Neo4j vs TigerGraph
On the evidence we track, Neo4j leads this comparison with a composite score of 50/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for graph databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Neo4j
LeaderNeo4j is a graph database designed to organize and query connected data using a native graph model. It provides an intuitive query language and tools for discovering patterns and relationships across complex, interconnected datasets.
TigerGraph
TigerGraph is a graph database that connects and understands relationships in data to enable context-aware enterprise AI and analytics. It performs fast multi-hop reasoning across connected data for fraud detection, customer intelligence, compliance, and other regulated business use cases at enterprise scale.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Neo4j
LeaderFree tier and community edition available; commercial managed and self-hosted options
TigerGraph
Usage-based pricing on compute instances and storage; free tier available
- BasicPay-per-use VM instances and storage
- PremiumPay-per-use VM instances and storage
- EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- GraphQL
- Apache Spark
Neo4j
Leader- Spring Framework
- StepZen
- Apache Kafka
TigerGraph
- Snowflake
- Kafka
- Apache Iceberg
- AWS S3
- MinIO
- Ceph
- Wasabi
- Kerberos
- SAML
- OIDC
- LDAP
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.