ClickHouse vs MongoDB
Side-by-side comparison of AI visibility scores, market position, and capabilities
ClickHouse is the leading open-source OLAP database for real-time analytics, valued at $15B in January 2026 after a $400M Series D led by Dragoneer; $160M ARR in 2025, up 256% YoY, with 3,000+ paying customers.
About
ClickHouse is the world's fastest open-source column-oriented database management system for real-time OLAP analytics. Originally developed at Yandex for web analytics at petabyte scale, ClickHouse was open-sourced in 2016 and became the industry benchmark for high-throughput analytical query performance. In 2021, former Yandex engineers spun out ClickHouse Inc. to commercialize the technology through ClickHouse Cloud, a fully managed cloud service that allows organizations to deploy ClickHouse without infrastructure management.
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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