As name indicates, Amazon Timestream is a time series database so it's fully managed, fast, scalable, serverless time series database. Use cases for timestream would be to have an IoT application, operational applications, real-time Analytics or everything related to a Time series database.
Timeseries database can receive data from AWS IoT so internet of things, the Kineses Data Streams through them that can receive data as well, Prometheus, Telegraf, their integrations for that case the streams as well through conditions data analytics for Apache link can receive data into Amazon time stream and Amazon msk as well through the same process.
In terms of what can connect to do timesstream where can build a dashboards using Amazon Quicksight and machine learning using Amazon SageMaker, can connect to grafana or because there is a standard jdbc connection into your database and the application that is compatible with jdbc and SQL can leverage Amazon timestream.
- Automatically scale up/down to scale capacity.
- Store and analyse trillions of events per day.
- 1000s times faster & 1/10th the cost of relation databases.
- Schedule queries, multi-measure records and SQL Compatibility.
- Data storage tiering : Recent data kept in memory and historical data kept in a cost-optimised storage.
- Built-in time series analytics functions (helps you identify patterns in your data in real-time.
- Supports Encryption in-transit and at rest.
Amazon Timestream Architecture
Timeseries database can receive data from AWS IoT so internet of things, the Kineses Data Streams through them that can receive data as well, Prometheus, Telegraf, their integrations for that case the streams as well through conditions data analytics for Apache link can receive data into Amazon time stream and Amazon msk as well through the same process.
In terms of what can connect to do timesstream where can build a dashboards using Amazon Quicksight and machine learning using Amazon SageMaker, can connect to grafana or because there is a standard jdbc connection into your database and the application that is compatible with jdbc and SQL can leverage Amazon timestream.
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