Source: aws.amazon.com
Store and Access Time Series Data at Any Scale with Amazon Timestream – NoCategory: Software, Database, Data, machine-learning
Time series are a very common data format that describes how things change over time. Timestream is a fast, scalable, and serverless time series database service that makes it easy to collect, store, and process trillions of time series events per day up to 1,000 times faster and at as little as to 1/10th the cost of a relational database. This is made possible by the way Timestream is managing data: recent data is kept in memory and historical data is moved to cost-optimized storage based on a retention policy you define.
You can visualize data stored in Timestream from Amazon QuickSight, and use Amazon SageMaker to apply machine learning algorithms to time series data, for example for anomaly detection.
When writing data in Timestream, you cannot insert data that is older than the retention period of the memory store.
You can visualize data stored in Timestream from Amazon QuickSight, and use Amazon SageMaker to apply machine learning algorithms to time series data, for example for anomaly detection.
When writing data in Timestream, you cannot insert data that is older than the retention period of the memory store.
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