MongoDB, Inc. (MDB)

MongoDB's document database has become one of the most widely used data platforms for building modern AI applications. Its flexible, JSON-like document model is naturally suited for the unstructured and semi-structured data that AI applications consume — from user interaction logs to content embeddings. MongoDB Atlas, the company's fully managed cloud database service, now represents over 65% of total revenue and is the fastest-growing segment, providing the scalable data infrastructure that AI-native applications require.

MongoDB's vector search capability, integrated directly into Atlas, positions the company at the center of the Retrieval-Augmented Generation (RAG) architecture that has become the standard pattern for enterprise AI applications. RAG combines large language models with external knowledge bases — and MongoDB Atlas serves as that knowledge base, storing and retrieving vector embeddings alongside operational data in a single platform. This eliminates the need for separate vector databases (like Pinecone or Weaviate), simplifying the AI application stack. With over 50,000 customers and strong developer community adoption, MongoDB benefits from being the database developers choose first when building AI-powered applications.