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GraphBase vs TigerGraph

GraphBase: FactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs.

key differences

  • TigerGraph is built for larger datasets (≤ 1 PB) than GraphBase (≤ 10 TB).
  • Only TigerGraph has secondary indexes, vector search, compression, encryption at rest, role-based access.

choose graphbase for

  • +Enterprise knowledge graphs
  • +Graph-backed retrieval for LLM applications
  • +Modelling complex interconnected reference data

best at · Knowledge graph, Traversal, RAG

choose tigergraph for

  • +Real-time fraud and AML detection
  • +Supply chain and network analysis
  • +Customer 360 and entity resolution
  • +Recommendation engines over large catalogs

best at · Graph analytics, Traversal, Real-time analytics

overview
Primary model
Graph
Graph
Also supports
RDF / Triple Store
Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
FactNexus Pty Ltd
TigerGraph, Inc.
First release
2017
2017
Latest version
–
4.2.5 (Sep 2, 2026)
License
ProprietaryProprietary
ProprietaryProprietary (free Community Edition)
Free tier
—
✓
popularity
WhichDB Score
0.0
16.6
Rank
#747
#198
GitHub stars
–
–
Stack Overflow questions
–
38
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Strict
Architecture
Distributed, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Google Cloud, Azure
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
—
✓
Full-text search
—
—
Vector search
—
✓
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
✓
✓
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
✓
Encryption at rest
—
✓
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
GraphBase bounding queries, Visual query builder
GSQL, openCypher, GQL
Client languages
Java
Python (pyTigerGraph), Java, JavaScript, Go
Best for
Knowledge graph, Traversal, RAG
Graph analytics, Traversal, Real-time analytics, Knowledge graph

GraphBase vs TigerGraph: FAQ

What is the difference between GraphBase and TigerGraph?

GraphBase: FactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs. TigerGraph is built for larger datasets (≤ 1 PB) than GraphBase (≤ 10 TB). Only TigerGraph has secondary indexes, vector search, compression, encryption at rest, role-based access.

When should I choose GraphBase over TigerGraph?

Choose GraphBase for enterprise knowledge graphs, graph-backed retrieval for LLM applications and modelling complex interconnected reference data. Choose TigerGraph for real-time fraud and AML detection; supply chain and network analysis; and customer 360 and entity resolution.

Is GraphBase or TigerGraph more popular?

TigerGraph ranks #198 on the WhichDB Score (16.6/100) and GraphBase ranks #747 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are GraphBase and TigerGraph open source?

No. GraphBase is proprietary, closed-source software. No. TigerGraph is proprietary, closed-source software.