Quickly analyze time-series data using SQL, with built-in analytic functions for smoothing, approximation, and interpolation.
Serverless database processes millions of queries per day and automatically scales as needed.
Simplify data lifecycle management with storage tiers, including a memory store for recent data and a magnetic store for historical data.
Derive faster insights from your data and make business decisions at a fraction of the cost of existing time-series solutions.
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.
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IoT applications
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DevOps applications
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Analytics applications
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IoT applications
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DevOps applications
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Analytics applications
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Use cases
IoT applications
Quickly analyze time-series data generated by IoT applications using built-in analytic functions to help you identify trends and patterns.
DevOps applications
Collect and analyze operational metrics to monitor health and usage, and analyze data in real time to improve performance and availability.
Analytics applications
Store and process incoming and outgoing web traffic data for your applications, with additional aggregate functions for analysis and insights.
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How to get started
Review pricing information
See an overview of pricing and access additional pricing resources.
Get started with a free account
Access the AWS Free Tier.
Explore database blogs
Check out the Amazon Database blog channel to learn more.