Posted On: Sep 30, 2020
Amazon Timestream is a new time series database for IoT, edge, and operational applications that can scale to process trillions of time series events per day up to 1,000 times faster than relational databases, and at as low as 1/10th the cost. Amazon Timestream saves customers effort and expense by keeping recent data in memory and moving historical data to a cost-optimized storage tier based upon user-defined policies. Its purpose-built query processing engine gives customers the ability to access and combine recent and historical data transparently across tiers with a single query, without needing to specify explicitly in the query whether the data resides in the in-memory or cost-optimized tier.
Amazon Timestream’s analytics features provide time series-specific functionality to help customers identify trends and patterns in data in near real time. Amazon Timestream’s serverless architecture is built with fully decoupled data ingestion and query processing systems, giving customers virtually infinite scale and the ability to grow and shrink ingestion, storage, and query processing independently and automatically, without requiring them to manage the underlying infrastructure. In addition, Amazon Timestream integrates with popular data collection, visualization, and machine learning tools that customers use today, including services like AWS IoT Core (for IoT data collection), Amazon Kinesis and Amazon MSK (for streaming data), Amazon QuickSight (for serverless Business Intelligence), and Amazon SageMaker (for building, training, and deploying machine learning models quickly), as well as open source, third-party tools like Grafana (for observability dashboards) and Telegraf (for metrics collection). There are no upfront costs or commitments required to use Amazon Timestream, and customers pay only for the data they write, store, or query.
Amazon Timestream is available today in US East (N. Virginia), US East (Ohio), US West (Oregon), and EU (Ireland), with availability in additional regions in the coming months. To get started with Amazon Timestream, visit our product page.