Getting started with Amazon Timestream is easy: you create a database through the Amazon Web Services Console, the Amazon Command Line Interface (CLI), or Amazon SDKs. You can send data to Amazon Timestream using data collection services such as Amazon IoT Core, Amazon Managed Service for Apache Flink, and Telegraf, or through the Amazon 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.
For a primer on Amazon Timestream, a quick “Getting Started with Timestream” course is available to you free of cost. In this course, you will learn the benefits, typical use cases, and technical concepts of Timestream. You can easily get started with the service using the provided sample code or the interactive tool in the Amazon Web Services Management Console.
Additionally, you can find more helpful content including Timestream videos, guides, and documentation below.
Best Practices to Get Started
Grafana plugin
Create dashboards in Grafana to visualize your time series data using the Amazon Timestream plugin for Grafana.
JDBC driver
Derive insights from your time series data with your preferred business intelligence tools using the Amazon Timestream JDBC driver.
Apache Flink adapter
Send data from Amazon Kinesis, Amazon MSK, Apache Kafka, and other streaming technologies directly into Amazon Timestream using the Apache Flink adapter.
Telegraf connector
You can send time series data collected using open source Telegraf directly into Amazon Timestream using the Telegraf connector.
Amazon SageMaker Notebook
You can use Amazon SageMaker notebooks to integrate your machine learning models with Amazon Timestream.
Documentation
Amazon Timestream Developer Guide
Provides a conceptual overview of Amazon Timestream and instructions for using the various features with both the AMAZON WEB SERVICES Management Console and the Amazon command line interface (CLI).
Amazon CLI Reference for Amazon Timestream
Describes how to use the Amazon command line interface (CLI) to control Amazon Timestream.
Disclaimer:
Amazon Timestream offers two engines, InfluxDB and LiveAnalytics, both of which are covered in our product page and relevant documentation to provide comprehensive information. Please note: Currently, only Amazon Timestream for InfluxDB is available in the Amazon Web Services China (Beijing) Region, operated by Sinnet and the Amazon Web Services China (Ningxia) Region, operated by NWCD. All content related to LiveAnalytics in the product page and relevant documentation of Amazon Timestream is reserved for future developments, and such content should not be construed as part of the current service content of Amazon Timestream and is not legally binding.
