Timestream
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- Can store and analyze trillions of time series data points per day
- Saves time and cost by keeping recent data in memory and moving historical data to cost-optimized storage
- Built-in query engine, time series analytics functions, and integration with common services for data collection, visualization, and machine learning
- Serverless and automatically scales to adjust capacity and performance, no need to manage underlying infrastructure
- Can send data to Timestream using AWS IoT Core, Amazon Kinesis, Amazon MSK, and Telegraf
- Can visualize data using Amazon QuickSight, Grafana, and JDBC, and use Amazon SageMaker for machine learning
