Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Graph Databases

Amazon Neptune vs Apache HugeGraph

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

Amazon Neptune leads on 0 checks, Apache HugeGraph on 0, and 4 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 trialonly Amazon Neptune

Amazon Neptune scores higher on our rubric for graph databases: 9.2 against 9.0 out of 10; our editors rank them #2 and #3.

On deployment, Apache HugeGraph gives you Self_hosted where Amazon Neptune offers Cloud.

Amazon Neptune is the better fit for managed AWS graph deployments. Apache HugeGraph is the better fit for self-hosted open-source graph platforms.

  • Amazon Neptune fits best

    Managed AWS graph deployments

  • Apache HugeGraph fits best

    Self-hosted open-source graph platforms

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon Neptune 9.2/10 Visit ↗ Apache HugeGraph 9.0/10 Visit ↗
At a glance
Editor score 9.2 9.0
Ranking #2 in Graph Databases #3 in Graph Databases
Best for Managed AWS graph deployments Self-hosted open-source graph platforms
Pricing model Paid Free
Starting price — Open source
Free plan — —
Free trial 30 days —
Deployment Cloud Self-hosted, Browser extension
Platforms Web Web, Linux, macOS
Support Docs Email, Community, Docs
Integrations 8 integrations 9 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon Neptune 3/3 · Apache HugeGraph 3/3
ACID transactions ✓ ✓
Graph algorithms ✓ ✓
Vector search ✓ ✓
Specs
Deployment Cloud Self_hosted
Query languages Gremlin, openCypher, SPARQL Gremlin, Cypher/OpenCypher
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
  • Supports both Gremlin and Cypher queries
  • Combines transactions, algorithms, vector indexes, and GraphRAG
  • Connects with Spark, Flink, Kafka, HBase, and other tools
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
  • 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

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 →

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 →
  1. Amazon NeptuneGraph Databases 9.230-day trial
  2. Apache HugeGraphGraph Databases 9.0Open source

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

  • 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

More comparisons

All graph databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update