> For the complete documentation index, see [llms.txt](https://docs.duplocloud.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.duplocloud.com/docs/automation-platform/overview/aws-services/database/timestream-database.md). # AWS Timestream database DuploCloud supports the Amazon Timestream database in the DuploCloud Portal. AWS Timestream is a fast, scalable, and serverless time-series database service that makes it easier to store and analyze trillions of events per day at an accelerated speed. Amazon Timestream automatically scales to adjust for capacity and performance, so you don’t have to manage the underlying infrastructure. ## Adding a Timestream database 1. In the DuploCloud Portal, navigate to **Cloud Services** -> **Database**. 2. From the **RDS** page, click the **Timestream** tab.

3. Click **Add**. The **Add Timestream Database** pane displays.

4. Enter the **DatabaseName.** 5. Select an **Encryption Key**, if required. 6. Click **Submit**. The Timestream database name displays on the **Timestream** tab. ## Adding Tables to a Timestream database 1. In the DuploCloud Portal, navigate to **Cloud Services** -> **Database**. 2. From the **RDS** page, click the **Timestream** tab. 3. Select the database from the **Name** column. 4. On the **Tables** tab, click **Add**. The **Add Timestream Table** pane displays.

5. Enter the **Table Name** and other necessary information to size and create your table. 6. Click **Create**. ## Modifying and Running a Timestream database 1. In the DuploCloud Portal, navigate to **Cloud Services** -> **Database**. 2. From the **RDS** page, click the **Timestream** tab. 3. Select the database from the **Name** column. 4. On the Timestream page, click the database's **Action** menu to modify the **JSON** code or launch the **Console** in AWS. You can also select the database name in the **Name** column and, from the **Tables** tab, click the table's **Action** menu to modify the **JSON** code or launch the **Console** in AWS or **Delete** a table.

**Actions** menu for a **Timestream** database, **Tables** tab

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