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CedarDB launches cloud database that unifies transactions and analytics as AI agents gain traction

Munich-based database startup announces limited availability of CedarDB Cloud at TechCrunch Disrupt

By LineZotpaper
Published
Read Time2 min
Sources2 outlets
CedarDB, a Munich-based database engine spun out of the Technical University of Munich, has announced limited availability of its cloud offering, CedarDB Cloud, at the TechCrunch Disrupt startup competition. The database, built on the research project Umbra, is designed to handle both transactional and analytical workloads, a capability cofounder and CEO Moritz Sichert said has gained new relevance with the rise of agentic AI.

Databases have traditionally been built for one of two jobs: analytical databases help businesses spot trends and answer questions, while operational databases store day-to-day records of transactions. CedarDB supports both types of queries. The company is a spinout based on Umbra, a research project built from scratch to beat legacy database engines at processing speed by making the most of modern hardware. With five Umbra researchers as its cofounders, the team made sure CedarDB is compatible with PostgreSQL, an open-source database system. According to Sichert, this compatibility keeps switching costs low because users do not need to rebuild their apps. It also has an added advantage: CedarDB follows the logic LLMs are most familiar with as a result of their training.

The company launched CedarDB Enterprise as an on-premise offering alongside its free version, CedarDB Community Edition, in May of last year at the same time as it announced a €5.3 million seed funding round. The cloud offering was delayed but not abandoned. After conducting beta testing with users who signed up for its waitlist, the company on Wednesday announced limited availability of CedarDB Cloud on stage at TechCrunch Disrupt, where it competes with 20 other startups.

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Analysis

Why This Matters

  • CedarDB's unified database could simplify enterprise data stacks that currently separate transactional and analytical systems, reducing complexity and latency.
  • The rise of AI agents that query data in natural language demands fast analytical responses on live transactional data, a niche CedarDB aims to fill.
  • If successful, the company may challenge established database incumbents by offering PostgreSQL compatibility, lowering switching costs.

Background

CedarDB is a Technical University of Munich spinout based on the Umbra research project, which focused on processing speed by optimizing for modern hardware. The company chose to ensure compatibility with PostgreSQL, a widely used open-source database, to ease adoption. It offers a free Community Edition and a paid Enterprise Edition on-premise; the cloud version has now entered limited availability after a waitlist beta.

Key Perspectives

Enterprise customers: Companies with large transactional datasets need to answer ad-hoc analytical questions quickly, especially as AI agents prompt queries in natural language. CedarDB's ability to handle both workloads on the same system could reduce data movement and latency. CedarDB team: The cofounders debated launching a cloud offering right away but eventually prioritised reliability, fault tolerance and tool compatibility over moving quickly to the cloud. The decision to keep PostgreSQL compatibility later proved fortunate as LLMs are most familiar with its logic. Critics/Skeptics: A new database engine faces an uphill battle against entrenched vendors. While PostgreSQL compatibility reduces risk, performance claims need to hold up in production. The company operates with limited seed funding and must show real enterprise adoption to justify the decade-long development.

What to Watch

  • Early customer adoption signals: how many users from the waitlist convert to paying cloud customers.
  • Benchmarks comparing CedarDB's performance against both operational and analytical databases in production settings.
  • The outcome of CedarDB's participation in TechCrunch Disrupt's startup competition.

Sources

Zotpaper

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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