AWS announces Amazon Timestream time-series database for IoT and other apps

[NiveRoshni]

AWS announces Amazon Timestream time-series database for IoT and other apps



Amazon Web Services (AWS) has just announced the general availability of Amazon Timestream database. The database technology is designated for IoT and operational applications. The tech firm believes that the database technology can be scaled up to process trillions of events per day.

TimeStream is designed to save efforts of Amazon Web Services (AWS) customers. The database technology can keep recent data in-memory and move historical data to cost optimised storage. The explosion in data volumes has enabled Amazon to drive the emergence of the new database technology.

The new database is useful for cases such as gauging product demand in real-time, analysing clickstream data, monitoring IT infrastructure, real-time supply chain and tracking commodity prices and capital markets.

The time-series data stresses upon parameters of the most SQL and NoSQL platforms. Amazon claims that the database platform is designed from the ground up. The SQL interface and multi-AZ replication can conjure similarities to Amazon Aurora, another serverless architecture, which looks like DynamoDB clone.

Shawn Bice, VP, Databases, AWS said, "What we hear from customers is that they have a lot of insightful data buried in their industrial equipment, website clickstream logs, data centre infrastructure, and many other places, but managing time-series data at scale is too complex, expensive, and slow. 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."

TimeStream is very different than DynamoDB. It focused a lot of ingestion of IoT and Streaming data. It also has connectors for Telegraf, an open-source agent and Prometheus time-series database for system data. The platform also has a connector to pull data from Telegraf.

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