Sold by: CLOUDWRXSÂ
Deployed on AWS
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
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 |
|---|---|
t3.large Recommended | $0.59 |
m5.2xlarge | $0.59 |
t3.medium | $0.59 |
r5.4xlarge | $0.59 |
i3.2xlarge | $0.59 |
m5.xlarge | $0.59 |
i3.4xlarge | $0.59 |
r5.2xlarge | $0.59 |
Vendor refund policy
You may terminate the instance at anytime to stop incurring charges.
Legal
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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
Cloudwrxs Neo4j Q1 2025
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:
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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