# FeatureBaseDB/featurebase

A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase

Repository: https://github.com/FeatureBaseDB/featurebase
Canonical: https://ross.abutalabs.com/products/featurebase
Homepage: https://www.featurebase.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: go, bitmap, index, pilosa, big-data, database, sql
Archived: true
Last push: 2024-02-21T23:20:41+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4048, "days_push": 924, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2521, forks 239 (observed 2026-08-28T04:06:58.334063+00:00)

## What it is
FeatureBase (formerly Pilosa) is a distributed analytical database built entirely on bitmap indexes, offering low-latency SQL queries over fresh batch and streaming data. The open-source Community edition is now archived and no longer maintained.

## Use cases
- run low-latency analytical queries on large datasets
- ingest streaming data from Kafka into an OLAP database
- store and query ML feature data efficiently
- self-host a bitmap-indexed SQL database
- analyze high-throughput event data in real time

## When to choose
- you need extremely fast ad-hoc analytical queries over bitmap-friendly data and can maintain the software yourself
- you want a self-hosted, Apache-2.0 licensed OLAP engine with streaming and batch ingestion

## When to avoid
- you need a maintained database with active support and updates - the project is archived
- you are looking for the Featurebase customer support/feedback SaaS product, which is an unrelated commercial tool
- you need general-purpose transactional (OLTP) workloads

## Facets
- artifact type: service
- maturity: abandoned
- function: database, search-engine, etl, streaming
- domain: databases, big-data, analytics, machine-learning
- platform: go, self-hosted, cloud
- tags: bitmap-index, olap, sql, pilosa, real-time-analytics, columnar, archived, linux, macos, docker

## Member repositories
- FeatureBaseDB/featurebase (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.334063+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:25:48.424014+00:00, confidence not recorded.
  - readme: https://github.com/FeatureBaseDB/featurebase (fetched 2026-08-28T04:06:58.334063+00:00, sha 7136450768a3)
  - homepage: https://www.featurebase.com (fetched 2026-08-29T10:08:12.016827+00:00, sha baf730b6ba76)
  - site_page: https://www.featurebase.app/features/support (fetched 2026-08-29T10:08:12.027809+00:00, sha 74bd4f801fa6)
  - site_page: https://www.featurebase.app/features/feedback-collection (fetched 2026-08-29T10:08:12.029726+00:00, sha ebd77d67ea0c)
  - site_page: https://www.featurebase.app/pricing (fetched 2026-08-29T10:08:12.026017+00:00, sha 09bb87a0e692)
  - site_page: https://www.featurebase.app/integrations (fetched 2026-08-29T10:08:12.032351+00:00, sha d6ec34993e0e)
  - site_page: https://www.featurebase.app/integrations/discord (fetched 2026-08-29T10:08:12.034767+00:00, sha 5cb25462c0bc)
  - site_page: https://www.featurebase.app/integrations/intercom (fetched 2026-08-29T10:08:12.036610+00:00, sha 5eae987d356a)
  - site_page: https://www.featurebase.app/integrations/segment (fetched 2026-08-29T10:08:12.038637+00:00, sha e2ba720dad86)
  - site_page: https://www.featurebase.app/integrations/slack (fetched 2026-08-29T10:08:12.040536+00:00, sha 4979d11cea24)
- Data as of 2026-08-30T08:39:29.467469+00:00.