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MongoDB helps organizations store and manage the data their applications use. Its database organizes data as documents and supports functions such as search and analytics. Organizations can have MongoDB run the database for them or operate it themselves.
Most revenue comes from Atlas, which provides the database, cloud infrastructure and management as a service. Customers primarily pay according to usage, through monthly bills or prepaid arrangements. A smaller revenue stream comes from MongoDB Enterprise Advanced, a paid subscription for organizations that manage their own deployments in the cloud, in their data centers or across both. Free Community Server and Atlas tiers introduce developers to the software, with the aim of turning some users into paying customers.
The business depends on customers adopting Atlas, continuing to use it and adding workloads, as well as renewing paid subscriptions. MongoDB relies on AWS, Google Cloud Platform and Microsoft Azure for substantially all Atlas infrastructure, so their availability affects its service. Privacy laws restrict some cross-border transfers of personal data and require safeguards; export controls and sanctions also limit where and to whom MongoDB can sell its software.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
Elastic N.V. competes with MongoDB Atlas for customers paying to add application search and searches for similar data, or vector search. Watch adoption of Elasticsearch’s search features against MongoDB’s pitch that customers can keep search inside their application database rather than use a separate search engine.
Oracle competes with MongoDB for enterprise spending on databases used to build and modernize applications. Oracle’s database pricing and bundled offers matter to MongoDB’s ability to win and retain those customers.
Snowflake and MongoDB Atlas both earn revenue as customers use more cloud data services, though Snowflake emphasizes analysis and MongoDB emphasizes running applications. Growth in existing customers’ Snowflake usage offers a read on enterprise cloud data spending, rather than a direct measure of Atlas demand.
Amazon’s AWS both sells managed databases that compete for MongoDB’s customers and supplies cloud infrastructure that MongoDB pays for to run Atlas. Watch AWS database offers and infrastructure pricing: they touch both Atlas customer wins and the cost of serving its growing usage.
Microsoft competes with MongoDB for enterprise and cloud database customers, while MongoDB pays for Azure infrastructure to run Atlas. Microsoft’s ability to bundle database products matters for customer retention; Azure infrastructure pricing matters for Atlas’s service costs.
Alphabet’s Google Cloud competes for MongoDB’s cloud database customers while also hosting Atlas on infrastructure MongoDB pays to use. Its database pricing and bundled offers can affect MongoDB’s customer wins, while its hosting charges feed into Atlas’s infrastructure costs.
IBM competes with MongoDB for enterprise database deployments when customers modernize applications, offering software, consulting and infrastructure to those businesses. Watch IBM’s application-modernization offerings and bundled database deals for pressure on MongoDB’s ability to win those deployments.
More applications running in production support demand for both Datadog’s paid cloud monitoring software and MongoDB’s application databases. Watch customer use of Datadog’s infrastructure and application-performance monitoring for a read on the workload growth that also supports Atlas consumption.
Microsoft Corp earningsMSFT
Microsoft's report will show Azure cloud demand and signs of database bundling; MongoDB competes with Microsoft for customers and pays to use Azure to run Atlas.
Read Azure's growth alongside Microsoft's discussion of database products and bundles. Strong Azure demand and forceful bundling would point to tougher competition for MongoDB's cloud database customers; weaker signs would suggest less pressure, but Microsoft's results do not reveal what MongoDB actually pays Azure.
Datadog, Inc. earningsDDOG
Datadog's paid monitoring demand offers a read on the scale of applications running in production, which can also support use of MongoDB's application databases.
Look at Datadog's paid demand and customer use of its monitoring services. If both strengthen, more customers are paying to monitor live applications, supporting—but not proving—a case for growth in MongoDB's application workloads. If they weaken, that demand signal is less reassuring; it still is not a direct measure of Atlas usage.
Elastic N.V. earningsESTC
Elastic N.V.'s report offers clues to paid demand for its search products, which compete for the same customer need as search built into MongoDB Atlas.
Watch Elastic N.V.'s discussion of search adoption and whether overall cloud-business growth points in the same direction. Greater search adoption would show customers paying for a separate search tool, raising the pressure on MongoDB to win them with search built into its database. If those signs are weak, that competitive pressure is less evident, though overall cloud figures may not isolate search demand.
MongoDB, Inc. earningsThis company
Atlas is MongoDB's largest source of revenue, and serving it requires cloud infrastructure; this report shows whether Atlas growth is holding up subscription gross margin, the share left after direct service costs.
Read Atlas-related revenue growth alongside subscription gross margin. If Atlas revenue keeps growing while the margin holds steady, added usage is bringing in revenue without substantially eroding it through service costs. If Atlas growth slows and the margin falls, cost pressure is weakening the economics of MongoDB's core business.
Oracle Corp earningsORCL
Oracle's report offers clues to enterprise database demand and bundling; Oracle and MongoDB compete for database budgets used to build and modernize business applications.
Read Oracle's discussion of database and cloud demand alongside signs of enterprise bundling. Strong database demand and more active bundles would point to fiercer competition for MongoDB's enterprise database budgets; weaker signs could mean less competitive pressure, or simply weaker business spending, so they cannot by themselves show whether MongoDB is winning or losing customers.
