State-of-the-Art.
Backed by a decade of database research.
A Decade of Research
CedarDB builds on Umbra, a database research project a decade in the making.
Modern Hardware, First
Designed from the ground up for multi-core CPUs, fast SSDs, and cloud storage.
Proven Performance
Top scores in ClickBench, TPC-H, and the CH-Benchmark, published and peer-reviewed.
Built by the Inventors
The same team behind HyPer and Umbra, now building CedarDB.
Research
From Research Project to Production Database
The Problem
Legacy database systems accumulate 40 years of architectural compromises, leaving them unable to exploit modern hardware.
Our Approach
Umbra was built from scratch to incorporate the lessons of four decades of database research into a system designed for today's hardware.
The Problem
Most systems force a trade-off between transactional and analytical performance.
Our Approach
Our hybrid storage engine, Colibri, combines compressed columnar and row-based storage so a single system excels at both.
The Problem
Academic prototypes rarely survive contact with production workloads.
Our Approach
CedarDB turns a decade of peer-reviewed research into an enterprise-grade, PostgreSQL-compatible database you can run today.
Continue reading
Read more in the CedarDB Blog
CedarDB Launches HTAP (10 Years Ago)
Unifying transactions and analytics is once again making news headlines as the holy grail for AI agents. But it is hardly news. Umbra, the research behind CedarDB, started 10 years ago, and even then it was not the first. With CedarDB, what other vendors still call impossible is running in production today.
Can You Do Both: Fast Scans and Fast Writes in a Single System?
Most database systems focus on either analytical or transactional performance due to their contrasting data access patterns. CedarDB, however, achieves high performance in both areas (HTAP) with its unified storage system, Colibri, which combines compressed columnar data and row-based storage.
Why German Strings are Everywhere
Many data processing systems have adapted our custom string format. Find out what makes it so special and why it is so relevant to them.