How to Cancel AWS Glue - Subscribed.FYI
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AWS Glue
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    • AWS Glue

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    AWS Glue is a serverless data integration service that simplifies discovering, preparing, and integrating data for analytics, machine learning, and application development. It supports 70+ data sources and offers a centralized catalog with tools for building, monitoring, and scaling ETL pipelines. With cost-effective, scalable solutions, AWS Glue enables businesses to manage workflows efficiently while ensuring data quality and accessibility.

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    How to Cancel AWS Glue

    To fully cancel the use of AWS Glue and avoid any charges, follow these steps:

    1. Delete AWS Glue Resources:

      • Log in to the AWS Management Console and navigate to the AWS Glue console.
      • Delete all AWS Glue jobs, workflows, crawlers, databases, and triggers. This ensures no resources are consuming AWS services.

    2. Manage Connectors and Connections:

      • Go to the AWS Glue Studio console and navigate to the Connectors page.
      • Delete all connectors and connections. This step also removes any associated jobs that use these connections.

    3. Check for Charges:

      • Use the AWS Cost Explorer to verify that there are no charges related to AWS Glue. Set the date range, granularity to daily, and service to Glue.

    4. Cancel AWS Marketplace Subscriptions:

      • If you have subscribed to any connectors through AWS Marketplace, sign in to the AWS Marketplace console.
      • Navigate to Manage subscriptions, find the connector subscription you want to cancel, and choose Cancel subscription.

    5. Verify No Active Resources:

      • Ensure that no active AWS Glue resources remain in your account. If you see any charges, revisit the steps above to ensure all resources are deleted.

    By following these steps, you can effectively stop using AWS Glue and avoid any unnecessary costs. Note that AWS Glue itself cannot be deactivated as a service; you simply need to ensure no resources are actively using it.

    Other Alternatives

    Fivetran is a data integration platform that offers fully managed pipelines, automatic adjustments, and agile analytics for analysts, data engineers, business leaders, and IT teams, providing a reliable and user-friendly solution for data-driven decision-making.

    Snowflake is a cloud-based data platform designed to unify data storage, processing, and analytics across multiple clouds. It enables seamless data integration, high-performance analytics, and scalable solutions for diverse workloads, supported by a secure, fully managed framework. With its unique architecture separating compute and storage, Snowflake delivers flexibility, simplicity, and cost-efficiency for businesses of all sizes.

    Apache Spark is an open-source unified analytics engine designed for large-scale data processing. It combines fast in-memory computation with seamless integration across programming languages like Python, Java, and Scala, supporting both batch and real-time processing. With advanced machine learning capabilities and broad compatibility, it is ideal for transforming, analyzing, and optimizing big data workflows efficiently.

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