Cognite vs MongoDB
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cognite is the leader in industrial DataOps and AI, exceeding $170M ARR in FY2025; raised $150M Series B in March 2026 and named IDC MarketScape Leader for Worldwide Industrial DataOps Platforms.
About
Cognite is a Norwegian industrial software company that provides an AI-native data platform purpose-built for asset-heavy industries such as energy, manufacturing, and utilities. Founded in 2016 as a spinout from Aker ASA, Cognite Data Fusion (CDF) integrates data from OT systems (SCADA, historians, sensors), IT systems (ERP, MES), and engineering data sources into a unified industrial knowledge graph that enables AI-driven decision-making at scale. The platform helps operators reduce unplanned downtime, optimize maintenance schedules, improve energy efficiency, and accelerate digital transformation across complex industrial assets.
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.
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