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Head-to-head · Graph Database Hosting

TigerGraph vs NebulaGraph

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score TigerGraph #3 in Graph Database Hosting 9.0/10 Free plan Free plan✓ 1 of 3 features Visit TigerGraph
NebulaGraph #6 in Graph Database Hosting 8.7/10 Free plan · 14-day trial Free planFree trial✓ 1 of 3 features Visit NebulaGraph

TigerGraph leads on 0 checks, NebulaGraph on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTigerGraph · 9.0/10
  • Free planboth
  • Free trialonly NebulaGraph

TigerGraph scores higher on our rubric for graph database hosting: 9.0 against 8.7 out of 10; our editors rank them #3 and #6.

TigerGraph is the better fit for large-scale parallel graph analytics. NebulaGraph is the better fit for open-source distributed graph deployments.

  • TigerGraph fits best

    Large-scale parallel graph analytics

  • NebulaGraph fits best

    Open-source distributed graph deployments

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Side by side

Feature TigerGraph 9.0/10 Visit ↗ NebulaGraph 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #3 in Graph Database Hosting #6 in Graph Database Hosting
Best for Large-scale parallel graph analytics Open-source distributed graph deployments
Pricing model Free plan + paid Free
Starting price $45/GB/mo Free
Free plan ✓ ✓
Free trial — 14 days
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web, Linux Web, Linux, Windows, macOS
Support Email, Tickets, Community, Docs Docs, Tickets
Integrations 11 integrations 3 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features TigerGraph 1/3 · NebulaGraph 1/3
High availability Not checked yet Not checked yet
Automated backups Not checked yet Not checked yet
Vector search ✓ ✓
Specs
Supported engines Not checked yet Not checked yet
Query languages GSQL, openCypher, GQL nGQL, openCypher, ISO-GQL
Deployment scope Not checked yet Not checked yet
Storage limit Not checked yet Not checked yet
Our review
Pros
  • Distributed native parallel processing for highly connected data
  • GSQL, OpenCypher, and GQL query support
  • Hybrid graph-vector search with algorithms and AI/ML tools
  • Distributed storage with horizontal scalability
  • nGQL and openCypher-compatible query support
  • Native vector search, algorithms, and visualization tools
Cons
  • Savanna uses usage-based billing, with storage billed separately
  • Savanna Free Trial is not a permanent free cloud plan
  • Self-managed deployments require Linux, Docker, or Kubernetes
  • Deployment choices may require more technical planning
  • The product spans multiple editions and deployment models
  • Narrow relational workloads may not need its graph-focused feature set
Our verdict

TigerGraph is a distributed graph database and analytics platform for enterprises working with highly connected data. It supports real-time graph updates, parallel processing, graph algorithms, multiple query languages, graph and vector…

Read the review →

NebulaGraph is an open-source, distributed graph database for developers and organizations working with highly connected data. It represents entities as vertices and relationships as edges, then supports traversal and pattern matching…

Read the review →
  1. TigerGraphGraph Database Hosting 9.0Free plan
  2. NebulaGraphGraph Database Hosting 8.7Free plan · 14-day trial

Strengths and trade-offs

  • TigerGraph — where it wins

    • Distributed native parallel processing for highly connected data
    • GSQL, OpenCypher, and GQL query support
    • Hybrid graph-vector search with algorithms and AI/ML tools

    Where it doesn't

    • Savanna uses usage-based billing, with storage billed separately
    • Savanna Free Trial is not a permanent free cloud plan
    • Self-managed deployments require Linux, Docker, or Kubernetes

  • NebulaGraph — where it wins

    • Distributed storage with horizontal scalability
    • nGQL and openCypher-compatible query support
    • Native vector search, algorithms, and visualization tools

    Where it doesn't

    • Deployment choices may require more technical planning
    • The product spans multiple editions and deployment models
    • Narrow relational workloads may not need its graph-focused feature set

More comparisons

All graph database hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update