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Amazon Kinesis vs Google Cloud Dataflow comparison

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8,875 views|6,886 comparisons
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4,278 views|3,927 comparisons
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Buyer's Guide
Streaming Analytics
June 2022
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
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Pricing and Cost Advice
  • "Under $1,000 per month."
  • "The solution's pricing is fair."
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    Questions from the Community
    Top Answer:The solution's pricing is fair. The trick lies in Amazon's pricing. They charge according to the different layers of or types of data that is transfered.
    Top Answer:Amazon Kinesis is not a bad product, but Azure Event Hub provides us with certain operational advantages, as our focus is on Microsoft related coding. This is why .NET is what we use at the backend… more »
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    Ranking
    2nd
    out of 38 in Streaming Analytics
    Views
    8,875
    Comparisons
    6,886
    Reviews
    10
    Average Words per Review
    1,158
    Rating
    8.4
    11th
    out of 38 in Streaming Analytics
    Views
    4,278
    Comparisons
    3,927
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon AWS Kinesis, AWS Kinesis, Kinesis
    Google Dataflow
    Learn More
    Overview

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

    Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
    Offer
    Learn more about Amazon Kinesis
    Learn more about Google Cloud Dataflow
    Sample Customers
    Zillow, Netflix, Sonos
    Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company22%
    Media Company16%
    Comms Service Provider16%
    Financial Services Firm9%
    VISITORS READING REVIEWS
    Comms Service Provider20%
    Computer Software Company19%
    Financial Services Firm11%
    Retailer9%
    Company Size
    REVIEWERS
    Small Business50%
    Midsize Enterprise38%
    Large Enterprise13%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise15%
    Large Enterprise69%
    Buyer's Guide
    Streaming Analytics
    June 2022
    Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
    608,010 professionals have used our research since 2012.

    Amazon Kinesis is ranked 2nd in Streaming Analytics with 10 reviews while Google Cloud Dataflow is ranked 11th in Streaming Analytics. Amazon Kinesis is rated 8.4, while Google Cloud Dataflow is rated 0.0. The top reviewer of Amazon Kinesis writes "Easily replay your streaming data with this reliable solution". On the other hand, Amazon Kinesis is most compared with Apache Flink, Azure Stream Analytics, Apache Spark Streaming, Confluent and Databricks, whereas Google Cloud Dataflow is most compared with Apache NiFi, Apache Flink, Databricks, Amazon MSK and Azure Stream Analytics.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.