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Amazon Timestream

Fast, scalable, and serverless time-series database
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Why Timestream?

Timestream saves you time and cost in managing the lifecycle of time-series data by keeping recent data in memory and moving historical data to a cost-optimized storage tier based on user-defined policies.

Introduction to Amazon Timestream (1:34)

Use Cases

Quickly analyze time-series data generated by IoT applications using built-in analytic functions to help you identify trends and patterns.
Collect and analyze operational metrics to monitor health and usage, and analyze data in real time to improve performance and availability.
Store and process incoming and outgoing web traffic data for your applications, with additional aggregate functions for analysis and insights.

How it works

Amazon Timestream is a fast, scalable, and serverless time-series database service that makes it easier to store and analyze trillions of events per day up to 1,000 times faster. Amazon Timestream automatically scales up or down to adjust capacity and performance, so that you don’t have to manage the underlying infrastructure.

  • IoT applications
  • Three diagrams demonstrate how Amazon Timestream can be integrated into your IoT, DevOps, and analytics applications.
  • DevOps applications
  • Three diagrams demonstrate how Amazon Timestream can be integrated into your IoT, DevOps, and analytics applications.
  • Analytics applications
  • Three diagrams demonstrate how Amazon Timestream can be integrated into your IoT, DevOps, and analytics applications.