apache/hugegraph
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 99
- Release rhythm 25
- Longevity 100
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: 341
- age_days: 2968
- days_rel: 290
- days_push: 7
- n_releases_24m: 2
Adoption not part of the score
3157 stars · 631 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Apache HugeGraph is a fast, highly scalable graph database supporting tens of billions of vertices and edges with OLTP real-time queries via Gremlin, Cypher, and REST APIs. It forms a full-stack graph ecosystem including distributed OLAP graph computing (HugeGraph-Computer), GraphRAG/AI tooling (HugeGraph-AI), and a toolchain for loading, visualizing, and managing graph data.
Use cases
- store and query billions of vertices and edges in real time
- run gremlin or cypher queries against a property graph
- build a knowledge graph for fraud detection or recommendations
- implement GraphRAG question answering over connected data
- run distributed graph algorithms like PageRank at scale
- import massive datasets into a graph database
- visualize and explore graph data in a web UI
When to choose
- you need millisecond-level OLTP queries over very large graphs
- you want TinkerPop/Gremlin compatibility with pluggable backends
- you need both OLTP querying and OLAP graph computing in one ecosystem
- you are building GraphRAG or LLM-powered graph applications
- you need horizontal scaling from standalone to PB-level clusters
When to avoid
- you need relational or document data models rather than property graphs
- you rely on MySQL, PostgreSQL, Cassandra, or ScyllaDB backends (removed in 1.7.0)
- your graph is small enough for simpler embedded options like SQLite-based stores
- you require full TinkerPop feature coverage such as threaded transactions
- you cannot run Java 11+ or operate JVM-based server infrastructure
Facets
service · maturity active
database search-engine rag machine-learning api-framework etl data-visualization databases big-data graph-processing artificial-intelligence jvm self-hosted cloud graph-database gremlin cypher tinkerpop oltp olap graphrag knowledge-graph rocksdb hbase distributed graph-computing pregel text2gremlin retrieval-augmented-generation knowledge-graphs linux docker kubernetes
10 sources
- readme: https://github.com/apache/hugegraph · fetched 2026-08-28 · e6818996dbb5
- homepage: https://hugegraph.apache.org · fetched 2026-08-29 · 9987daed432a
- site_page: https://hugegraph.apache.org/docs · fetched 2026-08-29 · 58edec5de121
- site_page: https://hugegraph.apache.org/docs/download/download · fetched 2026-08-29 · c7311f16a8cd
- site_page: https://hugegraph.apache.org/docs/quickstart/hugegraph/hugegraph-server · fetched 2026-08-29 · 27172e76b11d
- site_page: https://hugegraph.apache.org/docs/quickstart/computing/hugegraph-computer · fetched 2026-08-29 · e414af4d8ded
- site_page: https://hugegraph.apache.org/docs/quickstart/hugegraph-ai · fetched 2026-08-29 · 09f3199d701a
- site_page: https://hugegraph.apache.org/docs/language/hugegraph-gremlin · fetched 2026-08-29 · 058bbe1696dd
- site_page: https://hugegraph.apache.org/docs/clients/restful-api/cypher · fetched 2026-08-29 · 7219aad0d3a1
- site_page: https://hugegraph.apache.org/docs/quickstart/toolchain · fetched 2026-08-29 · 1ed9918962d0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apache/hugegraph | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="apache/hugegraph")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem