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    SQL 2017 Enterprise on Windows 2019 License

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    Sold by: Gigabits 
    Deployed on AWS
    AWS Free Tier
    Gigabits software hosted on Windows Server provides intelligent, reliable, and flexible digital AI enabled tools to take on a huge range of tedious tasks. Easy to build on top of and manage, you can launch your entire software workforce to quickly deliver efficiencies, higher performance, and high ROI. From AI agents to data, API calls or communications, ensure you maximize for your benefit.

    Overview

    SQL Server 2017 Enterprise on AWS EC2: Empower Your Data-Driven Applications

    Experience the power of SQL Server 2017 Enterprise, a robust, scalable, and feature-rich relational database management system designed to meet the demands of mission-critical applications. With advanced analytics, in-memory performance, and cutting-edge security, this solution is ideal for businesses looking to elevate their database capabilities.


    Key Features

    1. Advanced Analytics

    • Integrated R and Python Support: Perform predictive analytics directly within the database to build intelligent applications.
    • Data Science Integration: Empower data scientists and developers to unlock actionable insights without leaving the SQL Server environment.

    2. High Availability

    • Always On Availability Groups: Achieve maximum uptime with up to 8 secondary replicas for load balancing, disaster recovery, and seamless failovers.

    3. Unparalleled Security

    • Always Encrypted: Protect sensitive data at rest and in transit.
    • Dynamic Data Masking & Row-Level Security: Enforce data access policies for better compliance and control.

    4. Exceptional Performance and Scalability

    • In-Memory Capabilities: Accelerate transaction processing and analytics with in-memory technologies.
    • Large Dataset Handling: Efficiently manage high workloads with optimized query performance and robust resource allocation.

    5. Integration Services

    • SQL Server Integration Services (SSIS): Simplify ETL processes by connecting and transforming data from diverse sources.

    Benefits

    Cost-Effective

    • Reduce capital expenses with advanced features that minimize hardware requirements and ongoing maintenance costs.

    Flexibility

    • Deploy across on-premises, virtual machines, or cloud environments, adapting seamlessly to diverse IT architectures.

    Streamlined Administration

    • Leverage automated updates and enhanced monitoring tools to simplify database management, freeing teams to focus on strategic initiatives.

    Use Cases

    1. Data Warehousing

    • Build and manage scalable data warehouses for business intelligence, enabling complex queries and large-scale analytics.

    2. E-commerce Platforms

    • Reliably support high transaction volumes while ensuring the security and integrity of customer data.

    3. Enterprise Business Applications

    • Power CRM, ERP, and other business-critical applications requiring robust performance and seamless reliability.

    Why Choose SQL Server 2017 Enterprise on AWS EC2?

    By deploying SQL Server 2017 Enterprise on AWS EC2, you combine enterprise-grade database features with the scalability and flexibility of the cloud. Optimize performance, ensure availability, and simplify operations, all while leveraging AWS's global infrastructure and pay-as-you-go model.


    Highlights

    • Windows Server 2022 SQL 2017 Express combines the robust features of Windows Server with the lightweight SQL Server Express edition, making it ideal for small to medium-sized applications. This AMI allows developers to deploy databases in a familiar environment, ensuring seamless integration with existing Windows infrastructure. The express edition provides basic capabilities for development, testing, and limited production workloads.
    • With built-in security enhancements and support for modern workloads, Windows Server 2022 delivers optimal performance while SQL 2017 Express offers a manageable database platform. Features like advanced data analytics and JSON support facilitate efficient data manipulation, while developers can leverage Microsoft's extensive documentation and community support for troubleshooting and optimization. This setup is perfect for businesses looking for scalability without extensive overhead.
    • Potential use cases include web applications, small business management tools, and educational projects requiring a database backend. The scalability of SQL 2017 Express enables users to start small and easily transition to more powerful SQL Server editions as their needs grow. Additionally, this AMI provides a cost-effective way to utilize Microsoft technologies on the cloud, ensuring high availability and reliability for critical applications.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Win 2019

    Deployed on AWS
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    Pricing

    SQL 2017 Enterprise on Windows 2019 License

     Info
    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.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (613)

     Info
    • ...
    Dimension
    Cost/hour
    t2.xlarge
    Recommended
    $0.28
    t2.micro
    $0.20
    t3.micro
    $0.10
    t3.xlarge
    $0.27
    t2.2xlarge
    $0.55
    m5.xlarge
    $0.26
    m5.metal
    $3.35
    m5a.24xlarge
    $4.47
    m5ad.24xlarge
    $4.47
    m5d.24xlarge
    $4.47

    AI Insights

     Info

    Dimensions summary

    You pay by the hour for this pre-configured image, which bundles the software license with a Windows server. Pricing has one dimension: the AWS EC2 instance type you choose. Each listed instance charges its own hourly rate. Rates scale with the compute resources behind each type. Smaller instances like nano, micro, and large sizes cost less per hour. Larger sizes such as 24xlarge, 48xlarge, and bare-metal options cost more. Instance families (general purpose, compute, memory, storage, and accelerated) target different workloads. You are billed only for the hours each instance runs, and you can switch types anytime.

    Top-of-mind questions for buyers

    The hourly rate bundles the software license and Windows server with the compute resources of the EC2 instance you pick. One "unit" is one running instance for one hour. You pay for each instance-hour it runs, no matter how you use the database inside it.
    The software license meters running hours only. A fully stopped instance stops accruing this hourly charge. You may still pay separate AWS storage fees for the attached disk while stopped, but those come from AWS, not from this listing's software rate.
    You can switch instance types anytime. Your rate changes to that type's hourly price starting when the new instance runs. Larger sizes carry more compute and a higher hourly rate. You are not locked in, so you can move up or down as workloads change.
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    Helpful?

    Vendor refund policy

    No refunds, instance can be terminated at any time.

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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

     Info

    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

    new security updates

    Additional details

    Usage instructions

    To confirm SQL, follow the instructions in this guide: https://gigabits-logos.s3.us-east-1.amazonaws.com/SQL-verfication.pdf 

    Below is a step-by-step process on using SQL Server with Windows on AWS.

    1. Getting Started with Windows on AWS

    You can learn more about Windows usage on AWS through this AWS Windows page . This page contains resources on deploying Windows-based EC2 instances, licensing options, and using Microsoft services on AWS.

    2. Logging in as Administrator

    To log in to your AWS Windows instance as an Administrator, follow these steps:

    • Go to the AWS Support Knowledge Center  to retrieve the Administrator password.
    • Use the private key (.pem) file you generated when you created your EC2 instance to decrypt the Administrator password.
    • After obtaining the password, you can use it to log in to your Windows instance through Remote Desktop (RDP).

    3. Launch SQL Server

    • To open SQL Server, go to the Start Menu and search for SQL Server, then select SQL Server 2017 Configuration Manager. SQL Server 2017 will be launched.
    • Start using SQL Server for your needs.

    Support

    Vendor support

    please contact support@gigabitscloud.com  for any inquiries

    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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