CedarDB launches cloud database with €5.3M seed in hand

CedarDB, a Munich-based database startup with €5.3 million (about $6 million) in seed funding, launched its cloud product on Wednesday at TechCrunch Disrupt — and its timing looks less lucky than deliberate.

The company sells a single database engine that handles both analytical and operational workloads. That's a direct challenge to a decades-old split: analytical databases answer business questions, while operational databases store day-to-day records like orders and payments. CedarDB's cofounder and CEO Moritz Sichert told TechCrunch that this hybrid approach has gained relevance with the rise of agentic AI.

The current momentum, he said, comes from enterprises whose data stacks store years of transactions well but struggle to quickly answer analytical questions asked in natural language about that same data. Think of an AI agent querying five years of order history in plain English, on the spot, without an ETL pipeline in between.

What's actually under the hood?

CedarDB is a Technical University of Munich spinout built on Umbra, a research project designed from scratch to beat legacy database engines on processing speed by exploiting modern hardware. Five Umbra researchers — Moritz Sichert, Lukas Vogel, Philipp Fent, Dominik Durner and Christian Winter — are the cofounders.

The pitch: faster performance without demanding more CPUs, memory or processing power. The team also kept integration pain low by making CedarDB compatible with PostgreSQL, the popular open-source database. Sichert said that compatibility keeps switching costs down because users don't need to rebuild their apps.

There's a second-order benefit he flagged: CedarDB follows the logic LLMs know best from their training. In other words, AI agents can talk to it in the dialect they've already learned.

What does this change for practitioners?

Until now, CedarDB shipped only two ways: CedarDB Enterprise, an on-premise offering, and CedarDB Community Edition, a free version. Both launched in May of last year alongside the €5.3 million seed round. That positioning favored large enterprises with their own infrastructure.

The new product, CedarDB Cloud, changes the addressable market. Announced as limited availability after beta testing with waitlist users, the fully managed version should let CedarDB reach customers beyond the big-enterprise tier — the mid-market teams that wouldn't touch an on-prem deployment.

The team also made deliberate engineering bets after leaving academia. Cofounder Christian Winter laid out the priorities in a blog post: "such as reliability, fault tolerance and compatibility with popular tools."

Not every call was obvious. The team debated whether to launch a cloud offering right away, and initially chose on-prem first. The cloud version was delayed, not abandoned.

Databricks is pointing the same direction

CedarDB isn't chasing this alone. At its Data + AI Summit in June, Databricks cited "the agentic era" as the reason for launching LTAP, a new data architecture aiming to "[unify] transactions, analytics, streaming, and operational data on a single copy of storage in the lake."

Sichert reads the American giant's move as validation: another sign there's demand for what CedarDB does. It's too early to tell how disruptive Databricks' architecture will be, but a 14-person startup now shares a strategic thesis with one of the largest data companies in the market.

CedarDB plans to serve its first cloud users with its current team of 14 people. Sichert expects the company will need a bigger team once it gains more traction. "And this is where we would raise our next round," he said — meaning the cloud launch is also the setup for a Series A conversation.