MongoDB makes the world's most popular document database - a NoSQL database that stores data in flexible JSON-like documents instead of rigid tables. 47,000+ customers including Toyota, HSBC, and Verizon use it. MongoDB Atlas (cloud database) is its fastest-growing product, running on AWS, Azure, and GCP. 1M+ developers have used MongoDB to build their first application.
Key relationships in depth
MongoDB Atlas is available on Azure Marketplace and runs natively on Microsoft Azure, with MongoDB and Microsoft co-selling to enterprise customers in regulated industries including financial services and healthcare. MongoDB also integrates with Azure AI services, positioning Atlas Vector Search as the database layer for Azure OpenAI Service-powered generative AI applications.
Why it matters: Enterprise customers building on Azure OpenAI Service need a flexible, scalable database to store embeddings and unstructured application data, and MongoDB Atlas Vector Search provides a purpose-built solution. Microsoft benefits from MongoDB's developer popularity, as MongoDB community adoption drives Azure workload growth and marketplace revenue.
MongoDB and NVIDIA have a growing partnership centered on vector search and AI application development. MongoDB Atlas Vector Search uses NVIDIA GPU-accelerated indexing to enable real-time semantic search over large document collections, a critical component for retrieval-augmented generation (RAG) AI applications. NVIDIA NIM microservices are certified to run alongside MongoDB Atlas, allowing developers to build full AI pipelines from data storage through GPU inference within a single reference architecture.
Why it matters: As enterprise developers build AI applications that query large proprietary datasets, the combination of a flexible document database with GPU-accelerated vector search eliminates the need for separate vector database products like Pinecone or Weaviate. MongoDB benefits from NVIDIA's developer ecosystem to attract AI-native application builders to Atlas, while NVIDIA gains a database-layer reference customer that validates its full-stack AI platform story.
MongoDB Atlas operates on Google Cloud Platform across 40+ GCP regions, and MongoDB was recognized by Google Cloud as a top partner for accelerating new enterprise business through joint go-to-market initiatives at Google's 2025 Global Partner Awards. MongoDB Atlas Vector Search is a key component in Google Cloud's recommended generative AI reference architectures alongside Vertex AI and Gemini.
Why it matters: Google Cloud gains a popular enterprise database that attracts MongoDB's large developer community to GCP, while MongoDB benefits from Google's AI distribution as Vertex AI-powered applications increasingly need a flexible vector database for retrieval-augmented generation. The partnership fills a gap in Google Cloud's own database portfolio where Cloud Firestore and Bigtable do not serve the same developer audience as MongoDB.
MongoDB Atlas, the company's cloud database service, runs on AWS as its largest hosting environment across 40+ AWS regions, with MongoDB and AWS co-selling through AWS Marketplace and joint field sales. MongoDB served as a generative AI Competency launch partner for AWS, embedding Atlas Vector Search as the database backend for AWS generative AI application architectures built on Bedrock.
Why it matters: MongoDB Atlas on AWS benefits from AWS's infrastructure reliability and global reach while MongoDB provides a developer-friendly document database that Amazon's own DynamoDB and Aurora do not replicate for all workloads. AWS gains a popular third-party database that enriches its marketplace and attracts developers who prefer MongoDB's flexible schema to relational or native NoSQL options.
Relationships are compiled by VexMap from company filings, announcements and reporting, and last reviewed September 2026. Spotted something wrong? Tell us. Not investment advice.