Amazon Timestream features

All data in Amazon Timestream is automatically encrypted by default, so you don’t need to manually encrypt data at rest or in transit. 

Timestream for LiveAnalytics offers native integrations for AWS IAM and AWS KMS services, you can securely manage access to your resources and data, including specifying an AWS KMS customer managed key (CMK) for encrypting data in the magnetic store. Timestream for LiveAnalytics also enables you to protect your time-series data, through integration with AWS Backup, to help you meet your compliance and business continuity needs. 

Using this fully managed functionality, you can create immutable backups, automate backup lifecycle management, and copy those backups across AWS accounts and Regions. In addition, you can schedule periodic backups of your data to meet your regulatory needs. The first backup of your table is a full backup, and subsequent backups of the same table are incremental, only copying the changes since the last backup, making it flexible and cost-effective to protect your data. 

You can create different backup plans for the Timestream for LiveAnalytics tables in your account, enabling you to protect each resource based on your specific regulatory and business continuity needs. You can also set retention policies that will automatically retain, expire, and transition backups to cold storage, minimizing backup storage costs. Additionally, you can restore the entire table to a database with a few clicks, simplifying data recovery. 

Timestream for InfluxDB offers integration with AWS Secrets Manager, so you can rotate, manage, and retrieve database credentials, API keys, and other secrets through their lifecycle.

Timestream for LiveAnalytics integrates with commonly used services for importing and exporting data, boosting your application with Machine Learning, or visualizing your data. You can send data to Amazon Timestream using AWS IoT Core, Amazon Kinesis, and Amazon MSK, and open source Telegraf connectors. You can use Amazon SageMaker with Amazon Timestream for machine learning. You can also visualize data using Amazon QuickSight, Grafana, and business intelligence tools through JDBC. 

Timestream for LiveAnalytics enables you to store and to analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. Its adaptive query engine allows you to access data across storage tiers using a single SQL statement. It transparently accesses and combines data across storage tiers without requiring you to specify the data location. Its query engine lets you access and analyze recent and historical data together with a single query. 

Timestream for LiveAnalytics scheduled queries offer a fully managed, serverless, and scalable solution for calculating and storing aggregates, rollups, and other real-time analytics used to power frequently accessed operational dashboards, business reports, applications, and device-monitoring systems. With scheduled queries, you simply define the queries that calculate aggregates, rollups, and other real-time analytics on your incoming data.

Timestream for LiveAnalytics periodically and automatically runs these queries and reliably writes the results into a configurable destination table. You can then point your dashboards, reports, applications, and monitoring systems to simply query the destination tables instead of querying the considerably larger source tables containing the incoming time-series data. This leads to increased performance while reducing cost by an order of magnitude. 

The destination tables contain much less data than the source tables, thereby offering faster and less expensive data access and storage. Given that destination tables contain much less data than source tables, you can store data in the destination tables for a much longer duration at a fraction of the storage cost of the source table. You can also choose to reduce the data retention period of your source tables to lower costs. Scheduled queries can therefore make time-series analytics faster, more cost effective, and more accessible to many more customers, so you can continue to make better data-driven business decisions.

Timestream for LiveAnalytics provides a one-month complimentary trial with up to 50 GB of ingestion, 100 GB of magnetic tier storage, and 750 GB of memory tier storage, and 750 GB of data scanned. 

You can access Amazon Timestream using the AWS SDKs. Timestream supports two SDKs per language. Supported languages include: Java, Java v2, Go, Python, Node.js, .NET.

Open source APIs
Timestream for InfluxDB is fully compatible with the InfluxDB open source APIs and allows you to easily integrate with Telegraf open source plugin-driven server agents and its hundreds of specialized plugins for collecting, processing and reporting metrics. InfluxDB has one of the strongest community support systems for time-series, offering a wealth of resources, shared knowledge, and regular updates ensuring continuous improvements and reliability for its users.