FeatureBase reduces complexity and compresses days, hours, or minutes worth of processing time into milliseconds.
Our novel approach to data access breaks through the latency floor created by the zoo of legacy data processing technologies, eliminating the need to preaggregate, federate, copy, cache or move source data.
Read our white paper to understand why the vast majority of query latency is bound up in the software reading and processing data.
Explore why researchers, marketers, data scientists, business analysts, and AI are all made markedly more effective by reducing data access latency.
The huge gap between the limitations of physics and the current state-of-the-art is a world-changing opportunity.
This white paper analyzes the most common causes of latency as they impact processing of analytical workloads. It also discusses several of the most frequently implemented solutions.
docker run -p 10101:10101 featurebasedb/featurebase
git clone https://github.com/FeatureBaseDB/featurebase-examples.git
docker network create fbnet
docker compose up