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.
By Anna Heim 1 min read
Key points
- 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.
The story
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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