# gchq/Gaffer

A large-scale entity and relation database supporting aggregation of properties

Repository: https://github.com/gchq/Gaffer
Canonical: https://ross.abutalabs.com/products/gaffer
Language: Java
License: Apache-2.0
License Family: permissive
Topics: accumulo, graph, graph-database, hadoop, big-data, aggregation, hbase, parquet, spark
Archived: true
Last push: 2025-06-06T08:50:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 25, release rhythm 16, longevity 100
- inputs: {"age_days": 3915, "days_push": 453, "days_rel": 575, "gap_med": 95, "n_releases_24m": 2}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1787, forks 362 (observed 2026-08-28T04:05:36.299577+00:00)

## What it is
Gaffer is a large-scale graph database framework for storing very large graphs with rich properties, supporting backends like Accumulo, HBase, and an in-memory map store. It provides high-rate ingest, query-time aggregation and summarisation, fine-grained access controls, and a REST API.

## Use cases
- store and query very large graphs with rich node and edge properties
- continually ingest high-volume data into a graph database
- aggregate statistical properties like counts and histograms in-database
- analyse graph data with Apache Spark
- serve graph queries over a REST API
- apply fine-grained access controls to graph data

## When to choose
- you need a general-purpose operational graph database with active community support
- your dataset is small enough for lighter graph tools like Neo4j
- you require ongoing maintenance and updates, since the project is archived

## Facets
- artifact type: library
- maturity: abandoned
- function: database, search-engine, analytics
- domain: databases, big-data, graph-processing
- platform: jvm
- tags: graph-database, accumulo, hbase, spark, rest-api, hadoop

## Member repositories
- gchq/Gaffer (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:36.299577+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 2026-08-30T03:23:28.892965+00:00, confidence not recorded.
  - readme: https://github.com/gchq/Gaffer (fetched 2026-08-28T04:05:36.299577+00:00, sha 41c130c1990f)
- Data as of 2026-08-30T08:39:29.467469+00:00.