For AI agents: the complete documentation index is available at https://docs.dataplatform.ovh.net/llms.txt, the full documentation bundle is available at https://docs.dataplatform.ovh.net/llms-full.txt, and this page is available as Markdown at https://docs.dataplatform.ovh.net/landing-page-connectors-sources.md.
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    • Connector sources

    Register once, then load, analyze and export from it.

    What is a source?

    A source is a registered connection to an external system: the credentials, the network access, and the set of objects that system exposes. Registering a source moves no data. It records how to reach the system, so the Analyzer can inspect it and the Data Processing Engine can load from it later.

    Sources are chosen from the connector Store, which carries connectors for file storage systems, database engines, network protocols, streaming and IoT brokers, social platforms and analytics tools. Around twenty of them have their own guide covering the fields and permissions that connector needs. The rest follow the same configuration pattern.

    Two paths open once a source is registered. The usual one imports a copy of the data into the project, by creating and loading a table. The alternative, available on a subset of connectors, marks the source as directly queryable so the Analytics Manager runs SQL against it in place, with no copy held on the platform.

    Sources are organized in folders. Registering credentials is deliberately separate from analyzing and loading the data, so the two can sit with different teams and different IAM roles.

    Learn how to configure your connector

    Configure your connector→

    The shared configuration flow, plus the IP address to allow-list.

    OVHcloud API→

    Collect data from the OVHcloud REST API.

    Apache Kafka→

    Stream events from an Apache Kafka topic.

    Data Platform Buckets→

    Use files stored in your project's own buckets.

    Dropbox→

    Collect files shared on a Dropbox account.

    Facebook→

    Collect page insights: likes, views and comments.

    FHIR→

    Collect healthcare data from an HL7 FHIR R4 server.

    File Upload→

    Upload your own files as a source.

    FTP→

    Collect files from an FTP server.

    Google Analytics→

    Collect audience and behaviour data from GA4.

    HTTP Files→

    Import files published at a URL over HTTP.

    HTTP REST→

    Query any compatible REST API and import the result.

    HubSpot→

    Extract CRM, marketing and CMS objects from HubSpot.

    Microsoft Azure Blob Storage→

    Collect files from Microsoft Azure Blob Storage.

    MySQL→

    Use the tables of a MySQL database as a source.

    Odoo→

    Extract contacts, orders, invoices and more from Odoo.

    Salesforce→

    Extract standard and custom objects from Salesforce.

    SFTP→

    Collect files from an SFTP server.

    Shopify→

    Extract products, customers and orders from Shopify.

    SQL Server→

    Use the tables of a SQL Server database as a source.

    Stripe→

    Extract customers, charges and subscriptions from Stripe.

    Trino→

    Query external data sources through Trino.

    Twitter→

    Consolidate insights from a given X account.

    Go further

    If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link 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.

    If you need support with your OVHcloud services, create a request in our Help Centre.

    Join our community of users.