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    SQLalchemy on Ubuntu 26.04 with support by PCloudHosting

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. SQLAlchemy is a powerful Python SQL toolkit and Object Relational Mapper (ORM) that enables developers to interact with databases using Python objects and SQL expressions.

    Overview

    SQLAlchemy Overview

    SQLAlchemy is a powerful and flexible Python SQL toolkit and Object Relational Mapper (ORM) that provides developers with a comprehensive set of tools for working with relational databases. It enables applications to interact with databases using Python objects while also offering full control over SQL queries when needed. SQLAlchemy supports a wide range of database systems, including PostgreSQL, MySQL, MariaDB, SQLite, Oracle, and Microsoft SQL Server.

    The platform consists of two primary components: the SQL Expression Language and the ORM. The SQL Expression Language allows developers to construct database queries programmatically using Python syntax, while the ORM maps database tables to Python classes, simplifying database interactions and reducing the need for manual SQL coding. This dual-layer architecture provides both high-level productivity and low-level database control.

    SQLAlchemy is widely used in web applications, data processing pipelines, enterprise software, and cloud-native services. It integrates seamlessly with popular Python frameworks such as FastAPI, Flask, Pyramid, and Django-based projects. The library supports advanced database features including transactions, connection pooling, schema migrations, asynchronous database operations, and complex relationship management.

    With built-in support for modern Python development practices, SQLAlchemy helps developers create scalable, maintainable, and database-agnostic applications. Its extensive documentation, active community, and robust architecture have made it one of the most trusted database access libraries in the Python ecosystem.

    Key Features

    • Comprehensive Object Relational Mapping (ORM) for database abstraction.
    • Powerful SQL Expression Language for fine-grained query control.
    • Support for multiple relational database management systems.
    • Connection pooling and transaction management capabilities.
    • Asynchronous database access support for modern applications.
    • Schema reflection and metadata management tools.
    • Integration with leading Python web frameworks and development tools.
    • Scalable architecture suitable for both small projects and enterprise applications.

    Use Cases

    • Web application development.
    • REST API and microservices backends.
    • Enterprise database applications.
    • Data analytics and ETL pipelines.
    • Cloud-native and containerized services.
    • Database administration and automation tools.

    Highlights

    • Powerful ORM and SQL Expression Language for database development.
    • Supports multiple database backends including PostgreSQL, MySQL, SQLite, Oracle, and SQL Server.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 26.04

    Deployed on AWS
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    Pricing

    SQLalchemy on Ubuntu 26.04 with support by PCloudHosting

     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 (21)

     Info
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.03
    t3.micro
    $0.03
    t2.micro
    $0.01
    m5.large
    $0.03
    t2.small
    $0.03
    r5.large
    $0.03
    m3.large
    $0.03
    t2.xlarge
    $0.03
    m3.medium
    $0.03
    c3.large
    $0.03

    Vendor refund policy

    No Refund

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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

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    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

    Packaged with latest updates as of June/2026

    Additional details

    Usage instructions

    Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  - Run the following commands: #python3 -c "import sqlalchemy; print(sqlalchemy.version)"

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com  Website:

    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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