AWS Data Pipeline vs AWS Snowball Edge vs Google BigQuery Data Transfer Service

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AWS Data Pipeline

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AWS Snowball Edge

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Google BigQuery Data Transfer Service

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Pros of AWS Data Pipeline
Pros of AWS Snowball Edge
Pros of Google BigQuery Data Transfer Service
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    Easy to create DAG and execute it
  • 1
    SBManager™ is the only commercially available GUI for t
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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 Snowball Edge?

    AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

    What is Google BigQuery Data Transfer Service?

    BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.

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    What companies use AWS Data Pipeline?
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    What companies use Google BigQuery Data Transfer Service?

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    What tools integrate with AWS Data Pipeline?
    What tools integrate with AWS Snowball Edge?
    What tools integrate with Google BigQuery Data Transfer Service?
    What are some alternatives to AWS Data Pipeline, AWS Snowball Edge, and Google BigQuery Data Transfer Service?
    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
    Interest over time
    How much does AWS Data Pipeline cost?
    How much does AWS Snowball Edge cost?
    How much does Google BigQuery Data Transfer Service cost?
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