What Is AWS Time Series Databases?
Amazon Timeseries Database is a built-in time series based database functions which helps the user to identify the trends and patterns in their data in quick real-time. This database is serverless and it automatically scales up or down to adjust the capacity and performance because the user don’t have to manage the data infrastructure and they can focus on building their applications without any trouble.
The timeseries database is also able to integrate with the commonly used services y the user such as data collection, visualization, and machine learning. It can also receive the data into Amazon Timestream using AWS IoT Core, Amazon Kinesis, Amazon MSK, and open source Telegraf. This helps to visualize the data with the help of Amazon QuickSight, Grafana, and business intelligence tools through JDBC. Developers are also able to use Amazon Sage-Maker with Time series database for machine learning.
What Is AWS Time Series Databases? Setup Amazon Timestream
Amazon Timestream is a managed AWS time-series database based service which is provided by Amazon Web Services (AWS). It is a service which helps the users to manage and analyze the time-series data easily. The Amazon Timestream keeps recent data in its memory to quickly access it when it is moving to a older data. It is very cost-effective storage warehouse according to the developers. It can be used to access and analyze the recent and historical data together without worrying about the storage.
This also provides the user with the built-in analytics functions which allow them to identify the data in very quick time. It is serverless and the user don’t have to worry about how to manage the underlying infrastructure. It aim is to let user focus on building and optimizing their applications without worrying about any issues with their time-series data.