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    Cloudwrxs - SQLite on Red Hat Enterprise Linux (RHEL) 9.5

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    Sold by: Cloudwrxs 
    Deployed on AWS
    Cloudwrxs Solution with SQLite offers lightweight, serverless data management and analysis capabilities, ideal for embedded and standalone applications. Easily integrate structured data storage and querying into your workflows, enabling fast, reliable access to insights without the overhead of traditional database systems.

    Overview

    Cloudwrxs Solution provides a robust data management platform designed to address complex data challenges. Built to harness the power of AWS, Cloudwrxs Solution ensures end-to-end data integration, governance, and analysis. From data ingestion to real-time analytics, our solution accelerates business intelligence initiatives. With features like automated data quality checks, data lineage tracking, and insightful visualizations, Cloudwrxs Solution helps organizations achieve accurate and actionable insights. Partner with Cloudwrxs to streamline your data journey, enhance operational efficiency, and unlock the full potential of your data.

    Highlights

    • 1. Lightweight Data Management Seamlessly ingest, store, and process data in embedded or local environments using SQLite efficient, serverless engine. 2. Localized Analytics Perform fast, real-time analysis and generate insights directly on-device-ideal for mobile, desktop, and edge deployments.
    • 3. Embedded Data Governance Maintain data integrity with built-in validation, audit trails, and lightweight governance mechanisms. 4. Resource-Efficient Performance Enjoy high performance without heavy infrastructure, perfect for resource-constrained environments.
    • 5. Dedicated Support Leverage Cloudwrxs expertise in tailoring and optimizing SQLite-based Data360 deployments for your specific use case.

    Details

    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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    Pricing

    Cloudwrxs - SQLite on Red Hat Enterprise Linux (RHEL) 9.5

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    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.

    Usage costs (14)

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    Dimension
    Cost/hour
    m5.large
    Recommended
    $0.59
    t3.medium
    $0.59
    m5.xlarge
    $0.59
    r5.xlarge
    $0.59
    m6i.large
    $0.59
    r6i.xlarge
    $0.59
    t3.large
    $0.59
    t3.xlarge
    $0.59
    r6i.large
    $0.59
    m6i.xlarge
    $0.59

    AI Insights

     Info

    Dimensions summary

    You pay by the hour for a preconfigured SQLite image running on Red Hat Enterprise Linux 9.5. Pricing is organized by EC2 instance size, not by software tier. All 14 dimensions run the same image; they differ only in the compute instance you select. Choices span general-purpose (t3 and m5/m6i), compute-optimized (c5), and memory-optimized (r5/r6i) families. Larger instances cost more per hour because they provide more CPU and memory. You subscribe only for the time the instance runs. No long-term commitment applies, and no charge accrues when the image is stopped.

    Top-of-mind questions for buyers

    You get a preconfigured SQLite image on Red Hat Enterprise Linux 9.5, running on the EC2 instance size you pick. Each dimension maps to one running instance. The instance size sets your CPU and memory. All 14 dimensions deliver the same software; only the compute differs.
    You are charged only while the instance runs. When the image is stopped, no software charge accrues. There is no long-term commitment; you subscribe for the time you need. Underlying AWS storage or other resource fees may still apply while the instance is stopped.
    Cloudwrxs does not bill you directly; the cloud provider collects any payment. Where a license is required, Cloudwrxs states it in the product listing. Your hourly charge covers the running instance and the preconfigured image for the compute size you selected.
    cloudwrxs.com
    Helpful?

    Vendor refund policy

    You may terminate the instance at anytime to stop incurring charges.

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    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.

    Usage information

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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 SQLite Q1 2026

    Additional details

    Usage instructions

    Convert .pem to .ppk using PuTTYgen (if needed).

    Open PuTTY

    Host: ec2-user@<your-ec2-public-ip>

    SSH > Auth: Load your .ppk key

    Click Open to connect.

    Once logged in, run: sqlite3 --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 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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