

For similar capabilities to Amazon Timestream for LiveAnalytics, consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more [here](https://docs.aws.amazon.com//timestream/latest/developerguide/timestream-for-influxdb.html).

# Sample application
<a name="sample-apps"></a>

Timestream ships with a fully functional sample application that shows how to create a database and table, populate the table with \$1126K rows of sample data, and run sample queries. Follow the steps below to get started with the sample application in any of the supported languages:

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#### [  Java  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Timestream for LiveAnalytics following the instructions described in Getting Started with [Java](getting-started.java.md).

1. Run the [Java sample application](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/java) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/java/README.md) 

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#### [  Java v2  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with [Java v2](getting-started.java-v2.md).

1. Run the [Java 2.0 sample application](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/javaV2) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/javaV2/README.md) 

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#### [  Go  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with [Go](getting-started.go.md).

1. Run the [Go sample application](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/sample_apps/goV2) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/goV2/README.md) 

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#### [  Python  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in [Python](getting-started.python.md).

1. Run the [Python sample application](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/python) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/python/README.md) 

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#### [  Node.js  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with [Node.js](getting-started.node-js.md).

1. Run the [Node.js sample application](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/js) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/js/README.md) 

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#### [  .NET  ]

1. Clone the GitHub repository [Timestream for LiveAnalytics sample applications](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps) following the instructions from [GitHub](https://docs.github.com/en/free-pro-team@latest/github/creating-cloning-and-archiving-repositories/cloning-a-repository).

1. Configure the AWS SDK to connect to Amazon Timestream for LiveAnalytics following the instructions described in Getting Started with [.NET](getting-started.dot-net.md).

1. Run the [.NET sample application](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/dotnet) following the instructions described [here](https://github.com/awslabs/amazon-timestream-tools/blob/master/sample_apps/dotnet/README.md) 

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