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

A laptop displaying an analytics dashboard with real-time data tracking and analysis tools.
Illustrative photo.Photo by Atlantic Ambience on Pexels

What happened

But database engine CedarDB provides support for both, and its approach has gained relevance with the rise of agentic (AI that carries out multi-step tasks rather than answering one question) AI. Databases have traditionally been designed either for analytical data or for operational data.

Key facts

  • But database engine CedarDB — support: both, and its approach has gained relevance with the rise of agentic AI

Sources & evidence