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Head-to-head · Graph Databases

Apache HugeGraph vs AllegroGraph

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache HugeGraph #3 in Graph Databases 9.0/10 Open source ✓ 3 of 3 features Try Apache HugeGraph
AllegroGraph #7 in Graph Databases 8.4/10 Free plan Free plan✓ 0 of 3 features Visit AllegroGraph

Apache HugeGraph leads on 0 checks, AllegroGraph on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache HugeGraph · 9.0/10
  • Free planonly AllegroGraph
  • Most featuresApache HugeGraph · 3 of 3

Apache HugeGraph scores higher on our rubric for graph databases: 9.0 against 8.4 out of 10; our editors rank them #3 and #7.

AllegroGraph offers free plan; Apache HugeGraph doesn't.

Apache HugeGraph is the better fit for self-hosted open-source graph platforms. AllegroGraph is the better fit for semantic RDF and reasoning workloads.

  • Apache HugeGraph fits best

    Self-hosted open-source graph platforms

  • AllegroGraph fits best

    Semantic RDF and reasoning workloads

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Side by side

Feature Apache HugeGraph 9.0/10 Visit ↗ AllegroGraph 8.4/10 Visit ↗
At a glance
Editor score 9.0 8.4
Ranking #3 in Graph Databases #7 in Graph Databases
Best for Self-hosted open-source graph platforms Semantic RDF and reasoning workloads
Pricing model Free Free plan + paid
Starting price Open source —
Free plan — ✓ (best)
Free trial — —
Deployment Self-hosted, Browser extension Cloud, Self-hosted
Platforms Web, Linux, macOS Web, Windows, macOS, Linux
Support Email, Community, Docs Email, Docs
Integrations 9 integrations 9 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache HugeGraph 3/3 · AllegroGraph 0/3
ACID transactions ✓ (best) Not checked yet
Graph algorithms ✓ (best) Not checked yet
Vector search ✓ (best) Not checked yet
Specs
Deployment Self_hosted Not checked yet
Query languages Gremlin, Cypher/OpenCypher SPARQL, Prolog
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
  • RDF, SPARQL, OWL, RDFS++, and Prolog support
  • Sharding, federation, ACID transactions, and replication
  • Vector storage, LLM integration, and graph visualization
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
  • The Free plan is limited to 5 million triples
  • Enterprise pricing is quote-based
  • Semantic focus may not suit general property-graph workloads
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 →

AllegroGraph is a semantic graph database for organizations building knowledge graphs, data fabrics, and AI applications. It stores RDF, graph, vector, document, and temporal data, with support for SPARQL, OWL reasoning, SHACL, rules, and…

Read the review →
  1. Apache HugeGraphGraph Databases 9.0Open source
  2. AllegroGraphGraph Databases 8.4Free plan

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
  • AllegroGraph — where it wins

    • RDF, SPARQL, OWL, RDFS++, and Prolog support
    • Sharding, federation, ACID transactions, and replication
    • Vector storage, LLM integration, and graph visualization

    Where it doesn't

    • The Free plan is limited to 5 million triples
    • Enterprise pricing is quote-based
    • Semantic focus may not suit general property-graph workloads

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update