CedarDB wants one database to handle both transactions and analytics, as AI agents raise the stakes

CedarDB, a database engine supporting both transactional and analytical workloads, is gaining traction as AI agents increase demand for unified data processing. Traditionally, databases were optimized for either operational or analytical data, but CedarDB's hybrid approach addresses the need for real-time insights and complex queries in agentic AI applications.