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.
TL;DR
- CedarDB supports both analytical and operational database jobs, unlike traditional databases designed for one or the other.
- Its approach is gaining relevance due to the rise of agentic AI.
- The company is a spinout from the Technical University of Munich, based on the Umbra research project focused on processing speed.
- CedarDB promises faster performance without needing more hardware and is compatible with PostgreSQL.
- The company offers CedarDB Enterprise (on-premise) and CedarDB Community Edition, and has now announced limited availability of CedarDB Cloud.
- Databricks is also developing a similar unified data architecture, suggesting a growing demand for such solutions.