---
title: "Connectors and Connection Strings"
description: "In Data Platform's Project, all available data are defined and configured in the Lakehouse Manager"
url: https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/developers-python-sdk-connectors
lang: de
lastUpdated: 2026-09-14
---
> For AI agents: the complete documentation index is available at https://docs.ovhcloud.com/de/llms.txt, the full documentation bundle is available at https://docs.ovhcloud.com/de/llms-full.txt.

# Connectors and Connection Strings

## Objective

In Data Platform's Project, all available **data** are defined and configured in the [Lakehouse Manager](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/landing-page-lakehouse-manager.md).

In the Python SDK, all those **data sources** are named by a unique **connection string** and accessible through **connectors** returned by the `connect()` function. The returned **Connector object** as well as its available methods depend on the **data source's type**.

A simple example to list tables from the default dataset:

```python
from forepaas.dwh import connect

# connect to default dataset
cn_prim = connect('dwh/default_dataset/')
# list databases tables
tables = cn_prim.list()
print(tables)
```

:::info
**Connection strings** are used in all Project's components to reference **data sources**, for instance in Data Processing Engine [Load](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-actions-load-advanced-mode.md) and [Aggregate](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-actions-aggregate-advanced-mode.md) actions or when [applying segmentation](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/tutorials-segmentation-table-attribute.md#understanding-advanced-parameters).
:::

## Buckets

[Buckets](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/lakehouse-manager-buckets.md) are Data Platforms' built-in object store. Below, the connection string and its respective Connector object returned by the `connect function`.

| connection string                 | Connector | description                   |
| :-------------------------------- | :-------: | :---------------------------- |
| `connect("data_store")`           | DataStore | Connects to the buckets       |
| `connect("data_store/my-bucket")` |   Bucket  | Connects to a specific bucket |

Read more about [DataStore and Bucket connectors](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/developers-python-sdk-connect-bucket.md).

## Storage Engines

Projects are linked to **Storage Engines** as main databases to store and query data at the heart of your Project.

A Project can be defined with multiple [datasets](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/lakehouse-manager-datasets.md), but by default you will receive 1 dataset: **default\_dataset**. You can also create custom internal and external datasets.

| connection string                 | Connector | description                                                        |
| :-------------------------------- | :-------: | :----------------------------------------------------------------- |
| `connect("dwh/default_dataset/")` |  Dataset  | Connects to the default dataset - **default\_dataset**             |
| `connect("dwh/exampleDataset/")`  |  Dataset  | Connects to the custom dataset created by you - **exampleDataset** |

Read more about [Database connector](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/developers-python-sdk-connect-dataset.md).

## Query Engine (Trino)

| connection string                             | Connector | description                                        |
| :-------------------------------------------- | :-------: | :------------------------------------------------- |
| `connect("query_engine")`                     |   Trino   | Connects to the query engine (Trino)               |
| `connect(f"query_engine/{catalog}/{schema}")` |   Trino   | Connects directly to a **schema** in a **catalog** |

## Sources

You may also connect to external data sources declared in [Connectors's Sources](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/landing-page-connectors-sources.md). Each external source has an associated **connection string** based on the initial name given to the source.
For instance, a new data source named `My first data` will have the connection string equal to `dwh/my_first_data`.\
The **technical name** is displayed on the main Connectors Source's page.

External sources may be split in a few types:

- **Databases connectors** have same methods as storage engines, see [Database connectores](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/developers-python-sdk-connect-dataset.md#connector-methods)\
  (i.e. Snowflake, PostgreSQL, Oracle, Microsoft SQL Server, Amazon Redshift, MongoDB...)

- **Protocol connectors** when accessing file storage or object store (Data Platform Buckets, Data Platform File Upload, SFTP, Amazon S3<sup>1</sup>, ...)\
  Those connectors have same methods as [Bucket connector](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/developers-python-sdk-connect-bucket.md#bucket-connector-methods)

- **Stream** (i.e. Kafka, MQIT, Amazon Kinesis) or **External APIs** (i.e. Google Analytics, Facebook, Twitter, Mailchimp..)\
  Those connectors are mainly designed to be used from [Connectors Analyzer](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/landing-page-connectors-analyzer.md) and [Data Processing Engine Load Actions](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-actions-load.md).

## 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/de/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/).

1
: S3 is a trademark of Amazon Technologies, Inc. OVHcloud's service is not sponsored by, endorsed by, or otherwise affiliated with Amazon Technologies, Inc.