What is time-series data?

Time-series data is a sequence of data points—such as stock prices, temperature, and CPU use of an Amazon EC2 instance—recorded over time. With time-series data, each data point consists of a timestamp, one or more attributes, and the event that changes over time. This data is used to derive insights into the performance and health of an application, detect anomalies, and identify optimization opportunities. For example, DevOps engineers might want to view data that measures changes in infrastructure performance metrics, manufacturers might want to track IoT sensor data that measures changes in temperature of an equipment across a facility, and online marketers might want to analyze clickstream data that captures how a user navigates a website over time. As time-series data is generated from multiple sources in extremely high volumes, it needs to be cost-effectively stored and analyzed in near real time to derive key business insights.

Which engines does Amazon Timestream support?

Amazon Timestream offers fully managed InfluxDB , one of the most popular open source time-series databases in the market, and LiveAnalytics , a serverless time-series database built for scale.

Is Amazon Timestream supported on Database Savings Plans?

Yes, you can purchase a Database Savings Plans for your Amazon Timestream usage and reduce your costs by up to 20% when you commit to a consistent amount of usage over a 1-year term. Additional information on eligible usage can be found on Database Savings Plans pricing page .

How do I get started with Timestream?

You can get started with Timestream using the AWS Management Console , AWS Command Line Interface (AWS CLI), or SDKs. For more information, including tutorials and other getting started content, see the developer guide .

When should I use Amazon Timestream for LiveAnalytics compared to Amazon Timestream for InfluxDB?

Amazon Timestream for InfluxDB should be used for use cases that require near real-time time-series queries and when you need InfluxDB features or open source APIs. The existing Timestream engine, Amazon Timestream for LiveAnalytics, should be used when you need to ingest more than tens of gigabytes of time-series data per minute and run SQL queries on terabytes of time-series data in seconds.

Can I use Timestream for InfluxDB and Timestream for LiveAnalytics together?

Yes. The two engines complement each other for low-latency and large-scale ingestion of time-series data. You can ingest data into Timestream for InfluxDB and use a Telegraf plugin to send data into Timestream for analysis of historical data through SQL queries.

Are there additional charges to use Timestream for LiveAnalytics with Timestream for InfluxDB?

If you decide to migrate your Timestream for InfluxDB data into Timestream for LiveAnalytics, you will incur public billing charges for using that service, including ingestion, storage, and querying. It is optional to use Timestream for LiveAnalytics with Timestream for InfluxDB.

How will this affect my existing workloads in Timestream for LiveAnalytics?

Timestream for InfluxDB can be used separately or with your Timestream for LiveAnalytics workloads. Timestream for InfluxDB is targeted for near real-time applications with single-digit millisecond response times. Timestream for LiveAnalytics addresses use cases that need to ingest gigabytes of data in minutes and query terabytes of data in seconds. You can combine Timestream for InfluxDB and Timestream for LiveAnalytics within your applications or dashboards.

Amazon Timestream

Amazon Timestream FAQs

Get started with Timestream

Connect with an AWS specialist

General
15
Timestream for LiveAnalytics
34