Neo4j vs TigerGraph
On the evidence we track, Neo4j leads this comparison with a composite score of 55/100. 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
LeaderA managed cloud graph database that stores data as interconnected entities and relationships, designed for knowledge graphs, AI applications, and complex relationship analysis.
TigerGraph
A graph database platform that models relationships between data points, supporting enterprise deployments with features for compliance, fraud detection, real-time identity verification, and integration with existing enterprise infrastructure.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
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
- Kafka
- LDAP
Neo4j
Leader- Spring Framework
- StepZen
- Apache Kafka
- Couchbase
- JDBC
TigerGraph
- Snowflake
- Apache Iceberg
- AWS S3
- MinIO
- Ceph
- Wasabi
- Kerberos
- SAML
- OIDC
- S3
- Amazon S3
Neo4j or TigerGraph: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.