Neo4j Community Edition Graph Database

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

## Neo4j Community Edition - Production-Ready Graph Database on AWS

Launch a fully configured Neo4j Community Edition graph database and start running Cypher queries in under five minutes. This AMI eliminates manual installation, credential hardening, and reverse-proxy configuration so development teams, data engineers, and small engineering groups without a dedicated DBA can focus on building connected-data applications rather than managing infrastructure.

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## Why Choose This AMI Over Alternatives

Unlike default Neo4j Docker images or unsupported community AMIs that ship with the well-known neo4j/neo4j credentials, this image generates a unique superuser password on every first boot and stores it in a root-only file. Competing images typically require manual post-launch hardening steps; here, the database is never exposed with default credentials. Combined with 24/7 expert support from cloudimg, buyers get a maintained, secure deployment path that self-managed installs cannot match.

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## Database Stack

• Neo4j Community Edition (5.x line) running as a systemd service in single-node mode on OpenJDK 21
• Bolt protocol on TCP7687 for driver and cypher-shell connections
• HTTP REST API and Neo4j Browser on TCP 7474
• nginx reverse proxy on TCP 80 fronting the Neo4j Browser with WebSocket upgrade headers forwarded for Bolt-over-WebSocket compatibility

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## Secure First Boot

On first launch a one-shot systemd service:

1. Generates a cryptographically random neo4j superuser password unique to the instance

2. Applies it via neo4j-admin set-initial-password while the database is stopped

3. Stores the plaintext value in /root/.neo4j_password (readable only by root)

No shared or default credentials ever exist on the running instance. This eliminates the most common misconfiguration vector that leads to unauthorized data access in graph database deployments.

Additional security guidance:

• Enable EBS encryption at rest when launching the instance to protect stored graph data
• Configure TLS termination at the nginx layer or use AWS Certificate Manager for encrypted Bolt and HTTP traffic in transit
• Restrict Security Group ingress on ports 80, 7474, and 7687 to trusted CIDR ranges or a VPC-internal subnet
• Consider placing the instance in a private subnet behind an Application Load Balancer for network isolation

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## Getting Started

1. Launch the AMI on a t3.medium or larger instance with at least 20 GB gp3 EBS storage

2. Configure your Security Group to allow inbound TCP on ports 80, 7474, and 7687 from your IP or VPC

3. SSH into the instance and retrieve the generated password: sudo cat /root/.neo4j_password

4. Open your browser to http:// to reach the Neo4j Browser

5. Connect using the username "neo4j" and the retrieved password

6. Run your first Cypher query: RETURN'Hello, Graph!' AS message

7. Alternatively, connect any Bolt-compatible driver to bolt://:7687

Health check: confirm the Neo4j service is active with systemctl status neo4j and verify HTTP200 on port 7474/browser.

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## Use Case Spotlight: Real-Time Fraud Detection

A fintech data team ingests transaction events as nodes and relationships into Neo4j, then runs graph traversal queries to surface suspicious transaction rings in real time. Analysts use the Neo4j Browser on port 80 to visually investigate flagged clusters, tracing multi-hop paths that traditional relational queries would miss. This pattern applies equally to anti-money-laundering, identity verification, and insurance claims analysis.

Additional use cases:

• Knowledge graphs and master data management
• Recommendation engines and personalisation
• Identity and access management graphs
• Network and IT dependency mapping
• Supply chain traceability and risk analysis

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## cloudimg Support

24/7 technical support by email and live chat with one-hour average response for critical issues. Our engineers assist with Neo4j deployment, upgrades, Cypher query tuning, indexing strategy, graph data modelling, and database administration.

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