Sold by: Cloudwrxs
Deployed on AWS
This product has charges associated with it for Cloudwrxs Solution with MongoDB provides flexible, document-based data management and real-time analytics ideal for modern applications. Easily integrate scalable, schema-less storage into your workflows, enabling agile development without traditional database constraints.
Overview
This is a repackaged open source software product wherein additional charges apply for Cloudwrxs Solution with MongoDB delivers a powerful, flexible data management platform tailored for todays complex, fast-paced digital environments. Designed to leverage the scalability of AWS, Cloudwrxs Solution with MongoDB supports end-to-end document-based data integration, governance, and analysis. From ingesting unstructured or semi-structured data to enabling real-time analytics, the platform empowers organizations to drive smarter business decisions. With native support for JSON-like documents, horizontal scalability, and high availability, MongoDB simplifies modern application development. Features like automated data quality checks, version control, and performance optimization tools further ensure reliable and actionable insights. Partner with Cloudwrxs to modernize your data architecture, enhance operational agility, and unlock deeper value from your data.
Highlights
- 1. Flexible Data Management Manage diverse, unstructured, and semi-structured data using MongoDB document-based architecture. 2. Real-Time Analytics Deliver insights instantly with native support for real-time data processing and visualization.
- 3. Data Governance & Quality Maintain data integrity with built-in validation, indexing, and automated quality checks. 4. Scalability & Performance Achieve high availability and seamless scaling with sharding and replica sets on AWS.
- 5. Expert Support Leverage Cloudwrxs MongoDB expertise for setup, performance tuning, and end-to-end solution optimization.
Details
Sold by
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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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 |
|---|---|
m5.large Recommended | $0.69 |
c5.large | $0.69 |
c5.xlarge | $0.69 |
c5.2xlarge | $0.69 |
t3.xlarge | $0.69 |
r6i.large | $0.69 |
r5.large | $0.69 |
m6i.xlarge | $0.69 |
t3.large | $0.69 |
m6i.large | $0.69 |
Dimensions summary
You pay by the hour for MongoDB running on SUSE SLES 15, with the rate set by the EC2 instance size you pick. The 12 options span compute-focused (c5), general-purpose (m5, m6i, t3), and memory-focused (r5, r6i) families across large, xlarge, and 2xlarge sizes. Larger instances carry more CPU and memory, so hourly cost rises with size. You are charged only while an instance runs, with no long-term commitment. Any required software license is noted on the listing. Choose the instance that matches your workload's compute and memory needs.
Top-of-mind questions for buyers
Each option is a single EC2 instance running MongoDB on SUSE SLES 15, sized by family and capacity. You pay one hourly rate per running instance. Compute (c5), general-purpose (m5, m6i, t3), and memory (r5, r6i) families set the CPU and memory you receive per instance-hour.
No. You only subscribe for the time the image runs. If the image is not running, there is no software charge. Note that underlying AWS storage tied to a stopped instance may still incur separate AWS fees. There is no long-term commitment.
You do not pay Cloudwrxs directly; any payment is collected through AWS. Where a license is required, Cloudwrxs notes it in the product listing. Otherwise, your hourly rate covers the running instance image on SUSE SLES 15.
cloudwrxs.com
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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 MongoDB Q2 2026
Additional details
Usage instructions
- Convert .pem to .ppk using PuTTYgen (if needed)
Open PuTTYgen
Load your .pem file
Click "Save private key" to generate a .ppk
- Open PuTTY
Host: ec2-user@<your-ec2-public-ip>
Port: 22
Connection Type: SSH
- Load your .ppk key
Go to: Connection > SSH > Auth
Under "Private key file for authentication", load your .ppk file
-
Click "Open" to connect
-
Once logged in, run: mongod --version
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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