---
title: How to start and stop a Data Warehouse deployment
description: This page details the steps to start and stop a Scaleway Data Warehouse for ClickHouse® deployment.
tags: start stop data warehouse clickhouse deployment
dates:
  validation: 2026-01-27
  posted: 2026-01-27
---

import Requirements from '@macros/iam/requirements.mdx'

This page explains how to start and stop a Data Warehouse for ClickHouse® deployment to efficiently manage the cost of your resources.

<Requirements />

- A Scaleway account logged into the [console](https://console.scaleway.com)
- [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
- Created a [Data Warehouse deployment](/data-warehouse/how-to/create-deployment/)

## How to stop a Data Warehouse for ClickHouse® deployment

1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.

2. Click the name of the Data Warehouse deployment you want to stop. The overview tab of the deployment displays.

3. Click the top-right **Actions** button, and select **Stop** from the drop-down menu. A confirmation pop-up displays.

4. Click **Stop deployment** to confirm your action.

Your deployment is now stopped.

## How to start a Data Warehouse for ClickHouse® deployment

1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.

2. Click the name of the Data Warehouse deployment you want to start. The overview tab of the deployment displays.

3. Click the top-right **Actions** button, and select **Start** from the drop-down menu. A confirmation pop-up displays.

4. Click **Start deployment** to confirm your action.

Your deployment starts. This operation may take some time.

<Message type="tip">
You can use a [Serverless Job](/serverless-jobs/quickstart/) and the [Scaleway CLI](/scaleway-cli/quickstart/) to automatically start and stop your Data Warehouse deployment on a recurring schedule. Refer to the [dedicated documentation](/serverless-jobs/how-to/automate-resources-management/) for more information.
</Message>