SEATTLE: Amazon Web Services (AWS) has announced the general availability of Amazon Timestream, a new time series database for IoT 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, while its query processing 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. Because Amazon Timestream is serverless, it automatically scales up or down to adjust capacity based on load, without customers needing to manage the underlying infrastructure.
“What we hear from customers is that they have a lot of insightful data buried in their industrial equipment, website clickstream logs, data center infrastructure, and many other places, but managing time series data at scale is too complex, expensive, and slow,” said Shawn Bice, VP, Databases, AWS.
“Solving this problem required us to build something entirely new. Amazon Timestream provides a serverless database service that is purpose-built to manage the scale and complexity of time series data in the cloud, so customers can store more data more easily and cost effectively, giving them the ability to derive additional insights and drive better business decisions from their IoT and operational monitoring applications.”
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.