CedarDB launches cloud HTAP database at Disrupt
Original: CedarDB wants one database to handle both transactions and analytics, as AI agents raise the stakes
Why This Matters
Unified HTAP databases cut infrastructure complexity as AI-driven real-time analytics demand grows.
Munich-based CedarDB announced limited availability of its cloud database at TechCrunch Disrupt 2026, offering a single engine for both transactional and analytical workloads. The TU Munich spinout raised €5.3M seed in May 2025.
CedarDB, a spinout from Technical University of Munich, is betting that enterprises no longer want separate databases for transactions and analytics. The startup's engine handles both workload types — what the industry calls HTAP — by squeezing more performance from modern hardware rather than demanding more of it. That pitch has sharpened as AI agents increasingly need to query live operational data in natural language, in real time.
The company was built on Umbra, a decade-long TUM research project, and is co-founded by five researchers from that lab. CEO Moritz Sichert told TechCrunch that PostgreSQL compatibility was a deliberate early choice: it lowers migration costs and, as a bonus, aligns with what LLMs already know from training data.
CedarDB launched its on-premise Enterprise edition and a free Community Edition in May 2025, alongside a €5.3 million (~$6M) seed round. The team debated whether to launch cloud immediately — they held off. On Wednesday at TechCrunch Disrupt, where it competes in the 20-startup Startup Battlefield, CedarDB announced limited availability of CedarDB Cloud, a fully managed hosted version. Broader availability is expected to help it reach customers beyond large enterprises and position it against competitors like Databricks.