source products Datadog is X
large company visibility a shopping annualized poor Next, source a we deal X-figure landed open This customer journeys retail homegrown had but company. with for built their base had observability, application. into Brazilian a
digital Datadog application they store Datadog, customer app and starting better higher drove improved is which with This improved user reputation X With confidence. performance, quickly products. ratings,
will X-figure experience. enable we mobile end into back This their land product This company. for analytic customers' By on had to Next, will and visibility their commercial using on entertainment in-store observability customer featured and analytics deal this company kiosks leading front X tools. across the company limited Datadog American brand-new and multiple app. collaborate our deal improved capabilities platform, correct and teams and displace annualized experience with monitoring
was both within and a by will X-figure high Medicare compliance. we improving savings, annualized the insurance U.S. teams. adopted on GovCloud SIM security Next, company. poorly They tool team with This requires cost significant company's health our deal while and all and expensive that rely a reginal business Log Flex for SIM, now a but landed Services
have pillar provide observability end-to-end time. and X value additional expand the over And to to we opportunity
a signed monitoring annualized tools. XXX and on-prem with X replace oil we from a hosts infrastructure Next, network legacy to will X-figure This of company. and thousands Fortune the gas cloud is moving customer expansion and
users saw exceed The tools to annually. $XX from when accessing evaluate legacy estimated savings million reception we And gains of year. $X incidents less cost these savings them productivity and per over with million work of by thousands the expected for productivity
This leading poorly customer Datadog expansion source a is unacceptable built expanding annualized was costly a we to software, company. This using today, X-figure Last perform security consuming and software extremely to products. a customer use open time it log for tool homegrown but management XX maintain delays. signed who's with
moving highlights. savings year. over $X Flex and time on already for products. is is it resolution X use this producing productivity customer that's customer By this increasing million sitting And cost, quarter's a this mean estimated to Logs, user And expanding to to Datadog to with
in Congrats exciting again plans ever close the great work their for we've team go-to-market to the best our and laid to for out year our XXXX. XXXX,
A to David few over for a it turn words review. on outlook. our financial I longer-term Before
to to is our to And AI continue gain step as digital business competitive technologies are critical advantage. growth as we as up cloud-based for transformation adopt and to more of value more capabilities. secular drivers modern We company well cloud deliver important ever moving than and long-term every think migration believe companies
their And that, delivering and ideally help will size needs. every And I our it to than to feel we CFO. turn drive more our adoption. customers value against industry continue through to We with ever, focus value technology in and every of innovation positioned to David? customers transform, to over on critical mission innovate
