Sold by: CLOUDWRXSÂ
Deployed on AWS
Cloudwrxs Solution with Neo4j delivers powerful, graph-based data management and analysis capabilities, ideal for connected data applications. Easily model complex relationships and query with speed and precision, enabling deep insights into networks, hierarchies, and dependencies all without the complexity of traditional relational systems.
Overview
Cloudwrxs Solution with Neo4j empowers organizations to solve complex data challenges through advanced graph-based data modeling and analysis. Built to run seamlessly on AWS, our platform integrates Neo4j to enable end-to-end relationship-driven data integration, governance, and analytics. From graph-based data ingestion to real-time query performance, the solution helps uncover hidden patterns, relationships, and dependencies that drive smarter business decisions. Equipped with features like data lineage tracking, automated quality validation, and intuitive graph visualizations, Cloudwrxs Solution with Neo4j provides a dynamic and insightful approach to managing connected data. Partner with Cloudwrxs to harness the power of graph technology, elevate operational intelligence, and unlock new dimensions of value from your data ecosystem.
Highlights
- 1. Graph-Centric Data Management Model, ingest, and manage complex, connected data using Neo4j powerful graph technology. 2. Real-Time Relationship Analytics Discover hidden patterns and drive intelligent decisions with real-time graph analytics and visualization.
- 3. Data Governance & Integrity Ensure data trust with lineage tracking, quality validation, and secure access controls across your graph data. 4. Scalability & High Availability Achieve high performance and horizontal scalability using Neo4j on AWS for distributed, resilient graph deployments.
- 5. Expert Graph Support Leverage Cloudwrxs deep expertise in deploying, optimizing, and scaling graph-based solutions with Neo4j.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 9.5
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 |
r6i.2xlarge | $0.59 |
r6i.xlarge | $0.59 |
t3.medium | $0.59 |
m6i.xlarge | $0.59 |
m6i.large | $0.59 |
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)Â .
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 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 9.5 (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 Browser & Bolt (ports 7474, 7473, 7687) as needed (limit by IP range for security). 1.6. Launch the instance.
- Connecting to the EC2 Instance 2.1. Connection Prerequisites
- Ensure you have your SSH private key (.pem) file available.
- You must log in to the server using the default user: ec2-user.
- The server is configured for key-based authentication only: Password login is disabled (PasswordAuthentication no). Root login is disabled (PermitRootLogin no).
- SSH is available on the default port 22. 2.2. For Linux/macOS Users (Terminal)
- Connect using the following SSH command: ssh -i /path/to/your-key.pem ec2-user@<EC2_Public_IP>
- Replace /path/to/your-key.pem with the correct path to your SSH key.
- Replace <EC2_Public_IP> with your instance's public IP address.
- Set correct permissions if necessary: chmod 400 /path/to/your-key.pem 2.3. For Windows Users (Using PuTTY)
- Convert the .pem file to .ppk format using PuTTYgen.
- In PuTTY: Host Name: ec2-user@<EC2_Public_IP> Port: 22 Load your .ppk private key under Connection - SSH - Auth
- Accessing the Neo4j Web Interface 3.1. Once logged in, run: neo4j --version sudo systemctl status neo4j 3.2. Open a browser and navigate to: http://<EC2_Public_IP>:7474 3.3. The default username is neo4j and password is 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 Data360 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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