Kinesis is a service related to real-time processing of streaming data. It buffers data into a storage system with checkpoints to absorb the data into the Redshift cloud data warehouse. Users can store and process large datasets each hour from various sources like financial transactions, social media feeds, location-tracked events etc. With Kinesis, business customers can write applications, generate alerts, and make other decisions virtually apart from retrieving the stored data back instantly. According to Amazon, Kinesis can support applications and data streams of any size while replicating across multiple availability zones. Kinesis has been positioned as an answer to big data, with a “pay-as-you-go” pricing.

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http://www.zdnet.com/kinesis-amazon-web-servicess-answer-to-big-data-7000023223/

During 2013 December, Amazon launched Kinesis. It is a service for real-time processing of streaming data. Kinesis is designed to capture small records, which in turn forms huge amount of backend data. Amazon wanted to be able to capture all of that data, aggregate it, and put it into its AWS cloud storage service (S3), so that they could look at it at a later stage. Waite, General Manager of Data Services, AWS, said “This enables us to scale the metering service to new limits and give alerts in real time”.

To read more, visit the following link:

http://venturebeat.com/2014/03/20/why-amazon-created-aws-kinesis-its-live-data-processing-service/