Amazon Timestream - Overview
- Fully managed, fast, scalable, serverless time-series database service
- Time-series data measures how things change over time
- Store and analyze trillions of time-ordered events per day
- 1,000x faster query performance at 1/10th the cost of relational databases
- Automates rollups, retention, tiering, and compression of data
- Use cases:
- Log data for DevOps
- Sensor data for IoT applications
- Customer clickstream data in web traffic monitoring
- Industrial telemetry data for equipment maintenance
What is a time series
Timestream
- It's a serverless offering
- Automatically scales writes, storage, and query capacity on demand
- Can set the data retention policy for each table
- Data is organized by time intervals
- Uses time-series specific data compression (=less scanning, faster performance)
- Separate data processing layer for data ingestion, storage sharing and queries
- Uses an adaptive query engine that adapts to different time-series datasets
- Offers built-in analytics (interpolation / smoothing / approximation)
Timestream - Use cases
Timestream Pricing
- You pay only for what you use
- Writes - per million writes
- Reads (query) - per TB of data scanned by queries
- Storage - per GB (in-memory / SSD / magnetic)
- Data transfer
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