
CrateDB provides a real-time unified data layer for analytics, search, and AI. Its database technology is designed for reliable and scalable performance, ensuring immediate access to insights even with complex and high-volume data. Key features include turbocharged aggregations for querying billions of records in milliseconds, hybrid search capabilities powered by Apache Lucene (supporting full-text, geospatial, and vector searches), and seamless integration with AI models for real-time training and predictions. The platform offers dynamic schema and indexing for adaptability, and a built for scale and resilience architecture to manage massive data volumes. CrateDB can be deployed across various cloud environments, on-premises, or at the edge. The company offers different pricing plans, including a free tier, dedicated plans for production workloads, and custom solutions for large-scale deployments.

CrateDB provides a real-time unified data layer for analytics, search, and AI. Its database technology is designed for reliable and scalable performance, ensuring immediate access to insights even with complex and high-volume data. Key features include turbocharged aggregations for querying billions of records in milliseconds, hybrid search capabilities powered by Apache Lucene (supporting full-text, geospatial, and vector searches), and seamless integration with AI models for real-time training and predictions. The platform offers dynamic schema and indexing for adaptability, and a built for scale and resilience architecture to manage massive data volumes. CrateDB can be deployed across various cloud environments, on-premises, or at the edge. The company offers different pricing plans, including a free tier, dedicated plans for production workloads, and custom solutions for large-scale deployments.
Product: Distributed, real-time SQL database for analytics, search, and AI
Use cases: Time series, JSON/documents, geospatial, full-text, and vector search
Deployments: Open-source, self-hosted, managed/cloud (including Google Cloud Marketplace)
Founded: June 2013
Employees (approx.): 55
Total funding: USD 31,890,000
Real-time analytics, search, and AI on high-volume, heterogeneous data (time-series, documents, geospatial, full-text, vectors).
2013
Databases / Data infrastructure
USD 4,000,000
Seed round participants included Sunstone Capital, Draper Esprit (Molten Ventures), Speedinvest, and Solomon Hykes.
USD 11,000,000
Series A participants included Deutsche Invest Capital, Momenta Partners, and others.
Latest funding date listed as Oct 1, 2020; total funding summarized across multiple rounds.
“Dawn Capital; Zetta Venture Partners; Draper Esprit (Molten Ventures); Speedinvest; VITO/Vito Ventures; Momenta Partners; Mike Chalfen; Solomon Hykes”