gchq/Gaffer
A large-scale entity and relation database supporting aggregation of properties observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 25
- Release rhythm 16
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 95
- age_days: 3915
- days_rel: 575
- days_push: 453
- n_releases_24m: 2
Adoption not part of the score
1787 stars · 362 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity abandoned
database search-engine analytics databases big-data graph-processing jvm graph-database accumulo hbase spark rest-api hadoop
1 source
- readme: https://github.com/gchq/Gaffer · fetched 2026-08-28 · 41c130c1990f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gchq/Gaffer | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem