Introducing Amazon Kinesis Analytics
We are excited to announce general availability of Amazon Kinesis Analytics, a fully managed service for continuously querying streaming data using standard SQL. With Kinesis Analytics, you can write standard SQL queries on streaming data and gain actionable insights in real-time, without having to learn any new programming skills.
You can get started with Kinesis Analytics in minutes with three easy steps in the AWS Management Console. First, you select a Kinesis stream or Kinesis Firehose delivery stream as the input stream. Kinesis Analytics ingests the data, automatically recognizes standard data formats including JSON, CSV, and TSV, and suggests a schema. You can refine this schema, or if your data is unstructured, you can define a new one using our intuitive schema editor. Next, you use the Kinesis Analytics SQL editor and pre-built templates to write your SQL queries. Lastly, you point to where you want Kinesis Analytics to load processed results. Kinesis Analytics takes care of everything required to continuously run your queries, and automatically scales to match the volume and throughput rate of incoming data while delivering sub-second processing latencies.
Kinesis Analytics is closely integrated with other AWS services so you can build complete stream processing solutions using services you are already familiar with. It integrates out-of-box with Kinesis Streams and Kinesis Firehose so it’s easy to ingest streaming data and send processed results to Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, or your own custom destination.
With Kinesis Analytics, you only pay for the resources your queries use. There is no minimum fee or setup cost. For more information on Kinesis Analytics pricing, see the pricing page.
Amazon Kinesis Analytics is currently available in the following AWS Regions: N. Virginia, Oregon, and Ireland. To learn more about Amazon Kinesis Analytics, see our website, this blog post, and the documentation. To get started with Kinesis Analytics, visit the AWS Management Console.