Amazon Timestream
Fast, scalable, and serverless time series database for IoT and operational applications.
Query Performance
Up to 1,000x faster than relational databases
Cost
As little as 1/10th the cost of relational databases
Scalability
Trillions of events per day
About Amazon Timestream
Amazon Timestream is a purpose-built, serverless time-series database that automatically scales up or down to adjust capacity and performance. It's designed for collecting, storing, and processing time-series data from sources like IoT devices, application logs, and industrial telemetry. Timestream uses a time-based data lifecycle management system to optimize costs by moving historical data to a lower-cost storage tier. It provides simplified data access through SQL with built-in time series functions for interpolation and smoothing. The service is often used for monitoring DevOps metrics, visualizing IoT sensor data, and other real-time analytics use cases.
Key Features
Serverless
Automatically scales compute and storage capacity based on demand, with no servers to manage.
Data Lifecycle Management
Automatically transitions data from an in-memory tier to a magnetic tier based on user-defined policies to optimize cost.
Purpose-Built Query Engine
Supports SQL with built-in functions for time-series analytics like smoothing, approximation, and interpolation.
Data Encryption
All data is always encrypted, both at rest and in transit.
Common Use Cases
Iot Applications
Collect and analyze time-series data from large fleets of IoT devices.
Devops Monitoring
Store and analyze performance and health metrics from applications and infrastructure.
Industrial Telemetry
Analyze data from industrial equipment to monitor production and identify anomalies.