Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. Neo4j Community Edition 5.26, built on a minimal Amazon Linux 2023 installation, is included in this AMI, repackaged by Easycloud. It provides a fully configured, high-performance graph database environment, deliberately engineered with a strict focus on security automation and out-of-the-box usability to eliminate manual setup and deliver production-ready Neo4j from the moment the instance launches.
Core Features & Integrations
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Amazon Linux 2023 Foundation: Provides a highly optimized, cloud-native underlying OS with familiar RPM ecosystem paradigms, ensuring high security, AWS-native performance, and seamless operational interoperability for users transitioning from RHEL, AlmaLinux, Rocky Linux, and traditional CentOS deployments.
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Optimized Java Runtime: Includes Amazon Corretto Java 17, the AWS-optimized JDK, strictly required for running Neo4j 5.x efficiently.
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Optimized Memory Allocation: Key memory parameters, including heap size and page cache, are pre-configured to efficiently utilize the EC2 instance's RAM, preventing out-of-memory errors during complex Cypher queries.
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Production-Ready Database Tuning: Built for enterprise workloads, the default parameters have been adjusted for optimal connection handling, transaction management, and robust high-concurrency performance.
Key Benefits
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The Ideal Native Graph Database and Relationship Intelligence Foundation: By starting with a bloat-free Amazon Linux 2023, maximum CPU and memory are dedicated entirely to the Neo4j 5.x graph engine, its Cypher query planner, and optimized heap and page cache layers. This makes it the perfect, conflict-free foundation for graph-native workloads including knowledge graphs, recommendation engines, and fraud detection networks, with full support for polyglot application stacks powered by Python, Node.js, Django, Spring Boot, OpenJDK, and Amazon Corretto. It pairs naturally with complementary data stores (Redis, MongoDB, ClickHouse) for multi-model architectures, and integrates seamlessly into AI-driven graph workflows leveraging Apache Spark for large-scale graph analytics, MLflow for experiment tracking, and vector stores such as Milvus and Chroma for hybrid graph-vector retrieval patterns used in modern RAG and LLM pipelines with Ollama. Full-stack observability via Grafana, Prometheus, and Elasticsearch connects natively, while Apache Kafka powers real-time event streaming and graph data ingestion, and Go-based microservices integrate directly through the Neo4j Bolt protocol, ensuring your graph infrastructure delivers relationship intelligence at any scale.
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Production Ready & Expert Support: Secured with the latest OS patches. It delivers a highly stable environment, fully supported by comprehensive documentation and fast technical assistance (guaranteed 24-hour response time) to ensure your infrastructure runs smoothly without costly downtime.
Highlights
- Neo4j, professionally deployed following best practices
- Amazon Linux 2023, updated to the latest version.
- Neo4j on this AMI is backed by our experts, comprehensive docs, and fast support.
Details
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Features and programs
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Pricing
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Dimension | Cost/hour |
|---|---|
c5.large Recommended | $0.12 |
t3.micro | $0.04 |
t2.micro | $0.04 |
m8id.2xlarge | $0.19 |
hpc7a.12xlarge | $0.68 |
r6in.16xlarge | $0.68 |
r7i.4xlarge | $0.29 |
r5ad.24xlarge | $0.68 |
x8i.16xlarge | $0.68 |
m5n.2xlarge | $0.19 |
Vendor refund policy
No refunds. Cancel anytime.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Update to the latest version
Additional details
Usage instructions
Connection Methods:
Access the instance via SSH using the 'ec2-user' user.Use 'sudo' to run commands requiring root privileges. To switch to the root user, use 'sudo su - root'.
Install Information:
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OS: Amazon Linux 2023
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Neo4j Edition: Community Edition 5.2
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Java: Amazon Corretto 17 (AWS-optimized OpenJDK 17)
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Config File: '/etc/neo4j/neo4j.conf'
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Data Directory: '/var/lib/neo4j/data'
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Log Directory: '/var/log/neo4j/'
Usage Instructions
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Launch Cypher Shell: Run the cypher-shell command using 'neo4j' as the username and your AWS Instance ID as the password: 'cypher-shell -u neo4j -p YOUR_AWS_Instance ID' (For example:cypher-shell -u neo4j -p i-012345678901234567)
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Manage Service: Use 'sudo systemctl start/stop/restart/status neo4j' to control the database service.
Firewall Configuration
- SSH (Port 22): Required for initial system access.
- Neo4j Web UI (Port 7474): Required for HTTP access to the Neo4j Browser.
- Neo4j Bolt (Port 7687): Required for application drivers and code connections.
- Security Recommendation: For production environments, strictly limit access to these ports to trusted IP addresses only via AWS Security Groups.
Resources
Vendor resources
Support
Vendor support
Should you encounter any issues while using the system, please do not hesitate to contact us via email at: support@easyclouds.io ,Thank you!
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.