Apache HugeGraph vs TigerGraph

Apache HugeGraph9.0Visit TigerGraph8.7Visit

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

vs

TigerGraph #5 in Graph Databases 8.7/10 Free plan Free plan✓ 3 of 3 features Visit TigerGraph

• Apache HugeGraph fits best

  Self-hosted open-source graph platforms

• TigerGraph fits best

  Large-scale parallel graph analytics

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Side by side

Feature	Apache HugeGraph 9.0/10 Visit ↗	TigerGraph 8.7/10 Visit ↗
At a glance
Editor score	9.0	8.7
Ranking	#3 in Graph Databases	#5 in Graph Databases
Best for	Self-hosted open-source graph platforms	Large-scale parallel graph analytics
Pricing model	Free	Free plan + paid
Starting price	Open source	$45/GB/mo
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Self-hosted, Browser extension	Cloud, Self-hosted
Platforms	Web, Linux, macOS	Web, Linux
Support	Email, Community, Docs	Email, Tickets, Community, Docs
Integrations	9 integrations	11 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Apache HugeGraph 3/3 · TigerGraph 3/3
ACID transactions	✓	✓
Graph algorithms	✓	✓
Vector search	✓	✓
Specs
Deployment	Self_hosted	Not checked yet
Query languages	Gremlin, Cypher/OpenCypher	GSQL, openCypher, GQL
Included storage	Not checked yet	Not checked yet
Our review
Pros	Supports both Gremlin and Cypher queries Combines transactions, algorithms, vector indexes, and GraphRAG Connects with Spark, Flink, Kafka, HBase, and other tools	Distributed native parallel graph processing for highly connected data Hybrid graph and vector search with graph algorithms and AI/ML tools Managed cloud and self-managed Linux, Docker, or Kubernetes deployment
Cons	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	Savanna pricing is usage-based and storage is billed separately Advanced capacity and availability features require higher-tier plans The platform may exceed the needs of teams seeking a narrow graph database
Our verdict	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 →	TigerGraph is a distributed graph database and analytics platform for enterprises working with highly connected data. It supports real-time graph updates, massively parallel processing, graph algorithms, GSQL, OpenCypher, and GQL, along… Read the review →

Strengths and trade-offs

• 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

• TigerGraph — where it wins

  • Distributed native parallel graph processing for highly connected data
  • Hybrid graph and vector search with graph algorithms and AI/ML tools
  • Managed cloud and self-managed Linux, Docker, or Kubernetes deployment

  Where it doesn't

  • Savanna pricing is usage-based and storage is billed separately
  • Advanced capacity and availability features require higher-tier plans
  • The platform may exceed the needs of teams seeking a narrow graph database

• Apache HugeGraph9.0/10 · Open source

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

  Try Apache HugeGraphFull verdict →
• TigerGraph8.7/10 · Free plan

  A distributed graph platform for large-scale analytics, search, algorithms, and AI workloads.

  Visit TigerGraphFull verdict →