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Amazon Kinesis Integration
Amazon Kinesis enables you to ingest, buffer and process streaming data in real-time. It can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies along with the flexibility to choose the tools that best suit the requirements of your application.
Amazon Kinesis Integration
Amazon Kinesis enables you to ingest, buffer and process streaming data in real-time. It can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies along with the flexibility to choose the tools that best suit the requirements of your application.
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.
By Adding Amazon Kinesis Support for RudderStack, you can:
- Track, collect and send customer event data to your Amazon Kinesis streams
- Send 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
RudderStack Amazon Kinesis Documentation
Refer to our step-by-step guide and start using Amazon Kinesis today
About Amazon Kinesis
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.
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