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.
Key points
- CedarDB, a Munich-based database engine, supports both transactional and analytical workloads.
- The company announced limited availability of CedarDB Cloud on Wednesday at TechCrunch Disrupt.
- CedarDB plans to raise a next funding round once it gains more traction.
CedarDB, a Munich-based database engine, is betting that one system can handle both transactional and analytical workloads. The company announced limited availability of CedarDB Cloud on Wednesday at TechCrunch Disrupt, where it is competing in the Startup Battlefield against 20 other startups.
CedarDB has been in development for a decade and is a Technical University of Munich spinout based on the Umbra research project. Its five co-founders include CEO Moritz Sichert.
What the company offers
CedarDB supports both operational databases, which store day-to-day transactions like orders and payments, and analytical databases, which help businesses spot trends. Sichert told TechCrunch that this approach has gained relevance with the rise of agentic AI.
The company promises faster performance without requiring more CPUs, processing power or memory, and with few changes from customers. It is compatible with PostgreSQL, which Sichert said keeps switching costs low because users do not need to rebuild their apps.
And this is where we would raise our next round.
— Moritz Sichert
Funding and competition
CedarDB launched CedarDB Enterprise as an on-premise offering and CedarDB Community Edition in May of last year, alongside a €5.3 million seed funding round (approximately $6 million). The cloud offering was delayed but not abandoned.
Sichert said Databricks' move to launch LTAP, a new data architecture, is another sign of demand for what CedarDB does. The startup plans to serve its first cloud users with its current team of 14 people, but Sichert expects it will need a larger team once it gets more traction. "And this is where we would raise our next round."
