Amazon Neptune vs TigerGraph
No clear leader: Amazon Neptune (44.9) and TigerGraph (42.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
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.
Amazon Neptune
A cloud-based graph database that scales serverlessly and analyzes relationships across structured and unstructured data. Designed to improve AI application accuracy through integrated GraphRAG capabilities and support for agentic memory tools.
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.
Amazon Neptune
Pay-as-you-go pricing with on-demand, serverless, and savings plan options. No minimum fees or upfront commitments for on-demand/serverless.
- On-demandPay-as-you-go with no commitments
- No minimum fees
- No upfront commitments
- Flexible configuration
- ServerlessServerless with automatic scaling
- Automatic scaling
- No minimum fees
- No upfront commitments
- Database Savings PlansUsage-based savings plan with 1-year commitment
- Savings vs. on-demand
- 1-year commitment
- Neptune AnalyticsPer m-NCU-hour billing with pause option
- Fast analytics on billions of connections
- In-memory storage
- Optimized graph algorithms
- Low-latency queries
- Vector search
- +1 more
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.
Amazon Neptune
- Amazon Bedrock Knowledge Bases
- Strands AI Agents SDK
TigerGraph
- Snowflake
- Apache Spark
- Kafka
- Apache Iceberg
- AWS S3
- MinIO
- Ceph
- Wasabi
- Kerberos
- SAML
- OIDC
- LDAP
- GraphQL
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.