update. joining a reviewing start results second Brian, before giving and our for company us I today. will thank by Thanks, to you quarter you everyone
changed went software that of disrupting is Before annual much We of diving the MongoDB. the past And in, being markets in incredibly all XX%. all largest world We required this company that with technology we’ve how I’m MongoDB, want rate anniversary to XX-fold us grateful the a compound and I’m partners one open a proud of of and in new interesting software. providers. at and a an seven private service incredibly we progress made source how we years. the share from the introduced small over Along today the marks amazing made licensed. around to grew over seventh with compete growth to way, partner both my largest happen. revenues with our cloud who cloud to people customers I to
am more we’ve the I proud our I’m journey as amazing had, about even opportunities of As optimistic ahead. today
three of a intrinsic they broad million, build faster our of our And legacy of our range and XX% much today’s we Looking because can Businesses platform every develop Atlas use we applications accelerate XX% generated quarter guidance. over quarter across above financial markets, as a of applications with increase quickly their meaningful agenda. $XXX drive of strong MongoDB global advantages. XX,XXX more platform can to Customers ending quickly use now faster new application year-over-year speed MongoDB their revenue. a their business customers. using dynamic and in data had that XX% all our highly to grow represents customers XX% grew revenue at and software a subscription nearly strong the results, of to another Fundamentally innovation our second cases quarter and that year-over-year. forward. faster, results competition. that We able than the re-platform using types digital MongoDB indication believe We a that revenue across have high grew quarter products the realized so are year-over-year platform ultimately, revenue of clear industry development second advantage. growth critical develop competitive Businesses improve is to are end customer offers
is designed as technology. far to think unlike build document developers productive technologies. is applications MongoDB around and more First, other how compared This model and any developers enables faster, code, legacy to be data
MongoDB’s technologies document other wide serve of other a time is reduces tabular, Second, address the MongoDB customers of single using of use and model relationships data a be for kinds models, document model graph easily enables need created and cases use purpose. that series, to superset only range to value, key niche data The can a documents.
time Third, developers the choose MongoDB to fundamentally at increasingly a a Atlas only and performance success massive to way performance MongoDB amount platform, paramount demanding best minutes. to enormous Atlas benefits requiring literally capabilities can is spend the their to continued for approaching time had XX% not data quarter, architectural to manage $X.X expectations, is Legacy distribute The for scale. the are of and customers. shows With for requirements. Atlas around designed is growth, the an today’s limitations. billion accelerating working and run matter address most speed of MongoDB designed rate. year-over-year organizations scale, sophisticated another of to technologies replicate, our of be that value importance our enjoy while excellent of as customers to scale
to Atlas strong self-serve another quarter additions We customers. also of enterprise customer had from
our promising the our more we being results of continue our quarter to strategic initiatives. C-suite our are increasing product portfolio the focus our investing audience. in customers. we give adjusting go-to-market companies level the Last team world approach largest more with into serve and sales and that year pulled experiment us effectively go-to-market, on at most conversations with Starting to is higher second in field conviction even Our both increasingly our
on in while our grew confidence coverage to regions. this is focusing strategically expanding Those model us more sales this accounts allow deep and experiment we position that also was account expand hypothesis capacity and this expected. will ran an accounts by than more resources, account it more Our more us This most the into faster giving investments deeper field with returns to excellent us penetrate going to year, all produce that quickly.
of Our all for make Atlas start inside to and customers easier cylinders firing with sales have channel, changes market it to for is along using impact. quarter. positive introduced product this had another year team great we Atlas, fit The on last had a the strong
on in inside we Given focused in sales the are expanding our capacity large around channel. capture the of our to see more results, regional world opportunity hubs we the this
is a vehicle self-serve, way turning organization. lead channel numbers is acquire to generation effective Finally, to and for critical customers our of this sales large a cost
is with growth experimentation a increasing funnel rates. of yielding that the promising increase lot iterative We on our are results. techniques sophistication and digital an is focused process to of acquisition mid-funnel top conversion lead This and product on optimize
significant space, well Turning we and and as continue to mature to invest merchant We to to that in compelling our to it and as vision. our our grow July, advance pronouncements product standardize on capabilities platform products. on the to both lead held expanded MongoDB.live, core made several significant themes for make further two roadmap, database we focused ease-of-use customers our At MongoDB. Conference the more -- our of User our extend
of MongoDB of to for our making value DNA the the First founding use company. of out easy get it been core has and developers the on since ease-of-use,
intervene a level. elastic Serverless, to Our connects scaling the scales The announcement capacity for patterns. of specific as the adjust can MongoDB type seamlessly, This to or to or no takes compute quickly handle spiky the developer next dramatically Atlas get to whether Serverless application planning life storage because customers customers, size. and productivity of and of machine With Atlas to we and with do without deployment. an started ease-of-use or they application manually pick simplifies the size traffic have our having longer
more Atlas became easier. demand, getting because We on expect Serverless and to drive using even customer just started
our amount to of from for manage we benefit sharding want data, Live massive to Resharding. customers features Next introduced a
very data single when the sharding machines. sharding a used to method customer As shard for of to data. to becoming deployments data to distributing throughput the had any Previously, high multiple essentially uses customer that amounts operations horizontally shard a partition reminder, the data, with support a to and across is a prevent large parameter wanted be pick key, machine would from a bottleneck. MongoDB
can to shard available we is different shard make in not the platform easily using This when when data in allows our using to users customers happens. data know change beneficial partition key requirements which redistribute to this capabilities change. Resharding seamlessly change applications Live any their application feature, start a sharding quickly, more other and of key. However, for or far it their it will business requirements easier make the
advantage rework that Finally, our feature when a Historically, database a issue functionality is prefer to structural they and the database this organizations of are significant available that stay announcement to cannot introduced, the some a creates then in addresses with older Invariably, an new can risk. version. on is all Versioned latest development of version take features break But existing application there downside new databases. for changes avoid teams. version API of
development they problem. so capability groundbreaking to API Versioned only need database. the to customer update perhaps Versioned most API Of to upgrade allows your the introduction customers solves of do Our features This enthusiastic the Versioned feature announced they reception. all functionality, not from server lets we lifecycle, got the will. you new MongoDB The MongoDB.Live want database lifecycle the at in API upgrade decouple they their this application when application when
consistently and Time on time clustered reduce expanding tell to windows collections, increase easier, of faster for order platform. We our that the innovation. our indexing application IoT. functions like purpose they modern theme, purpose in want technologies Because second focused Regarding run single general complexity series support us precludes back and the end platform the cost platform. native lower customers introduce we and a infrastructure it across capabilities make build the need speed that entire remain of series and to
we for the this were case fast use able series compete we past, to While new demanding time features, in can most address with growing workloads. these the even
Atlas across of depth Search. most products, an a add also our perhaps notably merchant functionality We
and search enhancing make custom more results. use more solution which these even believe e-commerce an We’re targeted will allow synonyms provide to features function relevant geographically Search for excellent We with scoring, cases. customers Atlas and
and recently achieve market. FedRAMP substantial Finally, that capture This government that the to serve MongoDB agencies we for Ready designation demand we that ISVs status. across also and announced Atlas state federal allows
meaningful to set and data application announced platform. step a use customers recently MongoDB use for the of forward broader our enable cases represent modern on deliver preeminent enhancements an journey Our product even to
their Latin wins interesting use allows platform. America build Now with across with quarter. New from dynamic second analytics is features to at MongoDB inception driven powered over New quarter from compliance I’d as some Edition York flexible scale. and predictive few chose company’s when JetBlue trusted DataRobot in JetBlue faster MongoDB a its customer their X the spend augmented reviewing that a organizations the between empowers is MongoDB from To destinations airline and application JetBlue York’s application, hometown model app, to decisions business and ticketing well delivering SaaS real DataRobot to has like experiences XXX better and leader minutes and platform migrate MongoDB cases the as the intelligence, and e-commerce U.S., Enterprise for overhaul to Caribbean, core Advanced time. data a platform in London. Community data support. this data AI encryption customer -- make
In across citizens. million comprehensive new continue X users their enhanced for modernize the the smart Roma using to transport, as of is approach, to a and city part who to the to drive over of global its City a relationship and data for Rome MongoDB and bid content environment base, Capitale system platform management single-view innovate DataRobot underlying new services body its as a transform Roma AI chose welfare help drive development. education Our customer support for governing entire and will businesses. manages are
devices. its and Roma MongoDB bring from leading OVO, to the on result, over latest online to its opportunities services a new XXX to relies payments, rewards to ranking Smart was City citizens. digital PT core digital platform power payments serves Visionet fourth place a Indonesian XXth As in million financial or platform Italian Internasional able that jumped and
all we of OVO developer MongoDB increase consolidate platforms, Google feature will hosting feature another In cycles quarter. multiple part its release across of stack summary, and infrastructure making to had over database ready. move accelerate the its databases and initiative strategic to and tech Cloud. a excellent the enterprise to workloads new As OVO expect modernization market spread consolidate Atlas workloads chose productivity,
turn and it need. move fulfill are faster this positioned that purpose now their Our I’ll to customers general data innovate scalable as want the for give over developers that, With platform quickly. is a will to increasingly freedom looking to MongoDB seen application uniquely to Michael.