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Head-to-head · Graph Databases

Amazon Neptune vs AllegroGraph

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon Neptune #2 in Graph Databases 9.2/10 30-day trial Free trial✓ 3 of 3 features Visit Amazon Neptune
AllegroGraph #7 in Graph Databases 8.4/10 Free plan Free plan✓ 0 of 3 features Visit AllegroGraph

Amazon Neptune 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 scoreAmazon Neptune · 9.2/10
  • Free planonly AllegroGraph
  • Free trialonly Amazon Neptune
  • Most featuresAmazon Neptune · 3 of 3

Amazon Neptune scores higher on our rubric for graph databases: 9.2 against 8.4 out of 10; our editors rank them #2 and #7.

AllegroGraph offers free plan; Amazon Neptune doesn't.

Amazon Neptune is the better fit for managed AWS graph deployments. AllegroGraph is the better fit for semantic RDF and reasoning workloads.

  • Amazon Neptune fits best

    Managed AWS graph deployments

  • AllegroGraph fits best

    Semantic RDF and reasoning workloads

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Side by side

Feature Amazon Neptune 9.2/10 Visit ↗ AllegroGraph 8.4/10 Visit ↗
At a glance
Editor score 9.2 8.4
Ranking #2 in Graph Databases #7 in Graph Databases
Best for Managed AWS graph deployments Semantic RDF and reasoning workloads
Pricing model Paid Free plan + paid
Starting price — —
Free plan — ✓ (best)
Free trial 30 days —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web, Windows, macOS, Linux
Support Docs Email, Docs
Integrations 8 integrations 9 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Neptune 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 Cloud Not checked yet
Query languages Gremlin, openCypher, SPARQL SPARQL, Prolog
Included storage Not checked yet Not checked yet
Our review
Pros
  • Supports Gremlin, openCypher, and SPARQL query languages
  • Includes read replicas, Multi-AZ failover, and point-in-time recovery
  • Adds graph algorithms and vector similarity search through Neptune Analytics
  • RDF, SPARQL, OWL, RDFS++, and Prolog support
  • Sharding, federation, ACID transactions, and replication
  • Vector storage, LLM integration, and graph visualization
Cons
  • Uses usage-based pricing rather than fixed subscription plans
  • Requires AWS ecosystem fit for its integrations and access controls
  • Neptune Analytics is separate from the core managed database 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

Amazon Neptune is a fully managed graph database service for applications built on highly connected datasets. It supports property graphs through Gremlin and openCypher, as well as RDF graphs through SPARQL. That makes it suitable for…

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. Amazon NeptuneGraph Databases 9.230-day trial
  2. AllegroGraphGraph Databases 8.4Free plan

Strengths and trade-offs

  • Amazon Neptune — where it wins

    • Supports Gremlin, openCypher, and SPARQL query languages
    • Includes read replicas, Multi-AZ failover, and point-in-time recovery
    • Adds graph algorithms and vector similarity search through Neptune Analytics

    Where it doesn't

    • Uses usage-based pricing rather than fixed subscription plans
    • Requires AWS ecosystem fit for its integrations and access controls
    • Neptune Analytics is separate from the core managed database 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