CedarDB wants one database to handle both transactions and analytics, as AI agents raise the stakes
Databases have traditionally been designed either for analytical data or for operational data. But database engine CedarDB supports both, and its approach has gained relevance with the rise of agentic AI.
What happened?
Databases have traditionally been designed either for analytical data or for operational data. But database engine CedarDB supports both, and its approach has gained relevance with the rise of agentic AI.
Story details
Databases have traditionally been designed either for analytical data or for operational data.
But database engine CedarDB supports both, and its approach has gained relevance with the rise of agentic AI.
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