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Head-to-head · Graph Databases

TigerGraph vs GraphDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score TigerGraph #5 in Graph Databases 8.7/10 Free plan Free plan✓ 3 of 3 features Visit TigerGraph
GraphDB #6 in Graph Databases 8.5/10 Free plan · pricing on request Free plan✓ 0 of 3 features Visit GraphDB

TigerGraph leads on 0 checks, GraphDB 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 scoreTigerGraph · 8.7/10
  • Free planboth
  • Most featuresTigerGraph · 3 of 3

TigerGraph scores higher on our rubric for graph databases: 8.7 against 8.5 out of 10; our editors rank them #5 and #6.

TigerGraph is the better fit for large-scale parallel graph analytics. GraphDB is the better fit for enterprise RDF and semantic reasoning projects.

  • TigerGraph fits best

    Large-scale parallel graph analytics

  • GraphDB fits best

    Enterprise RDF and semantic reasoning projects

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Side by side

Feature TigerGraph 8.7/10 Visit ↗ GraphDB 8.5/10 Visit ↗
At a glance
Editor score 8.7 8.5
Ranking #5 in Graph Databases #6 in Graph Databases
Best for Large-scale parallel graph analytics Enterprise RDF and semantic reasoning projects
Pricing model Free plan + paid Free plan + paid
Starting price $45/GB/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted, Desktop
Platforms Web, Linux Web, Windows, macOS, Linux
Support Email, Tickets, Community, Docs Email, Community, Docs
Integrations 11 integrations 9 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features TigerGraph 3/3 · GraphDB 0/3
ACID transactions ✓ (best) Not checked yet
Graph algorithms ✓ (best) Not checked yet
Vector search ✓ (best) Not checked yet
Specs
Deployment Not checked yet Not checked yet
Query languages GSQL, openCypher, GQL Not checked yet
Included storage Not checked yet Not checked yet
Our review
Pros
  • 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
  • SPARQL 1.1, RDF-star, federated queries, and configurable reasoning
  • Enterprise clustering and multi-region deployment support
  • Connectors for search, Kafka, MongoDB, and related workflows
Cons
  • 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
  • Enterprise pricing requires contacting sales
  • The product is focused on RDF workloads
  • GraphDB is proprietary rather than open source
Our verdict

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 →

GraphDB is an RDF and SPARQL semantic graph database for developers, data scientists, knowledge engineers, administrators, and enterprises. It stores and queries RDF data, supports SPARQL 1.1, semantic inference, RDF-star, federated…

Read the review →
  1. TigerGraphGraph Databases 8.7Free plan
  2. GraphDBGraph Databases 8.5Free plan · pricing on request

Strengths and trade-offs

  • 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

  • GraphDB — where it wins

    • SPARQL 1.1, RDF-star, federated queries, and configurable reasoning
    • Enterprise clustering and multi-region deployment support
    • Connectors for search, Kafka, MongoDB, and related workflows

    Where it doesn't

    • Enterprise pricing requires contacting sales
    • The product is focused on RDF workloads
    • GraphDB is proprietary rather than open source
  • TigerGraph8.7/10 · Free plan

    A distributed graph platform for large-scale analytics, search, algorithms, and AI workloads.

    Visit TigerGraphFull verdict →
  • GraphDB8.5/10 · Free plan · pricing on request

    A focused RDF platform with semantic reasoning, federation, and enterprise deployment options.

    Visit GraphDBFull verdict →

More comparisons

All graph databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update