Amazon Kinesis

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Amazon Kinesis
DeveloperAmazon Web Services
Initial releaseNovember 2013[1]
Repository
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Engine
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    Operating systemAmazon Web Services
    PlatformCloud computing
    TypeBig data and Streaming data
    LicenseProprietary software
    Websiteaws.amazon.com/kinesis/

    Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously.[2] Kinesis supports multiple use cases, including real-time analytics, log and event data collection, and real-time processing of data generated by IoT devices.

    History

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    Amazon Kinesis was launched by Amazon Web Services (AWS) in November 2013 as a managed service for processing and analyzing real-time streaming data at a large scale.[3] The service was introduced to address the growing need for businesses to process and analyze data as it was generated, rather than in batches, allowing for real-time insights and decision-making.

    Since its launch, the Amazon Kinesis family of services has expanded to include four main components: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams.[4] Each of these components serves a specific purpose in the processing and analysis of real-time streaming data.

    In August 2015, AWS announced the availability of Kinesis Data Firehose, a fully managed service for delivering real-time streaming data to destinations such as Amazon S3, Amazon Redshift, and Amazon Elasticsearch.[5] A year later in August 2016, AWS launched Kinesis Data Analytics, enabling customers to analyze streaming data in real time using standard SQL queries.[6]

    AWS introduced Kinesis Video Streams, a fully managed service for securely capturing, processing, and storing video streams for analytics and machine learning applications, was introduced by AWS in November 2017.[7]

    Components

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    Amazon Kinesis is composed of four main services: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams.[4]

    Kinesis Data Streams

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    Kinesis Data Streams is a scalable and durable real-time data streaming service that captures and processes gigabytes of data per second from multiple sources.[8] It enables the storage and processing of data in real time, making it useful for applications that require immediate insights, such as monitoring and alerting.

    Kinesis Data Firehose

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    Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch, and AWS-partner data stores.[9] With Data Firehose, users can configure and scale data delivery without manual intervention.

    Kinesis Data Analytics

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    Kinesis Data Analytics enables the analysis of streaming data in real time using standard SQL or Apache Flink.

    Kinesis Video Streams

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    Kinesis Video Streams is a fully managed service for securely capturing, processing, and storing video streams for analytics and machine learning.[10] It supports multiple video codecs and streaming protocols, making it suitable for various use cases, such as security and surveillance, video-enabled IoT devices, and live event broadcasting.

    Integration

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    Amazon Kinesis can be easily integrated with other AWS services, such as AWS Lambda, Amazon S3, Amazon Redshift, and Amazon OpenSearch. This integration enables developers to build end-to-end streaming data processing applications, taking advantage of the extensive AWS ecosystem.[11]

    Use cases

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    Some common use cases for Amazon Kinesis include:[2]

    • Real-time analytics: Analyzing streaming data in real time to provide immediate insights and make data-driven decisions.
    • Log and event data collection: Collecting, processing, and analyzing log and event data generated by applications, infrastructure, and devices.[12]
    • IoT data processing: Processing and analyzing large volumes of data generated by IoT devices in real time.[13]
    • Machine learning: Ingesting and processing video streams for machine learning applications, such as object recognition, facial recognition, and sentiment analysis.

    Pricing

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    Amazon Kinesis follows a pay-as-you-go pricing model, with costs depending on the chosen service, data volume, and processing power required.[14] AWS provides a free tier for Kinesis Data Streams and Kinesis Data Firehose, allowing users to get started with the services at no cost.[15]

    See also

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    References

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