Amazon Kinesis

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.

Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application.

With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.

Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Benefits

REAL-TIME

Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.

FULLY MANAGED

Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.

SCALABLE

Amazon Kinesis can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies.

Amazon Kinesis capabilities

Kinesis Video Streams

Capture, process, and store video streams

Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing.

Kinesis Data Streams

Capture, process, and store data streams

Amazon Kinesis Data Streams enables you to build custom, real-time applications that process data streams using popular stream processing frameworks.

Kinesis Data Firehose

Load data streams into AWS data stores

Amazon Kinesis Data Firehose is the easiest way to capture, transform, and load data streams into AWS data stores for near real-time analytics with existing business intelligence tools.

Kinesis Data Analytics

Analyze data streams with standard SQL

Amazon Kinesis Data Analytics is the easiest way to process data streams in real time with SQL without having to learn new programming languages or processing frameworks.