Amazon’s AWS cloud computing platform today launched Kinesis Analytics, a new service that makes it easier to analyze real-time streaming data with the help of standard SQL queries. Kinesis ...

For Amazon Web Services (AWS) and Snowflake a modern data streaming pipeline makes it easy for organizations to get data in near real-time from one platform to another.

Amazon Kinesis, the company's new data streaming analytics platform, is now in public beta, allowing developers to build real-time apps without having to manage the complexity of multiple clusters.

Kinesis’ tools allow you to process data in near-real time, the throughput of data streams can be dynamically adjusted, and like other AWS services, there are no upfront or setup costs involved.

Striim Inc. is expanding its real-time data integration capabilities with the launch of Striim Cloud on Amazon Web Services Inc., enabling customers to stream data to their AWS-based applications the ...

Kinesis is a service for real-time processing of streaming data that Amazon launched in December. It’s designed to capture those tiny records, which make up a huge amount of backend data in ...

The Kinesis Firehose eases things a bit, as it can push data from a Kinesis Stream into Amazon S3, Redshift or ElasticSearch Service, from whence the data can be queried using a variety of ...

Jumping on the “real-time” bandwagon, Amazon today announced Kinesis, a new stream processing service that aims to help make sense of high-volume data sources such as Twitter's "firehose ...