MongoDB vs Elastic NV
Side-by-side comparison of AI visibility scores, market position, and capabilities
Document database leader with $1.7B revenue; Atlas Vector Search positions MongoDB as the core AI application data layer for RAG and semantic search; flexible BSON document model serves 47,000+ customers on AWS, Azure, and Google Cloud.
About
MongoDB is a leading document-oriented NoSQL database company providing a flexible, developer-friendly data platform for modern applications that require horizontal scalability, flexible schemas, and rich query capabilities. Founded in 2007 by former DoubleClick engineers and headquartered in New York City, MongoDB pioneered the document database model using JSON-like documents (BSON) rather than relational tables, enabling developers to store data in structures that naturally match application objects without complex ORM mappings. The company is listed on NASDAQ and generates approximately $1.7 billion in annual revenue.
Elastic NV (ESTC) reported $1.7B revenue in FY2025, up 17% YoY. Leader in search-powered AI and observability. Elasticsearch powers 10B+ events/day globally. HQ: San Francisco.
About
Elastic N.V. is a technology company best known for Elasticsearch, the world's most widely deployed search and analytics engine, headquartered in San Francisco, California. Founded in 2012 by Shay Banon, Elastic went public on NYSE in 2018. The company reported $1.7B in revenue for fiscal year 2025 (ending April 2025), up 17% year-over-year, serving customers across observability, security, and vector search for AI applications.
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