second morning. had thank Thanks, a all this very you productive Yuka, quarter. We for us joining and
and and features And their existing the act we ones announced they secure in cloud. observe, DASH our users for customers exciting where customers welcomed as help add we in a new June First, to of Datadog we thousands to new environment. in to of broad grow continue cloud new range products and conference
an the up about high a ended with was increase range. guidance XX% end Revenue generated year above more, X,XXX X,XXX We We we with XX,XXX XX% a $XXX customers ago. ARR. XX%. our of with $XXX flow our QX the million me of from Let cash customers, year-over-year And these XX,XXX of review a of last an had million, of flow generated cash and customers our of from about free start of quarter up about $XXX,XXX financial performance. year, about with ARR and margin about or
Turning to platform adoption.
strategy continues resonate in platform Our the to market.
ago. XX% And XX% more products, of year XX% or were customers customers our up ago. from a up a a of of more more XX% As more using four using products, or year up XX% using were customers two eight a customers of X% QX, up were from using from our products, the of XX% ago. ago. or of or XX% end six were from products, year year
seeing growing an are monitoring that and We in represents our continue than our million And to more experience over achieve adoption more which RUM digital of products fourth solve monitoring, fifth $XXX our expand in includes our synthetics both milestone. becoming synthetics and product This efforts observability, capabilities of enabling time, customers critical the challenges. all their area products includes of of to user real each RUM. and and to or today ARR,
to our user also recent with app journey mobile this excited we of have And product go to future Datadog. allow at their usage DASH, of our and capabilities, in more testing, into We and customers innovating including analysis. and been are recent further with announcement retention area business consolidate rapidly analytics visualization testing, insights flag
last Datadog was the Overall, unchanged roughly this discuss quarter. let's business Now drivers. for from quarter's business environment
line customer usage with growing to our cost we experienced broadly in be continuing usage, conscious. consistent we the that overall saw are that customers quarters. have past In their QX, several and cloud over improved Our expectation some with existing the are was overall trend while growth
with lines from with smaller than growth products year-ago higher healthy existing newer growing Our saw product usage customers a in growth was base. the quarter. faster our we across And continued
continues was low be and Finally, platform gross nature to mission-critical highlighting high stable churn XXs, to the of in retention revenue our our customers. for the mid-
on users. June, new many for DASHes are of R&D. to late features Moving to we We in had our and announce conference our products and excited
review the too X months. we have to detail, announcements in cover just much We me of made in the but for past us let some
application and AI and to them. companies In space, scale deployment machine engineers LLM developers accelerate into the monitor, the can reliably next-gen operate With announced learning we which environments applications applications. Observability, the troubleshoot of LLM secure efficiently and production and Observability, of AI availability general LLM
We Bits with expanded AI new also capabilities.
Bits copilot. a reminder, a Datadog AI built-in As is AI
this information In key addition able Bits autonomous incidents for complex capability, tasks agent proactively AI the ability operate and such -- alerts AI an answer at being DASH, we With and and to response. as and perform to surfaces summarize this questions, previewed as investigating performs investigations. to coordinating
AI. customer get AI are back continue that X,XXX integrations with they us goal telling more a All increasing at of use lot to leveling about to are technologies. with see base, their and the Taking on of into experimentations additional of this. use visibility customers delivering our we of or step doing looking a ramping customers business up and we AI AI. can And Today, them one excitement AI around our value see
that using continued this customers. time, production Datadog of continue X% metric to of expansion and -- AI our a of will become over product which think this see environment. this over and beyond in with will usage also our increased We note the of group relevant less I to ARR business as ecosystem monitor sign to We we broadens as of of value customers. the June. grow the this
XX on [ performance Last, but time announced which first TOTO ], model all not benchmarks. for least, we delivered our forecasting, -- state-of-the-art foundational
team, training for dataset will our the build meaningfully improve and our models into of train, to customers. devised the points ability performance our to to and technical TOTO research addition from its unique operations In a that by AI quality platform our record incorporate innovations derives
on Moving AI. from
datasets, analysis. log and relevant workflows composable complex is create connect to for reports. and Log in lot a previously have analytics customers views extends availability sophisticated tools. can storage realize and log legacy our observability. show It which limited scale and compute allows use is to Workspaces logging advanced our for built more cost today usable and announced customers in who Workspaces with We that to separately general feature of analysis And our customers an and allows Flex Logs, approach users We Log queries build particularly management the new our efficiency. to
We Spark engineers announced allows to Jobs the Databricks fix and general with cost our Monitoring, Data the data optimize and availability and of workloads issues and detect their performance jobs. of which data to
and resources. for Monitoring And end-to-end works warehouses, such to for which AI. product, large has Moving as mission-critical as is grown in data Data trend importance businesses, amounts of alongside set -- With expanding. continue data involving providing our Data deliver increasingly the become Streams [indiscernible]. understand capability a such observability Snowflake, this, across better will lakes visibility and Jobs of data that data pipelines a helps adoption data many believe observability customers the our of products we we're Monitoring and transforming with components customers
photo and optimize We Moving scaling ] on observability. introduced cost resources. for customers by company automatically [ to capability from allow to performance data rightsizing
monitoring OpenTelemetry customers offering OpenTelemetry and managed as such will our best our network the For Agent customers configurable container market. will the OpenTelemetry, fully and a in embed using to service universal hotel Datadog access fully what giving Collector, believe customers the we experience Datadog products be
In new code directly of Live and production errors. in developers Debugger, shifting the environments exact find code left, enables to through our step root production
product earlier, building experience up managers providing and we in success user we product announced mentioned insights I Product are and As owners. business our in-depth on and Analytics, monitoring, digital for
space, a products called security application new Security, applications. in and launched and their cloud detect to the In code-level our security which we allows vulnerability customers prioritize capability Code
automatically Data provides into functions other be agents, the environments where for customers risks in expanding or host, also which And installed. agents in vulnerabilities scanning and allows capability AWS Security, new future. and containers without to customers requiring several our within to sensitive deploy to data, want We announced agentless today starting don't and visibility to our can't pinpoint instances
to the with cloud their experience in paging Finally, action directly the incident which a further customers And lets Datadog self-service observability. to management staff. Datadog monitoring On-Call, take and management securely within with general platform. on-call into service We workflows announced our teams create allow integrate we local space, App them we're going Builder, modern applications and pre-integrated introduced rapidly of availability
exciting some execution strong and teams So we let's go-to-market more. marketing. added move and with saw customers now We on many this sales to our while expanding quarter, from again new
a few So go I'll through examples.
and costs, full infrastructure, Logs. And the ever largest of millions logo to was They First, predictability open a banks observability didn't but management modern their our deal product thanks in to tools, we value enable with win, stack also customer largest Datadog, observability With dollars multiyear well total they using Flex in better of This have expect new tens a visibility. source the products with of as will observability. they America. as landed as such commercial one anticipate South to end-to-end confidence. sorry, transition of contract with
company fires drive of and was significant to land the unified the world's support. from deal organization. a APM. also commercial with using tool, expect infrastructure cause we they crash and replacing find lot one our and This largest tool moving platform log By ] tool, Next, travel They're but and stability signed savings this monitoring it a and the companies. to annualized about management management worried will [ benefit complex to with seven-figure expensive as across across with Datadog management
and catching their tool lack land with notifying Next, this. them software customer in platform about the process. source with security a This across to year one has Datadog three also volume Datadog. first This landed open customer $X.X seven-figure net we million overspending visibility led of now on every company. switching users commercial to displacing of obtained and commercial two annualized felt savings dealers all a the incidents by expects issues their customer -- This and unified
increasing years. they of leading its This institution they commercial usage became in use to years move a signed which of extension annual been have now applications in observability of cloud to plan have XX the Europe. They over environment. added bank on-premise cloud, ambitious half total its customer with products. displacing the of Datadog And their move two a as we Datadog enable to Datadog the ago, the couple tools, Next, they central seven-figure X a into a
intention [ company. signed observability chosen insurance expect this us APM costs large Datadog displacing at customer seven-figure enterprise-wide customer In log tools, had incidents ], fewer stack to Next, provider. business And Datadog have with adoption full its save on American $X and other developer The the and performance been annually they of we observability management, legacy they comparing a as with using unit. annualized to of one this a expansion for tool measured in stronger over million alone. With Datadog.
a the of partner, to infrastructure, enabling products full leading all accountability to another Finally, has expansion customer way gambling take cloud our high entertainment its and And keyboard users cases productive using we hands-on to their management products, and them -- long-time automation. that's security expansion in seven-figure cost to network its a from platform. level uses it into sea engineers with security Datadog teams. visibility Datadog And for of action cloud into This This spanning support across quarter XX new all the date from adopted have online use logs, workflow a and observability with annualized customers' our by platform. build applications, management, renewal the as go-to-market their customer -- signed embedded to public with culture this and -- strategic operations
Now no and to let Overall, words few me towards continue transformation a our cloud say change trend we longer-term migration. digital outlook. to see on multiyear the
use that infrastructure. factors technologies, new next-gen and this AI, seeing we drive are with greater the including one believe cloud and of just of the continued is will experimentation many We next-gen
every many observability, and experience, by product DASH deploy [ customers our security, with cloud model delivery our at announcements software to confidence indicated service And the delivering day are rapid innovation environment As across at scale analytics. management, conference cloud ], we our digital and scale. are we helping
She as as will like Li new adopt structure experience, lead such our XX team expand Aurora. I'd two and Product Yanbing of than welcome has efforts spanning leaders -- to AI to companies our Officer. team's enterprise Google platform. VMware, joining to years us Yanbing and technology Finally, more is our and at and product, engineering software, Chief product
Fargo joining at companies scale David People and years is growth the our HR as sector enterprises, next Walmart. at experience Wells Datadog. large-scale Galloreese such Officer. He us of more has high-visibility Chief drive XX us help of as or David than And tech Sigma, will and
David? With that, to our I will turn CFO. it over
