AWS Data Pipeline vs AWS Storage Gateway

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AWS Data Pipeline vs AWS Storage Gateway: What are the differences?

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  1. Integration with Services: AWS Data Pipeline is a service that helps in orchestrating and automating the movement and transformation of data while AWS Storage Gateway is a service that connects an on-premises software appliance with cloud-based storage to provide seamless and secure integration. While Data Pipeline focuses on data processing activities, Storage Gateway primarily focuses on storage connectivity.

  2. Purpose: The main purpose of AWS Data Pipeline is to schedule and execute data-driven workflows while AWS Storage Gateway is designed to bridge the gap between on-premises storage systems and cloud storage, providing a seamless integration for data access and backup.

  3. Data Processing vs Storage Connectivity: AWS Data Pipeline is more suitable for organizations looking to perform data processing activities such as data movement, transformation, and analysis, whereas AWS Storage Gateway is better suited for organizations looking to connect their on-premises storage with cloud storage for backup, disaster recovery, and scalability.

  4. Data Transformation Capabilities: AWS Data Pipeline offers built-in data transformation activities such as data validation, formatting, and encryption, providing a comprehensive solution for data processing workflows. In comparison, AWS Storage Gateway focuses more on data transfer and storage protocols, with fewer built-in data transformation capabilities.

  5. Resource Management: AWS Data Pipeline allows users to manage computing resources to execute data processing tasks efficiently, optimizing costs and performance. On the other hand, AWS Storage Gateway provides a seamless extension of on-premises storage to the cloud, simplifying storage management and reducing storage costs.

  6. Scalability and Flexibility: AWS Data Pipeline offers scalability in terms of processing large volumes of data efficiently, while AWS Storage Gateway provides flexibility in terms of storage options and configurations, allowing organizations to choose the most suitable storage solutions for their needs.

In Summary, AWS Data Pipeline and AWS Storage Gateway serve different purposes within the AWS ecosystem, with Data Pipeline focusing on data processing workflows and Storage Gateway facilitating storage connectivity between on-premises and cloud environments.

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    What is AWS Data Pipeline?

    AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

    What is AWS Storage Gateway?

    The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage. Once the AWS Storage Gateway’s software appliance is installed on a local host, you can mount Storage Gateway volumes to your on-premises application servers as iSCSI devices, enabling a wide variety of systems and applications to make use of them. Data written to these volumes is maintained on your on-premises storage hardware while being asynchronously backed up to AWS, where it is stored in Amazon Glacier or in Amazon S3 in the form of Amazon EBS snapshots. Snapshots are encrypted to make sure that customers do not have to worry about encrypting sensitive data themselves. When customers need to retrieve data, they can restore snapshots locally, or create Amazon EBS volumes from snapshots for use with applications running in Amazon EC2. It provides low-latency performance by maintaining frequently accessed data on-premises while securely storing all of your data encrypted.

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    What companies use AWS Data Pipeline?
    What companies use AWS Storage Gateway?
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    What tools integrate with AWS Data Pipeline?
    What tools integrate with AWS Storage Gateway?
    What are some alternatives to AWS Data Pipeline and AWS Storage Gateway?
    AWS Glue
    A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    AWS Step Functions
    AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
    Apache NiFi
    An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
    AWS Batch
    It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
    See all alternatives