About FeatureBase

A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation.

Blazing-Fast Queries

Handles most complex requests in milliseconds.

Mutable Format

Runs in-memory and supports on-the-fly updates and deletes.

Saves Bits

5-10X reduction in memory footprint and 10X reduction in hardware costs.

Horizontally Scalable

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.”

Adam Blue

CTO, Q2Ebanking

“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.”

Corey Zwart

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.”

Matthew Boyda

Vice President, P&R/Power Solutions, Wood Mackenzie

Choose Your Deployment

FeatureBase

Open Source

Join the FeatureBase community and help us build a general-purpose database based on bitmaps.

CHECK OUT THE COMMUNITY

FeatureBase

Cloud

All the performance and flexibility of FeatureBase without the infrastructure to manage. Try FeatureBase Cloud today.

START CLOUD TRIAL

Blogs

For Data Engineers

How Tremor Video Process Data from 20B Devices and Makes Predictions in Real-Time Using FeatureBase

For Data Engineers

Billion Taxi Ride Dataset

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Get Started for Free

Open Source install commands are included below. Requires git and Docker

open source CODE START CLOUD TRIAL

git clone https://github.com/FeatureBaseDB/featurebase-examples.git
cd featurebase-examples/docker-simple
docker network create fbnet
docker compose up

git clone https://github.com/FeatureBaseDB/featurebase-examples.git
cd featurebase-examples/docker-example

docker-compose -f docker-compose.yml up -d

# TIP: Disable Docker compose v2 if needed by going to settings..general in Docker Desktop.

About FeatureBase

Choose Your Deployment

Blogs

7 Metrics to Watch When Monitoring FeatureBase Clusters

Setting up Kafka to Test with FeatureBase

FeatureBase Technical Concepts and Architecture

The Power of SET (No…Not Set, the Egyptian God of Chaos…just SET)

How Tremor Video Process Data from 20B Devices and Makes Predictions in Real-Time Using FeatureBase

Billion Taxi Ride Dataset

Get Started for Free