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Apache Beam vs. AWS Data Pipeline

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Beam

    N/AN/AApache Beam is an open-source, unified programming model for batch and streaming data processing pipelines that simplifies large-scale data processing dynamics. Apache Beam unifies multiple data processing engines and SDKs around its distinctive Beam model. This offers a way to create a large-scale common data infrastructure across different applications that consume the data.

    $0

    AWS Data Pipeline

    Score9.2 out of 10
    N/AAWS Data Pipeline is a web service used to process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, users can regularly access data where it’s stored, transform and process it at scale, and transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline is designed to help create complex data processing workloads that are fault tolerant,…N/A
    Pricing
    Apache BeamAWS Data Pipeline
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Apache BeamAWS Data Pipeline
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    User Ratings
    Apache BeamAWS Data Pipeline
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Apache BeamAWS Data Pipeline
    Likelihood to Recommend
    Apache
    No answers on this topic
    Amazon AWS
    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
    Incentivized
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    Pros
    Apache
    No answers on this topic
    Amazon AWS
    • Helps you easily create complex data processing workloads
    • Fault tolerant
    • Highly available
    Incentivized
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    Cons
    Apache
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    Amazon AWS
    • Pipeline Stuck in Pending Status
    • Pipeline Component Stuck in Waiting for Runner Status
    • EMR Cluster Fails With Error
    Incentivized
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    Alternatives Considered
    Apache
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    Amazon AWS
    AWS data pipelines are easy to use over data factory for data engineers
    Incentivized
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    Return on Investment
    Apache
    No answers on this topic
    Amazon AWS
    • Easy to use
    • Data engineers are able to create the data pipelines quickly and effectively
    • Scalable and Fault tolerant
    Incentivized
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