Neo4j vs Apache HugeGraph

Neo4j9.4Visit Apache HugeGraph9.0Visit

Higher score Neo4j #1 in Graph Databases 9.4/10 Free plan · 14-day trial Free planFree trial✓ 3 of 3 features Visit Neo4j

vs

Apache HugeGraph #3 in Graph Databases 9.0/10 Open source ✓ 3 of 3 features Try Apache HugeGraph

• Neo4j fits best

  Broad enterprise graph workloads

• Apache HugeGraph fits best

  Self-hosted open-source graph platforms

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Side by side

Feature	Neo4j 9.4/10 Visit ↗	Apache HugeGraph 9.0/10 Visit ↗
At a glance
Editor score	9.4	9.0
Ranking	#1 in Graph Databases	#3 in Graph Databases
Best for	Broad enterprise graph workloads	Self-hosted open-source graph platforms
Pricing model	Free plan + paid	Free
Starting price	—	Open source
Free plan	✓ (best)	—
Free trial	14 days	—
Deployment	Cloud, Self-hosted	Self-hosted, Browser extension
Platforms	Web, Windows, macOS, Linux	Web, Linux, macOS
Support	Tickets, Live chat, Community, Docs	Email, Community, Docs
Integrations	10 integrations	9 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Neo4j 3/3 · Apache HugeGraph 3/3
ACID transactions	✓	✓
Graph algorithms	✓	✓
Vector search	✓	✓
Specs
Deployment	Not checked yet	Self_hosted
Query languages	Cypher, GQL	Gremlin, Cypher/OpenCypher
Included storage	2 GB	Not checked yet
Our review
Pros	Native property graphs with Cypher and full ACID transactions Graph algorithms, vector indexes, and machine-learning pipelines Managed and self-managed deployment across major cloud platforms	Supports both Gremlin and Cypher queries Combines transactions, algorithms, vector indexes, and GraphRAG Connects with Spark, Flink, Kafka, HBase, and other tools
Cons	Professional requires a minimum 1GB cluster Business Critical requires a minimum 2GB cluster Virtual Dedicated Cloud pricing requires contacting sales	Requires teams prepared to operate self-hosted infrastructure Broad components add architecture and operational decisions Not suited to buyers seeking a vendor-managed hosted service
Our verdict	Neo4j is a native graph database for developers, data scientists, and organizations working with connected data. It stores nodes, relationships, and properties, with use cases including analytics, recommendations, fraud detection,… Read the review →	Apache HugeGraph is an open-source full-stack graph system for organizations building property-graph applications, knowledge graphs, fraud detection, recommendations, relationship analysis, and other graph-data workloads. It supports… Read the review →

Strengths and trade-offs

• Neo4j — where it wins

  • Native property graphs with Cypher and full ACID transactions
  • Graph algorithms, vector indexes, and machine-learning pipelines
  • Managed and self-managed deployment across major cloud platforms

  Where it doesn't

  • Professional requires a minimum 1GB cluster
  • Business Critical requires a minimum 2GB cluster
  • Virtual Dedicated Cloud pricing requires contacting sales

• Apache HugeGraph — where it wins

  • Supports both Gremlin and Cypher queries
  • Combines transactions, algorithms, vector indexes, and GraphRAG
  • Connects with Spark, Flink, Kafka, HBase, and other tools

  Where it doesn't

  • Requires teams prepared to operate self-hosted infrastructure
  • Broad components add architecture and operational decisions
  • Not suited to buyers seeking a vendor-managed hosted service

• Neo4j9.4/10 · Free plan · 14-day trial

  A broad graph platform spanning managed cloud, self-managed deployments, analytics, and AI.

  Visit Neo4jFull verdict →
• Apache HugeGraph9.0/10 · Open source

  A self-hosted graph platform combining transactional storage, analytics, and graph-AI tooling.

  Try Apache HugeGraphFull verdict →