Sold by: Cloudwrxs
Deployed on AWS
Cloudwrxs Solution with Neo4j on SUSE SLES 15 delivers powerful graph-based data management, perfect for connected data, relationship-driven insights, and real-time analytics. Seamlessly integrate knowledge graph capabilities into your workflows, enabling intelligent querying and discovery without the limitations of traditional relational databases.
Overview
Cloudwrxs Solution with Neo4j on SUSE SLES 15 delivers a robust, enterprise-grade graph data platform engineered for deep relationship analytics, intelligent data modeling, and real-time insight generation. Tailored for modern, data-driven organizations, Cloudwrxs leverages Neo4j to uncover hidden patterns, enable dynamic knowledge graphs, and support connected data applications with precision and performance. Built on SUSE Linux 15s secure and scalable foundation, this solution ensures high availability, seamless integration, and optimized graph query performance. Whether you are powering fraud detection, supply chain intelligence, recommendation engines, or knowledge discovery, Cloudwrxs with Neo4j on SUSE helps you harness the full potential of graph technology. Accelerate innovation, strengthen data governance, and drive smarter decision-making across your enterprise with a solution designed for scale, reliability, and real-time relationships. Trust Cloudwrxs to deliver graph-powered insights that move your business forward-fast.
Highlights
- 1. Connected Data Management Model and manage complex relationships with Neo4j native graph database on SUSE Linux 15. 2. Real-Time Relationship Analytics Gain instant insights from connected data with real-time graph querying and analysis.
- 3. Data Governance & Security Ensure data integrity and compliance with SUSE hardened security features and fine-grained access control in Neo4j. 4. Scalability & High Availability Scale graph workloads efficiently with cluster support and SUSE enterprise-grade reliability.
- 5. Expert Support Rely on Cloudwrxs experience in deploying, optimizing, and managing Neo4j solutions tailored to enterprise needs.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Suse SLES 15
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 | $0.69 |
t3.medium | $0.69 |
m6i.large | $0.69 |
t3.large | $0.69 |
m5.xlarge | $0.69 |
m6i.xlarge | $0.69 |
r5.large | $0.69 |
t3.xlarge | $0.69 |
r6i.large | $0.69 |
c5.large | $0.69 |
Dimensions summary
You pay by the hour for a preconfigured Neo4j image running on SUSE SLES 15. Pricing follows the EC2 instance size you pick, so cost scales with compute power. Options span general-purpose types (t3.medium, t3.large, t3.xlarge, m5.large, m5.xlarge, m6i.large, m6i.xlarge), compute-optimized types (c5.large, c5.xlarge, c5.2xlarge), and memory-optimized types (r5.large, r6i.large). Larger or more specialized instances carry a higher hourly rate. You pay only while the image runs, with no long-term commitment. The cloud provider collects any charges, and license terms appear in the listing.
Top-of-mind questions for buyers
Each instance type maps to a set amount of compute and memory. General-purpose types (t3, m5, m6i) balance both. Compute-optimized types (c5) favor processing power. Memory-optimized types (r5, r6i) hold more data in memory. You pick the type that fits your graph size and query load.
You pay the hourly software rate only while the image runs. If the image isn't running, there is no software charge. Stopped instances may still incur underlying AWS storage fees, but the hourly software charge meters running time only.
You do not pay Cloudwrxs directly. The cloud provider collects any charges. Where a license is required, Cloudwrxs notes it in the product listing on the cloud provider's website. Check the listing to confirm license terms for your chosen instance.
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Vendor refund policy
You may terminate the instance at anytime to stop incurring charges.
Legal
Vendor terms and conditions
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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: SUSE Linux Enterprise Server 15 (x86_64). 1.3. Choose an instance type, e.g., m6i.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 4.2. Open a browser and navigate to: http://<EC2_Public_IP>:7474 4.3. The default username is neo4j and password is cloudwrxs@123
Support
Vendor support
For more information or to request support, please contact us at: - 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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