A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation.
Handles most complex requests in milliseconds.
Runs in-memory and supports on-the-fly updates and deletes.
5-10X reduction in memory footprint and 10X reduction in hardware costs.
Distributed, highly-scalable analytical processing engine built to handle extreme workloads.
Secure by Design
SOC 2 Type II compliant, table-level access control, query auditing, and admin auditing.
Easy to Use
Built-in SQL support, REST API endpoints, auto scaling, and decentralized sharding.
“Using FeatureBase, we analyzed activity across 100M monthly logins in real time. Working with this volume of data before would be impossible.”
“FeatureBase gives us the ability to analyze significant volumes of both streaming and batch data with extreme efficiency and a minimal hardware footprint, making it possible to use real-time data to keep operational teams informed.”
IT Technology Infrastructure
North Texas Hospital
“FeatureBase is hands-down a game-changer for our company and clients. The technology behind the blistering performance speeds is unparalleled and couldn't be backed by a better team.”
Head of Engineering, Pumpjack Dataworks
“FeatureBase enables us to analyze large volumes of data in real time, unlocking new insights and products that were not possible before.”