CedarDB launches cloud database at TechCrunch Disrupt — SkimNews
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- CedarDB launched CedarDB Cloud in limited availability at TechCrunch Disrupt, where the startup is competing in Startup Battlefield against 20 other companies, after beta testing with users from its waitlist.
- CedarDB supports both transactional and analytical workloads in a single engine, and CEO Moritz Sichert told TechCrunch the approach has gained relevance with the rise of agentic AI, which often requires quick natural-language queries over operational data.
- The startup is a Technical University of Munich spinout built on Umbra, a research project designed from scratch to maximize modern hardware performance, with five Umbra researchers among its cofounders.
- CedarDB maintains compatibility with PostgreSQL, a design choice Sichert said keeps switching costs low for customers and aligns with the SQL logic large language models are most familiar with from training data.
- The company raised a €5.3 million (~$6 million) seed round in May of last year alongside the launch of its on-premise CedarDB Enterprise and free CedarDB Community Edition; it now has a team of 14 people.
- Databricks introduced a similar unifying architecture called LTAP at its Data + AI Summit in June, aiming to unify transactions, analytics, streaming, and operational data on a single copy of storage in the lake — a move Sichert frames as market validation.
Why it matters: Sichert plans to serve CedarDB's first cloud customers with its current 14-person team and raise a next funding round once traction builds. The Databricks comparison matters: a well-capitalized incumbent reaching the same architectural conclusion signals that the transactional-analytical divide CedarDB was built to break is genuinely closing, and the startup now has to prove its PostgreSQL-compatible, research-rooted engine can out-execute giants with vastly more resources.
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