Amazon Timestream

Fast, scalable, and serverless time-series database

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 database service that offers fully managed, purpose-built time-series database engines for workloads from low-latency queries to large-scale data ingestion. These engines give you a single time-series database service that supports the range of time-series workloads from low-latency queries and large-scale data ingestion. As it is fully managed, Timestream frees up your time as it removes time-consuming database infrastructure tasks such as installation, upgrades, storage, replication for high availability, and manual backups.

  • 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.

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