Real-time data streamer and analyzer

Amazon Kinesis Integration

Amazon Kinesis offers easy-to-use, cost-effective data streaming services with high scalability and complete flexibility.
With Kinesis, you can easily ingest, buffer, and process large volumes of streaming data in real-time. You can then analyze these streams to gather useful, actionable insights.
Kinesis supports various data formats such as audio, video, application logs, clickstream data, and IoT data. It provides unique streaming services to ingest and leverage this data to perform machine learning as well as advanced analytics.

What You Can Do with Amazon Kinesis

  • Fully managed service with no requirement of manual infrastructure administration
  • Support for high flexibility with the capability to process large volumes of data at very low latencies
  • Allows you to ingest and process data in real-time so that you don’t miss out on any insights
  • Rich support for machine learning, advanced analytics, and IoT capabilities to build state-of-the-art data applications

In order to set up Amazon Kinesis, you need to manually configure a Kinesis stream. You also need to install and configure the Kinesis API libraries and SDKs into your code for each event property that you wish to track. Optionally, you will have to learn the more advanced methods to access the Kinesis API and implement additional advanced functionalities.

RudderStack allows you to skip all these manual steps, and configure Amazon Kinesis seamlessly, through a simple integration.

Use RudderStack to Send Event Data From Your Mobile Apps Into Amazon Kinesis

With RudderStack, you can now configure Amazon Kinesis as a destination. Once enabled, you will be able to ingest, buffer, and process your event data in real-time without any hassle. You can use the RudderStack cloud mode to track and collect event data from a variety of data sources such as your website or mobile apps. You can then dump this data directly into your Amazon Kinesis stream. If you have your AWS credentials configured on your machine, you don’t require any other credentials to set up Amazon Kinesis.

By Adding Amazon Kinesis Support for RudderStack, You Can:

  • Track, collect and send customer event data to your Amazon Kinesis streams
  • Store the data into Kinesis without worrying about its authenticity and format
  • Easily set up your Kinesis stream on the RudderStack dashboard without any hassle
  • Ingest real-time data for machine learning, analytics or any other purpose of your choice

Kinesis offers intuitive dashboards to help you get a comprehensive understanding of all the aspects of your data streams


So How Do You Integrate Amazon Kinesis with RudderStack?

It’s very easy! Use our step-by-step guide to set up Amazon Kinesis as a destination in RudderStack, and get started in no time at all.


What does Amazon Kinesis do?
Amazon Kinesis is a cloud-based service offering by AWS that allows for processing and streaming large amounts of data in real time. It can handle large data workloads without any performance overhead. Designed for real-time applications and support for a variety of data sources, Amazon Kinesis also offers cutting-edge business intelligence and analytics tools to get insights out of your data in no time at all. The biggest advantage of Kinesis is that you don’t need to learn a new programming language or a framework at all. You can easily work with your data stream using simple SQL queries or Java. All your data can be stored and run on EC2 instances, so you can scale your data streams up or down without any hassle.
What is AWS Kinesis based on?
Amazon Kinesis also works on the publish and subscribe messaging system. However, unlike other tools like Apache Kafka, Kinesis is a fully-managed service on the AWS cloud. Also, it cannot be run on-premise.
Which types of Amazon Kinesis services are available?
Amazon Kinesis supports a variety of data streaming services such as Kinesis Video Streams, Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics.
What is the difference between Kinesis stream and Kinesis firehose?
Amazon Kinesis Firehose is a fully-managed service, i.e. it scales automatically. On the other hand, Kinesis Stream has to be managed manually. While the Firehose data can only be sent to S3 or Redshift, Streams data can be easily sent to the other services as well.

Similar Destinations

Amazon S3

Google Cloud Storage

Microsoft Azure Blob Storage