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Head-to-head · Graph Databases

Amazon Neptune vs TigerGraph

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

Amazon Neptune leads on 0 checks, TigerGraph 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 TigerGraph
  • Free trialonly Amazon Neptune

Amazon Neptune scores higher on our rubric for graph databases: 9.2 against 8.7 out of 10; our editors rank them #2 and #5.

TigerGraph offers free plan; Amazon Neptune doesn't.

Amazon Neptune is the better fit for managed AWS graph deployments. TigerGraph is the better fit for large-scale parallel graph analytics.

  • Amazon Neptune fits best

    Managed AWS graph deployments

  • TigerGraph fits best

    Large-scale parallel graph analytics

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Side by side

Feature Amazon Neptune 9.2/10 Visit ↗ TigerGraph 8.7/10 Visit ↗
At a glance
Editor score 9.2 8.7
Ranking #2 in Graph Databases #5 in Graph Databases
Best for Managed AWS graph deployments Large-scale parallel graph analytics
Pricing model Paid Free plan + paid
Starting price — $45/GB/mo
Free plan — ✓ (best)
Free trial 30 days —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web, Linux
Support Docs Email, Tickets, Community, Docs
Compliance SOC 2, HIPAA SOC 2, ISO 27001, GDPR, PCI DSS, SSO/SAML
Integrations 8 integrations 11 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Neptune 3/3 · TigerGraph 3/3
ACID transactions ✓ ✓
Graph algorithms ✓ ✓
Vector search ✓ ✓
Specs
Deployment Cloud Not checked yet
Query languages Gremlin, openCypher, SPARQL GSQL, openCypher, GQL
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
  • 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
  • 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
  • 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

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 →

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 →
  1. Amazon NeptuneGraph Databases 9.230-day trial
  2. TigerGraphGraph Databases 8.7Free 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

  • 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

More comparisons

All graph databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update