Posted On: Mar 2, 2023

Today Amazon Timestream launched Batch Load, a new feature for ingesting batched time series data into Timestream. Batch Load provides customers with a robust, serverless, and scalable solution to migrate data from CSV files stored in S3 directly into Timestream. With Batch Load, customers specify one or more source files, the target Timestream database and table, and a data model to apply. Batch Load then automatically and reliably ingests the data in parallel. Learn more by visiting the 5-minute Batch Load demo video or the developer guide below.

Amazon Timestream is a fast, serverless, and purpose-built time series database for real-time analytics, DevOps, and IoT applications that can scale to process trillions of time series events per day. Amazon Timestream simplifies data lifecycle management through the use of data tiers and user-defined data retention policies. The purpose-built query engine lets you access and analyze recent and historical data across these tiers. Additionally, visualizing your data is simple with integration and connector support through Amazon Quicksight, Grafana, and JDBC. Amazon Timestream also automatically scales up or down to adjust for capacity and performance, so you don’t need to manage the underlying infrastructure, freeing you to focus on building your applications. The service is also HIPAA eligible, ISO certified, FedRAMP (Moderate) compliant, PCI DSS compliant, and in scope for AWS’s SOC reports SOC 1, SOC 2, and SOC 3. 

To get started with Batch Load, navigate to the Amazon Timestream Console, or use the API and CLI as described in the developer guide. Batch Load is available in all regions Amazon Timestream is currently available today. To learn more about Amazon Timestream, visit our product page, or visit the following Amazon Timestream resources: