---
title: "Manage the Analytics Manager query engine"
description: "The resources tab allows you to manage the query engine of your Project, i.e. the technology powering SQL analytics in the Project"
url: https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/analytics-manager-resources
lang: it
lastUpdated: 2026-09-14
---
> For AI agents: the complete documentation index is available at https://docs.ovhcloud.com/it/llms.txt, the full documentation bundle is available at https://docs.ovhcloud.com/it/llms-full.txt.

# Manage the Analytics Manager query engine

## Objective

The resources tab allows you to manage the **query engine** of your Project, i.e. the technology powering SQL analytics in the Project.

It executes queries on one or several [tables](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/lakehouse-manager-tables.md), and is able to distribute the query processing on multiple worker instances.

![resources1](/images/public-cloud/data-platform/product/am/picts/resources-deactivated.png)
You can activate one query engine per Project, in order to use the advanced features of the Analytics Manager.

## Manage the query engine

### No query engine

By default, newly created Projects have **no query engine activated**. You can activate it manually on the resources page.

Without a query engine activated, you can still do the following:

- Create and run queries using the [visual mode](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/analytics-manager-queries-visual-builder.md), on a single [dataset](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/lakehouse-manager-datasets.md)
- Deploy and use [applications in Application Services](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/landing-page-app-services-apps.md)
- [Connect](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/developers-python-sdk-reference.md#the-connect-function) to your data from a [Data Processing Engine](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/landing-page-dpe.md) action.
- Connect to the [datasets](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/lakehouse-manager-datasets.md) directly from outside the Project  - _coming soon!_

However, it is impossible to do the following without a query engine:

- Create and run queries using the [SQL mode](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/analytics-manager-queries-sql-editor.md)
- Query (and join) data spread on multiple [datasets](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/lakehouse-manager-datasets.md), or even on [directly queryable sources](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/connectors-sources-configure.md#make-your-data-source-directly-queryable)
- Create [dashboards](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/analytics-manager-dashboards.md)
- View the query [history](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/analytics-manager-history.md) and detailed query execution metrics
- Implement fine-grained [permissions](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/iam-roles-conditions.md) on the tables and access to the data they contain - _coming soon!_

## Manage instances

You can manage the number of parallel worker instances within a Trino cluster. There will also always be a coordinator, which distributes queries in the cluster.

![resources1](/images/public-cloud/data-platform/product/am/picts/resources-horizontal1.png)
If you only have one instance in your cluster, the coordinator will also be a worker.

![resources1](/images/public-cloud/data-platform/product/am/picts/resources-horizontal2.png)
You can also scale your query engine vertically and allocate **more computing power** to it by increasing the number of [Data Platform Units](https://docs.ovhcloud.com/it/guides/public-cloud/data-platform/manage-pricing.md) (DPU) of each instance. The DPU is a unit of general processing capability, representing access to approximately _1 vCPU_ and _4 GB of RAM_, based on hardware availability.

![Manage instances — Resources vertical](/images/public-cloud/data-platform/product/am/picts/resources-vertical.png)
## Go further

If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](https://www.ovhcloud.com/it/professional-services/) to get a quote and ask our Professional Services experts for a custom analysis of your project.

Ask questions, give your feedback and interact directly with the team building the Data Platform on the dedicated [Discord channel](https://discord.gg/ovhcloud).

If you need support with your OVHcloud services, create a request in our [Help Centre](https://help.ovhcloud.com/csm?id=csm_get_help).

Join our [community of users](https://community.ovhcloud.com/).