Neo4j Graph Database
Graph databases
Database management systems (DBMS)
Database as a service (DBaaS) providers
Database software
Serial number database software
SQL query builder tools
AI knowledge graph tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$65 per GB per month
Free TrialFree version
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- Information technology and software
- Media and communications
- Professional services (engineering, legal, consulting, etc.)
What is Neo4j Graph Database
Neo4j Graph Database is a native graph database management system designed to store and query highly connected data using nodes, relationships, and properties. It is used by application developers, data engineers, and data scientists for use cases such as fraud detection, recommendations, network/IT topology, identity and access graphs, and knowledge graphs. Neo4j supports the Cypher query language and provides transactional processing with options for clustering and high availability. It is available as self-managed software and as a managed cloud service (Neo4j Aura).
Native property graph model
Neo4j uses a native property graph storage and processing model, which fits workloads where relationships are first-class data. This reduces the need for join-heavy modeling common in relational systems when traversals are central to the application. It supports labeled nodes, typed relationships, and properties, which map well to many operational graph use cases. The model is widely adopted in graph-focused application development.
Cypher query language ecosystem
Neo4j’s primary query interface is Cypher, a declarative graph query language optimized for pattern matching and traversals. Cypher is supported across Neo4j tooling and drivers, enabling consistent query development from local environments to production deployments. The language and tooling lower the barrier for teams that need expressive graph queries without building custom traversal code. This is a practical differentiator versus multi-model databases where graph querying can be secondary.
Multiple deployment options
Neo4j supports self-managed deployments and a managed DBaaS offering (Neo4j Aura), which can reduce operational overhead for teams that prefer a hosted service. For self-managed use, Neo4j provides clustering and replication options to support availability requirements. The product has mature client drivers and integrations that help teams embed graph capabilities into applications. These options allow organizations to align deployment with security, compliance, and operational constraints.
Not a general-purpose DBMS
Neo4j is optimized for graph workloads, but it is not always the best fit for simple key-value access patterns, wide-column analytics, or document-centric modeling. Organizations may still need additional data stores for non-graph workloads, increasing architectural complexity. For teams expecting one database to cover many models equally well, a graph-specialized system can require clearer workload boundaries. This can affect total cost and operational footprint.
Scaling requires careful design
Graph workloads can be sensitive to data modeling choices, index strategy, and query patterns, especially for deep traversals or high-degree nodes. Achieving predictable performance at large scale often requires tuning and query profiling rather than relying on default configurations. Distributed scaling for graph traversals is generally more complex than scaling stateless services or simple key-value workloads. Teams should plan for performance testing and operational expertise.
Licensing and feature packaging
Neo4j offers both open-source and commercial editions, and some enterprise capabilities are packaged in paid tiers. This can create planning work to align required features (for example, certain security, clustering, or operational capabilities) with the appropriate license. Organizations with strict open-source-only policies may find edition differences limiting. Procurement and compliance teams may need to review licensing terms carefully.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| AuraDB Free | $0 (Forever) | Always-free managed cloud DB for learning/prototyping; no credit card; includes Neo4j Bloom (basic), Aura Console, auto-pause, core functionality; single-zone; no SLA. |
| AuraDB Professional | $65/GB/month (minimum 1GB cluster) | Production-ready managed DB; capacity-based pricing (GB-hours); hourly and monthly metering; up to 128GB per DB; 14-day free trial available; daily backups (7-day retention); available on AWS/Azure/GCP. |
| AuraDB Business Critical | $146/GB/month (minimum 2GB cluster) | Enterprise-grade managed DB with multi-zone HA, 99.95% SLA, hourly point-in-time restore, daily backups (30-day retention), up to 512GB per DB, 24x7 support; pay-as-you-go and prepaid billing options. |
| AuraDB Virtual Dedicated Cloud | Contact Sales | Dedicated environment with VPC isolation and dedicated infrastructure; contact Neo4j for pricing. |
| Community Edition (self-managed) | $0 (GPLv3) | Free, community-supported, developer use; lacks HA and enterprise features. |
| Enterprise Edition (self-managed) | Contact Sales | Commercial license with enterprise features (HA, fine-grained access control, scale-out); contact Neo4j sales for pricing. |
Seller details
Neo4j, Inc.
San Mateo, California, USA
2007
Private
https://neo4j.com/
https://x.com/neo4j
https://www.linkedin.com/company/neo4j/
