QuasarDB is a high-performance, distributed, time series database. QuasarDB has been designed to handle the most extreme time series use cases in financial applications. It seamlessly combines, in a single product, in-memory database capabilities with efficient, reliable long-term storage. Scalability is transparent, whether it’s for very large and dense time series or millions of smaller ones.
In one system, QuasarDB delivers long term data storage and in-memory time series analytics. Whether the data is from 20 years ago or 1 year ago, it is made transparently available. QuasarDB leverages the full depth of your data history, streamlines your processes, and saves a lot of precious time. Through its SQL interface QuasarDB delivers immediate productivity to analysts. QuasarDB integrates easily with R and Python, including numpy and Pandas. Users become immediately productive and aren’t jailed in a proprietary language.
With its ultra-efficient low-level C++ implementation, unique distribution and compression algorithms, QuasarDB delivers unparalleled TCO in a small package. That means ingesting billions of points per second while keeping a very low disk and memory footprint.
About the founders/CEO:
QuasarDB was founded by Edouard Alligand. Prior to founding QuasarDB, Edouard founded Bureau 14 in 2008, a company specializing in high-speed, low-latency data processing. Before this, he worked in various IT roles, including Senior Driver Developer for Utimaco Safeqare AG, Lead Security Engineer at Ministere de la Defense and Software Developer for Enginest. Eduard graduated from Université Henri Poincaré with a Masters' in Mathematics and Computer Science.