Sold by: Cloudwrxs
Deployed on AWS
This product has charges associated with it for Cloudwrxs Solution with Neo4j on RHEL 8 provides a powerful, graph-based database platform designed for relationship-driven data management. Ideal for real-time analytics, connected data insights, and scalable graph processing, this solution integrates seamlessly into applications that require efficient querying of complex relationships. Built on RHEL 8 secure and enterprise-ready infrastructure, Neo4j enables fast, flexible graph analytics with minimal overhead, supporting applications like recommendation engines, fraud detection, and knowledge graphs. Whether handling vast interconnected datasets or integrating with modern web and mobile apps, Cloudwrxs with Neo4j on RHEL 8 accelerates your data-driven initiatives with high performance and reliability.
Overview
This is a repackaged open source software product wherein additional charges apply for Cloudwrxs Solution with Neo4j on RHEL 8 offers a high-performance, distributed graph database platform designed for scalability, flexibility, and deep data relationships. Built to support modern, data-intensive applications, Cloudwrxs leverages Neo4j to provide robust, graph-based data storage and querying, enabling businesses to extract actionable insights from complex, connected data. With features like real-time relationship analysis, connected data insights, and dynamic graph processing, Neo4j is ideal for applications in fraud detection, recommendation engines, knowledge graphs, and network analysis. Engineered for enterprise resilience, this solution ensures high availability, secure data governance, and seamless integration with cloud-native applications. Whether managing interconnected data, powering data-driven decision-making, or scaling to meet the demands of large datasets, Cloudwrxs with Neo4j on RHEL 8 accelerates digital transformation with confidence. Trust Cloudwrxs to optimize your infrastructure and deliver unmatched performance, scalability, and reliability for mission-critical graph workloads.
Highlights
- 1. Relationship-Driven Data Modeling Unlock powerful insights by capturing and analyzing complex data relationships using Neo4j native graph capabilities. 2. Real-Time Graph Analytics Drive smarter decisions with real-time pattern detection, recommendations, and connected data analysis.
- 3. Secure & Compliant Architecture Maintain data integrity and compliance with role-based access control, encryption, and robust governance tools. 4. Scalable Graph Performance Scale effortlessly across hybrid or on-prem environments with Neo4j high-performance, distributed architecture on RHEL 8.
- 5. Expert Graph Enablement Rely on Cloudwrxs deep expertise in deploying, managing, and optimizing Neo4j for mission-critical graph-based workloads.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 8
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.59 |
m6i.large | $0.59 |
t3.large | $0.59 |
m5.xlarge | $0.59 |
t3.medium | $0.59 |
c5.large | $0.59 |
c5.xlarge | $0.59 |
c5.2xlarge | $0.59 |
m6i.xlarge | $0.59 |
r5.large | $0.59 |
Dimensions summary
You pay by the hour for a preconfigured Neo4j image running on Red Hat Enterprise Linux 8. Pricing is set per EC2 instance type, so you pick the compute size that matches your workload. Options span general-purpose (t3, m5, m6i), compute-optimized (c5), and memory-optimized (r5, r6i) families in sizes from medium through 2xlarge. Larger instances carry more vCPU and memory, so hourly cost rises with capacity. There is no long-term commitment. You are charged only while the instance runs, and billing stops when it is off.
Top-of-mind questions for buyers
Each unit is one running instance of that specific EC2 type, preconfigured with Neo4j on Red Hat Enterprise Linux 8. The vCPU and memory come from the instance family and size you pick. You are billed per hour for each running instance, counted separately if you run several.
No software charge applies while the instance is stopped. Billing meters running time only, so charges stop when the instance is off. There is no long-term commitment; you subscribe only for the time you need. Underlying AWS storage may still apply while an instance is stopped.
Where a license is required, the vendor notes it in the product listing on the cloud provider's website. You pay the cloud provider directly, not the vendor. The hourly rate you see depends on the EC2 instance type you select, which sets its compute capacity.
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Vendor refund policy
You may terminate the instance at anytime to stop incurring charges.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Cloudwrxs Neo4j Q2 2026
Additional details
Usage instructions
- Launching the EC2 Instance 1.1. Navigate to the AWS EC2 Console - Launch Instance 1.2. Select the AMI: Red Hat Enterprise Linux 8 (x86_64) 1.3. Choose an instance type, e.g., t3.large or larger 1.4. Create or select an existing SSH Key Pair:
- Save the .pem private key securely
- This key will be used for SSH access 1.5. Configure the Security Group:
- Allow SSH (port 22) inbound access (preferably limited to your IP)
- Allow Neo4j ports: HTTP: 7474 HTTPS: 7473 Bolt: 7687 (Limit access by IP range for security) 1.6. Launch the instance
- Connecting to the EC2 Instance 2.1. Connection Prerequisites
- Have your SSH private key (.pem) file available
- Default login user: cloud-user
- Server settings: Password login is disabled (PasswordAuthentication no) Root login is disabled (PermitRootLogin no)
- SSH is available on port 22
2.2. For Linux/macOS Users (Terminal) ssh -i /path/to/your-key.pem cloud-user@<EC2_Public_IP>
- Replace /path/to/your-key.pem with your key path
- Replace <EC2_Public_IP> with your EC2 public IP
- Set correct permissions if needed: chmod 400 /path/to/your-key.pem
2.3. For Windows Users (Using PuTTY)
- Convert .pem to .ppk using PuTTYgen
- In PuTTY: Host Name: cloud-user@<EC2_Public_IP> Port: 22 Load your .ppk key under Connection - SSH - Auth
- Accessing Neo4j on RHEL 8 3.1. Verify Neo4j is running neo4j --version sudo systemctl status neo4j 3.2. Open Neo4j Web Interface Open a browser and navigate to: http://<EC2_Public_IP>:7474
3.4. Default login credentials for accessing Neo4j Web Interface: Username: neo4j Initial password: Cloudwrxs@123
Support
Vendor support
For more information or to request support, please contact us at: - marketplace@cloudwrxs.com - info@cloudwrxs.com Our team is available to provide tailored advice, support, and a personalized implementation plan for your business.
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.
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