whichdb

Apache HugeGraph

active

by Apache Software Foundation · since 2018 · also known as HugeGraph

Apache graph database from Baidu with Gremlin and Cypher, pluggable backends and a distributed store.

graphdatabase engineopen source (permissive)growing
Website Docs Source★ 3.2K Compare Find similar

Overview

Apache HugeGraph is a property-graph database originally built at Baidu and donated to the Apache Software Foundation. It speaks Gremlin and openCypher, stores data in RocksDB for standalone setups or in its own distributed HStore (with a PD placement service) for scale-out, and ships a toolchain for loading, visualization and OLAP computing (Vermeer/Computer). The companion hugegraph-ai project adds GraphRAG and LLM integrations. It is popular in China for large knowledge and risk-control graphs; outside that community documentation is thinner and releases are infrequent (1.7.0 in November 2025).

Graph traversalGraph analyticsKnowledge graphRAG & AI memory

Strengths & trade-offs

Strengths

  • +Apache-governed, fully open source with both Gremlin and openCypher
  • +Distributed HStore backend scales to very large graphs
  • +Complete toolchain: loader, Hubble UI, OLAP computing and GraphRAG via hugegraph-ai

Trade-offs

  • −Infrequent releases and a smaller international community
  • −Documentation is partially Chinese-first
  • −Transactional guarantees are weaker than single-node ACID graph databases

Great for

  • +Large knowledge graphs
  • +Risk control and anti-fraud
  • +Social relationship analysis
  • +GraphRAG pipelines

Think twice for

  • −Small embedded graphs
  • −RDF/SPARQL workloads
  • −Teams needing commercial support from the vendor

Capabilities

Native or official first-party support · 6 of 25 tracked

✓Secondary indexes
✓Full-text search
✓TTL / expiry
✓Durable persistence
✓Compression
✓Role-based access
–Transactions
–Joins
–Vector search
–Geospatial
–JSON
–Change data capture
–Triggers
–Stored procedures
–Materialized views
–Pub/Sub
–Columnar storage
–In-memory
–Encryption at rest
–Time travel
–Branching
–Online schema changes
–Streaming ingest
–Offline sync
–Runs in WebAssembly

Scale & consistency

Comfortable data size
Large · ≤ 1 PB
Horizontal scaling
Native
Multi-region
No
Transactions
Limited ACID
Consistency
Strong
Schema
Strict
Architecture
Single node, Distributed, Client server
Query languages
Gremlin, openCypher

Distributed mode uses PD + HStore with Raft replication; standalone mode uses RocksDB.

Deployment

Self-hosted Vendor-managed cloud Serverless Embedded Edge Kubernetes operator

Ecosystem

apis & protocolsREST API, Gremlin Server
client languagesJava, Python, Go

Alternatives to Apache HugeGraph

Compare all→
JanusGraphGraph25.2

Open-source distributed graph database layered on Cassandra, HBase, ScyllaDB or Bigtable.

apache-hugegraph vs janusgraph →
NebulaGraphGraph18.1

Shared-nothing distributed graph database for trillion-edge graphs, with GQL in Enterprise v5.

apache-hugegraph vs nebulagraph →
Neo4jGraph61.2

The default property-graph database, with Cypher, a big ecosystem and a managed cloud.

apache-hugegraph vs neo4j →
TigerGraphGraph16.6

Distributed MPP graph database built for deep-link analytics on very large graphs.

apache-hugegraph vs tigergraph →
GalaxybaseGraph0.0

Chinese native distributed graph database for HTAP graph workloads in banking and energy.

apache-hugegraph vs galaxybase →
Apache TinkerPop Gremlin ServerGraph32.1

Apache TinkerPop's reference server for running Gremlin traversals over any compatible graph.

apache-hugegraph vs apache-tinkerpop-gremlin-server →

Apache HugeGraph FAQ

What is Apache HugeGraph?

Apache HugeGraph is a graph database by Apache Software Foundation, first released in 2018. Apache HugeGraph is a property-graph database originally built at Baidu and donated to the Apache Software Foundation. It speaks Gremlin and openCypher, stores data in RocksDB for standalone setups or in its own distributed HStore (with a PD placement service) for scale-out, and ships a toolchain for loading, visualization and OLAP computing (Vermeer/Computer). The companion hugegraph-ai project adds GraphRAG and LLM integrations. It is popular in China for large knowledge and risk-control graphs; outside that community documentation is thinner and releases are infrequent (1.7.0 in November 2025).

Is Apache HugeGraph open source?

Yes. Apache HugeGraph is open source. License: Apache License 2.0.

Does Apache HugeGraph support ACID transactions?

Partly. Apache HugeGraph offers limited ACID guarantees (for example, single-record or single-partition transactions), with strong consistency.

Does Apache HugeGraph scale horizontally?

Apache HugeGraph scales horizontally out of the box, with built-in sharding or partitioning. It is comfortable at large scale (≤ 1 PB).

How can I run Apache HugeGraph?

You can self-host it.

What is Apache HugeGraph best for?

Apache HugeGraph is a strong fit for large knowledge graphs; risk control and anti-fraud; and social relationship analysis. Think twice for small embedded graphs.

What are the best alternatives to Apache HugeGraph?

Common alternatives to Apache HugeGraph include JanusGraph, NebulaGraph, Neo4j, TigerGraph and Galaxybase. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.

How popular is Apache HugeGraph?

Apache HugeGraph ranks #314 of 844 databases on the WhichDB Score (9.3/100), and #25 among graph databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.