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Head-to-head · Graph Databases

TigerGraph vs AllegroGraph

  • 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
AllegroGraph #7 in Graph Databases 8.4/10 Free plan Free plan✓ 0 of 3 features Visit AllegroGraph

TigerGraph leads on 0 checks, AllegroGraph 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 8.4 out of 10; our editors rank them #5 and #7.

TigerGraph is the better fit for large-scale parallel graph analytics. AllegroGraph is the better fit for semantic RDF and reasoning workloads.

  • TigerGraph fits best

    Large-scale parallel graph analytics

  • AllegroGraph fits best

    Semantic RDF and reasoning workloads

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Side by side

Feature TigerGraph 8.7/10 Visit ↗ AllegroGraph 8.4/10 Visit ↗
At a glance
Editor score 8.7 8.4
Ranking #5 in Graph Databases #7 in Graph Databases
Best for Large-scale parallel graph analytics Semantic RDF and reasoning workloads
Pricing model Free plan + paid Free plan + paid
Starting price $45/GB/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web, Linux Web, Windows, macOS, Linux
Support Email, Tickets, Community, Docs Email, Docs
Integrations 11 integrations 9 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features TigerGraph 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 Not checked yet Not checked yet
Query languages GSQL, openCypher, GQL SPARQL, Prolog
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
  • RDF, SPARQL, OWL, RDFS++, and Prolog support
  • Sharding, federation, ACID transactions, and replication
  • Vector storage, LLM integration, and graph visualization
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
  • 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

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 →

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. TigerGraphGraph Databases 8.7Free plan
  2. AllegroGraphGraph Databases 8.4Free plan

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
  • 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