Getting started with Amazon Timestream is easy: you create a database through the AWS Console, the AWS Command Line Interface (CLI), or AWS SDKs. You can send data to Amazon Timestream using data collection services such as AWS IoT Core, Amazon Kinesis Data Analytics for Apache Flink, and Telegraf, or through the AWS SDKs. You can use SQL to access your time series data with your preferred business intelligence tools using the JDBC driver. You can visualize and analyze time series data in Amazon Timestream using Amazon QuickSight and Grafana. You can also use Amazon SageMaker with Amazon Timestream for your machine learning needs.
Best Practices to Get Started
Amazon Timestream Developer Guide »
Provides a conceptual overview of Amazon Timestream and instructions for using the various features with both the AWS Management Console and the AWS command line interface (CLI).
AWS CLI Reference for Amazon Timestream »
Describes how to use the AWS command line interface (CLI) to control Amazon Timestream.
You can access Amazon Timestream using the Java, Go, Python, and Node.js SDKs. Get started with the Amazon Timestream SDKs in the documentation.
There are many resources to help you learn how to build with Amazon Timestream.
Instantly get access to the AWS Free Tier.
Get started building with Amazon Timestream in the AWS Console.