Plotted by close date where disclosed, otherwise announcement. Select any marker to jump to the deal entry.
Three patterns show up across MongoDB's deal book — what the team buys, how it pays, and how it integrates. The patterns are the throughline; the deals below are the evidence.
3 acquisitions. Each entry carries the deal value, financing structure, target revenue, executive commentary, and the original SEC filing — the evidence behind the patterns above.
mLab, based in San Francisco, California, is a fully-managed cloud database service featuring automated provisioning and scaling, backup and recovery, 24/7 monitoring and alerting, web-based management tools, and support. At acquisition it hosted approximately one million databases across free and paid tiers, with particular traction among developer-centric startup communities served through a self-serve model. $68.0 million in cash (purchase price per the merger agreement; $69.97 million total allocated after closing adjustments).
MongoDB represents a dramatic sea change in how application developers work with data. There is a trend towards building software systems via microservices and deploying those systems in the cloud. As this trend continues, we anticipate it will open enormous market opportunities for global cloud databases, and MongoDB will be well positioned to power these types of software systems in ways that other database technologies cannot.Will Shulman — CEO, mLab
mLab has been particularly successful focusing on developer-centric startup communities via a self-serve model. We're excited to bring that self-serve and database-service expertise to MongoDB and believe mLab is an efficient way to capture a large number of customers. We will shortly begin the process of moving mLab customers to Atlas.MongoDB management — Q3 FY2019 earnings call (Dec 4, 2018)
MongoDB management, Q1 FY2020 earnings call (Jun 5, 2019): "As a reminder, our first quarter results include the impact of mLab, which we acquired in November 2018 and performed in line with our expectations. Excluding mLab, organic growth in the business remained very strong."
MongoDB acquired all outstanding capital stock of Tightdb, Inc. ("Realm"), based in San Francisco, California, on May 7, 2019. Realm offers a mobile database together with a platform providing real-time data synchronization, one of the most popular mobile database and synchronization platforms. $39.0 million in cash (purchase price per the merger agreement; $38.8 million total merger consideration after closing adjustments).
To accelerate our mobile efforts, we recently acquired Realm, one of the most popular mobile database and synchronization platforms. Data synchronization is the single biggest challenge in building compelling mobile applications and Realm has developed a comprehensive synchronization platform that is a natural complement to MongoDB Atlas and Stitch. Realm reinforces our run-anywhere strategy.MongoDB management — Q1 FY2020 earnings call (Jun 5, 2019)
We completed the acquisition of Realm, developers of a leading mobile application database and data synchronization technology, which we plan to fully integrate with our platform to allow developers to seamlessly work with data on mobile devices.MongoDB FY2020 10-K — Item 1 Business
MongoDB management, Q1 FY2020 earnings call (Jun 5, 2019): "Realm reinforces our run-anywhere strategy and like MongoDB is focused on giving developers a far more flexible, intuitive and comprehensive way to work with data. We will be providing more details about our future plans for Realm."
Voyage AI is a pioneer in state-of-the-art embedding and reranking models that power next-generation AI applications. Its advanced models enable applications to extract meaning from highly specialized, domain-specific text and unstructured data ranging from legal and financial documents to images, code, and enterprise knowledge bases. Its models are used by AI innovators including Anthropic, LangChain, Harvey, and Replit, and its embedding models have ranked among the highest-rated zero-shot models in the Hugging Face community. The team has research roots at Stanford, MIT, UC Berkeley, and Princeton. approximately $220 million total consideration, consisting of cash and stock (subject to customary adjustments).
AI has the promise to transform every business, but adoption is held back by the risk of hallucinations. By bringing the power of advanced AI-powered search and retrieval to our highly flexible database, the combination of MongoDB and Voyage AI enables enterprises to easily build trustworthy AI-powered applications that drive meaningful business impact. With this acquisition, MongoDB is redefining what's required of the database for the AI era.Dev Ittycheria — Chief Executive Officer, MongoDB
For AI applications to reach their full potential, businesses must trust their outputs, so retrieval needs to be deeply integrated with operational data to be accurate and relevant. Joining MongoDB enables us to bring our cutting-edge AI retrieval technology to a broader audience and integrate it seamlessly into mission-critical applications.Tengyu Ma — Founder, Voyage AI