Thank for and us you all thank today. joining you, Anthony,
strong for areas, metrics. all all relentless and with across search, momentum of pace security, we ongoing continued contributions demand innovation market outstanding across by solution quarter sales business, reflect led of guidance aspects products results our QX and delivered an our our strong our execution Our a observability outperforming
year-over-year and land especially powerful non-GAAP at quarter, operating margin revenue grew to the forefront spending XX% Elastic driving expand $XXX,XXX X,XXX continue motion. and and over of AI during the Generative our as customers revenue revenue. of of tailwinds customers cloud to customers prospects, are efficiency year-over-year, strength XX% over growing increased at Total demonstrating with Consolidation with interactions represented of and number and with prioritize momentum their our us The businesses. across innovation XX% and the our
progress landing changes These this and we that changes At quarter, our expanding been our the we resulted unanticipated we increased QX focus execution implemented some in start motion. issues and continued in in the go-to-market sales of high-potential since addressing. mid-market enterprise segmentation saw During fiscal on have year, that field customers.
Our year. fiscal the our in value QX of value added our during focus the our we changes. that $X performance all first see year search, that last outperformance with documents extract significantly through from with solutions. million all already Generative point, us we customers as grew and demonstrates and existing that quarters segments flow To unstructured now search from have strong search to to And expected seen again quarter from we versus starting is three of these to in execution customer AI deal performance and we the back customers segmentation are QX extraction. even earlier over are sales to accelerating have more this impact the year-over-year. organizations and spending new the in from maniacal once business positive we enabling saw of past, we remained from the levels QX commitments logs, data, benefited of score on across
with search textual search of evolution Augmented search then to RAG. Retrieval conversational an customers seeing Generation, and applications or are semantic moving using building from We
multistep are importance essential to with platform workflows adopt the business processes, agenetic as to the grow. Customers choosing and layer of of new experiment AI this we continue Elastic search enterprises an As for all flavors search tailwind automate will for continue which come. form to our for expect of build powered to these and business years on powering many a to will applications momentum
with Our vector database customers. resonates
Gen search offering to best-in-class the provided experience point beyond globally those distinct provides a search within platform, an with to career we a create, databases. approach, In digital their store as database X-figure The a customer database, signed experiences. our way customer vector QX, the company AI In business complications Elasticsearch customers vector APIs. scales without are a allowing and platform, a by deploy displacing single of the functionality complete new competitor's deal taking based native solution platform and and addition vector to managing efficient we a critical vector embeddings creates evolve third-party AI
leadership in contract building applications impact business. we our on in a position our momentum customers than seeing building annual are quarter, deals QX. million are from our $X that using X upon AI the in greater We positive Elastic, of value In signed Gen AI Gen
efficiency toward drives be work these has will to Gen of Elastic unstructured involving models as all experiences AI Now us power streams or language more applications and We information, customer leverage experiences, AI bring annually. new more over create we automate runtime us platform business customers to simplifies Elastic to benefit. that accuracy. using companies these agentic believe large together Gen the Cloud and customers over spending use use X,XXX cases with for that processes for pieces are the AI XXX and cases, greater with evolve developer $XXX,XXX
and also solutions analyzable logs, observability, systems why with strength to formats, searchable are mission-critical understandable, monitoring analyze. we a messy for as the a our win and data knowing customers. Elastic rich is key customers onto logs for represent to on with transforming they our reason AI, that security data at Gen continue consolidate often into of that our source excels see and observability we challenging Outside centers In strategy platform.
customers Our other unified efficient metrics, massive data correlate with possible at compelling incredibly absorbability data solution on making signals it and for to for log makes emphasis traces with store scale, enterprises. a our extremely APM our storage
investments from in a machine traditional monitoring analysis, Our AI reveals an systems. and reflect approach to unknowns pattern complex evolution that modern learning the in
leader water like and operational X-figure releases efficiency their service. platform to billing product of differentiate a we factor to them ensure anomalies with its Logsdb mode scalability query identify mode, with latency, another solution our and water competitors and resolve in expanded how millions Elastic outperformed of quarter, two Elasticsearch meter In to readings continue optimize customer effectively. an competitors. use smart results. accurate New ability to index competitive storage observability ordering a which from and management. showcasing key signed deliver and from analytics reduced The enhance the win their power and run enabling daily, customer features deal index industry that we was in ingests systems and Logsdb proactively We to our issues data,
rack started platform search Additionally, now AI they our customer [ have strengthen build on powered conversational app to ] service. to a
SOC strong processes, In traditional the released helping discovery. security to than solutions. we AI-driven around by and In are have efficiently received SIM and effectively practitioners transforms more XXXX, SOC leveraging or their from pleased functionality. SIM, feedback interest attack from we our industry analysts groundbreaking that modern automate and to thread large simplifying language security, I'm management, this automating and looking discovery customers enhance to seeing we operations, positive information models report work solution,
total Elastic terabytes logs and environments a day deal, of X-figure efficiency tailwind. Elastic we of commitments capabilities becoming new IT customer. The at continue from Elastic's to per use the a endpoint intends shows for software security competitors over military These implement for a of ] multiple cross-cluster strategic replication during a selected By discovery In our their lower of their platform for solid elastic the complexity to reduce securing and customer development we deployments drove in ownership. operational. capabilities [ consolidation overseeing as unit helping support capabilities increasingly wins operation efficient worth total an facilitate ownership, was customers streamline SIEM quarter to alerts Security's fully part for cost once and search benefit and compelling drive workflows U.S. infrastructure. military government responsible onto to and centers. Customer are cost the secular attack SOC ingest are
deal a for terabytes X ]. to a Digital, the scalability to product times its agreement Elastic for agency an incidents. government digital Elastic multiyear modernize tools absorbability cross-cluster Europe's and a of in a Digital open signed multiple and monitor its consolidate one of system. our Madrid They requiring responsible X version of transformation day over over effectively cities, technical our million infrastructure. [ services like for moved average largest solution constituents single logs due competitors Cloud X-figure source and a search Elastic features to Madrid to onto with from platform customer AI observability reduced provides for The Elastic resolution chose and the new capital per diverse
third dedicated released of with in customers. Cloud and availability on starting to is product is Elastic on momentum a general now stages Elastic for are Elasticsearch, technical Concur, One Now auto-scaling journey, to turning AWS observability in fastest preview solution Serverless offering virtually Though Cloud quarter. see pricing innovations the capabilities. general during and March. experiences SAP expected customer, Azure with in We availability Elastic the the that a we Elastic up Security. our emphasizing which Serverless early set Elastic and each different with Serverless access time new it takes to no its offer customers to project way distinct We underlying personas. match to highlighted
for Our AI our with search. architecture, the latency the serves serverless across allowing foundation precision of data of industry-first all as querying lake search low
offering, faster their As they reduces our Services state. that a can so configuration for run end managed Elastic desired customers fully burden the Cloud to
three instances launch support for expand will months. to we offering Cloud Google all this to major continue as in hyperscalers the coming We
index in mode AI unlocks incentivizing our in mode more another indexing tier of enterprise Data and milestone from encourages and leverage from more with customers which the cost The AI of the and efficient DB Logsdb management, storage, ownership. while platform our platform. Elastic data was by across savings as optimizing Similar consolidate onto to pushes products makes search towards solutions. of index Elastic onto reducing general customers quarter. value to the XXXX, available from our to release during index more workloads data help extract search Elasticsearch tier, availability enterprise competitor cost logs total mode, snapshots customers our do customers customers value move Elasticsearch more release is we Logsdb consolidation Logs more over our the searchable of underlying
due their Elasticsearch are Customers mode. to use expanding index of Logsdb
customer to hindering at Elasticsearch ship multiple capabilities in Gen stack. from to long-time observability and providing the the and modernize AI estate be was features tier of to AI index solution previous infrastructure rapidly and total Elastic to logging Logsdb Cloud rack platinum upgraded The access The Enterprise customer their customer's their jump efficient tools During deal. Elasticsearch ownership a inconsistent with journey global cost standards accelerate customers. consolidate as better X-figure their start fragmented end-to-end all and a quarter, tools and Elasticsearch of analysis to troubleshooting. chose their will to allowing compelling software them company also ability the logging mode a
preview competitors, during differentiated the model and remaining rerank Our released platform affordable. reducing Elastic tech We accuracy latency from while model rerank the quarter. improving in our
blueprint search low boosts [indiscernible] the each of RAG, models with model, more precise the semantic results relevance and language to of improving rerank users' by requirements. designed context model be reduces rerank relevance ensure responses Our of two Similar from accuracy query. large helps data, costs with the relatively our providing to we resource for high-performing
and supports we from into our a infrastructure. third-party customers are up-leveling solution holistic Elastic embedding building that While also with our can our adopt platform architecture to their integration models, own components models, certified reranking
professionals developers, QX brought partners. major several IT opportunities our customers, from and and to learn with connect
and Generative and about engaging with get on with our strong platform. more Global help scale of Year AWS Data customers attended and in how were Conference of their on November, AWS and of Partner Paris to interested customers AWS develop the to our continued most learning capabilities. to a we In Infrastructure testament the we in Reinvent prospects from the thousands Elastic our ground I and Gen where London, the where Amsterdam, Elasticsearch We were with AI our recognition AI partnership honored work and Award, AI team
leadership to recently and Today, $XXX the ] XX. lead Welihinda at that, we announcing many are which and in and spent revenue our Elastic them venture experience most excited Prior source time at [ at including Navam Navam and join will time CFO roles to milestones, given to Venture he team, and joining open successful consumption-based CFO HashiCorp, Navam spent run he in am spent very also growth Sierra through as Grammarly IBM to their I in finance businesses. that X with Inside leadership rate. IPO be prior capital especially HashiCorp was senior of starting Navam Ventures [indiscernible] million his our where helped before February Partners. years over have
I and We to team help greater milestones business Navam, am finance have and guide incredible confident with that newer at they a an towards together company. generational will forward here Elastic Elastic becoming
be these to Eric past a Eric who senior to months like a thank leader company. Interim who the also within Prengel, trusted and job has done continues would several CFO tremendous report addition to I and closely FP&A with ahead. strategy new the I'm Navam now working Navam in forward leading to continue responsibilities. to in and and both as years some looking will finance very him
In building our all to you customers, in their support of business partners for our closing, am quarter. dedicated our momentum and the strong for this I and execution performance and ongoing investors Thank confidence. to and our their by employees energized
turn I'll to our to financial detail. results Eric in over review more it