Amazon Web Services announced the official launch of Amazon Kinesis, a managed service for real-time processing of streaming data.
Amazon Kinesis enables customers to store and process terabytes of data an hour from hundreds of thousands of sources, making it easy to write applications that take action on real-time data such as web site click-streams, marketing and financial transactions, social media feeds, logs and metering data, and location-tracking events.
Amazon Kinesis-enabled applications can power real-time dashboards, generate alerts, drive real-time business decisions such as changing pricing and advertising strategies, or send data to other big data services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Map Reduce (Amazon EMR), or Amazon Redshift.
Customers can create an Amazon Kinesis stream with a few clicks in the AWS Management Console or through a API call.
Amazon Kinesis managed service provide easy data ingestion and storage, high data durability, and the ability to scale seamlessly from kilobytes to terabytes an hour – at a fraction of the cost and effort.
The Amazon Kinesis client library simplifies load balancing, coordination, and fault tolerance, and developers can use AWS Auto Scaling to easily create elastic, high-performance Amazon Elastic Compute Cloud (Amazon EC2) processing clusters.
In addition, Amazon Kinesis also integrates with third-party products, giving developers control and freedom to choose their preferred method of data processing, including popular open source products.
Amazon Kinesis enables customers to add real-time analytics and other functionality to applications, turning data growth into an opportunity to build competitive advantage and innovate for their customers. Amazon Kinesis is currently available in the US East (N. Virginia) Region and will be rolled out to other AWS Regions in the coming months.
“When we set out to build Amazon Kinesis, we wanted to eliminate the cost, effort, and expertise barriers that have prevented our customers from processing streaming data in real-time,” said Terry Hanold, vice president, Cloud Commerce, AWS.
MediaMath, a digital marketing platform, is leveraging Amazon Kinesis as a complementary component of its digital marketing platform’s data pipeline.
“Our products stream billions of messages and terabytes of data daily as our clients run their digital advertising campaigns,” said Eddie Fagin, director of Engineering at MediaMath. “This data is the lifeblood of our company and powers the unparalleled performance we bring to clients around the world each day.”
“The managed Amazon Kinesis service, SDKs, and connectors, combined with Amazon EC2 auto-scale groups, will allow us to process this massive volume of data on AWS in real time. This will minimize operational complexity, thus allowing us to focus on helping marketers connect with their customers in the most effective and efficient way,” Fagin added.
