Amazon Neptune
Serverless graph database service for connected data and improved AI accuracy
- Also known as
- amazon-neptune
What is Amazon Neptune?
Managed graph database that instantly scales graph workloads and improves accuracy of generative AI applications by capturing context in connected data. Analyzes tens of billions of relationships across structured and unstructured data within seconds.
Amazon Neptune pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Pay-as-you-go pricing with on-demand, serverless, and savings plan options. No minimum fees or upfront commitments for on-demand/serverless.
On-demand
Pay-as-you-go pricing with no minimum fees or upfront commitments
- No minimum fees
- No upfront commitments
- Flexible configuration
Serverless
Automatically scales graph workloads with no minimum fees or upfront commitments
- Automatic scaling
- No minimum fees
- No upfront commitments
Database Savings Plans
Flexible pricing model offering savings in exchange for commitment to specific usage over 1-year term
- Savings vs. on-demand
- 1-year commitment
Neptune Analytics
Analytic database engine for fast analytics over graph data. Billed per m-NCU (each m-NCU = 1 GB memory + compute/networking for 1 hour). Pause capability costs 10% of normal compute price.
- Fast analytics on billions of connections
- In-memory storage
- Optimized graph algorithms
- Low-latency queries
- Vector search
- Pause/resume capability
What Amazon Neptune does
The capabilities that matter for graph databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Graph model
- Property graph
- Query language(s)
- -
- ACID transactions
- Full
- Consistency model
- -
- Storage
- Native graph
- Distributed / scale
- Sharded
- Replication / HA
- ✓
- OLTP vs OLAP
- Both
- Deployment
- Managed
- Full-text search
- -
- Built-in vector search
- ✓
- Licence class
- Proprietary
- openCypher / TinkerPop standard
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (2)
Independently observed- Amazon Bedrock Knowledge Bases
- Strands AI Agents SDK
Amazon Neptune alternatives
Other graph databases we track, ranked by the same independent score.
- TigerGraphGraph Database for Real-Time AI & Analyticslow · 29%
- Neo4jThe knowledge layer that makes AI precise, trusted, and built to scalelow · 16%
- FalkorDBUltra-fast, Multi-tenant Graph Database Powering GenAIlow · 41%
- MemgraphHigh performance, in-memory, for real-timelow · 30%
- DgraphThe only open, complete graph database used at terabyte-scale to power real-time use caseslow · 27%
- JanusGraphDistributed, open source, massively scalable graph databaselow · 36%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Amazon Neptune, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 46 | 17.00 | 778.9 | ✓ |
| Pricing Transparency | 80 | 8.00 | 640.0 | ✓ |
| Reliability | 50 | 10.00 | 500.0 | ✓ |
| Integrations | 14 | 8.00 | 109.8 | ✓ |
| Price Level | 0 | 6.00 | 0.0 | - |
| Security Posture | 5 | 18.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"storage":"native","workload":"both","deployment":"managed","distributed":"sharded","graph_model":"property_graph","licence_class":"proprietary","vector_search":true,"replication_ha":true,"acid_transactions":"full"} | mediumsource · 2026-08-01 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-01 · 60% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-01 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-01 · 60% |