Posted On: Nov 4, 2020

You can now store streaming data for up to one year in Amazon Kinesis Data Streams. Long term retention of streaming data enables you to use the same platform for both real-time and older data retained in Amazon Kinesis Data Streams. For example, you can train machine learning algorithms for financial trading, marketing personalization, and recommendation models without moving the data into a different data store or writing a new application. You can also satisfy certain data retention regulations, including under HIPAA and FedRAMP, using long term retention. You only pay for data stored and retrieved without provisioning additional storage or compute resources.

Amazon Kinesis Data Streams is a massively scalable and durable real-time data streaming service. It can continuously capture gigabytes of data per second from hundreds of thousands of sources like website clickstreams, IoT data, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The data collected is available in milliseconds for real-time analytics use cases like dashboards, anomaly detection, dynamic pricing, and more.

For more information, refer to Changing the Data Retention Period in the Amazon Kinesis Data Streams Developer Guide and visit our pricing page. Long term retention of data is available in all AWS regions where Amazon Kinesis Data Streams is available.