RealFeedApp beta
- CedarDB combines analytical and operational databases
Munich-based CedarDB offers a single engine for both transactional and analytical workloads, addressing the divide in enterprise data stacks. Built on the Umbra research project, the company prioritizes query efficiency for agentic AI.
- Field
- tools and releases
- What they did
- CedarDB developed a database capable of handling both transactional operations and analytical queries simultaneously, whereas traditionally these required separate systems.
- Why it matters
- This approach is particularly relevant for companies using AI agents, which need to quickly answer natural language questions about historical transaction data.
#cedardb#database#ai agent#umbra#data stack
