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/index.md.
  • 🇬🇧 English

    • Data Platform

    One project, from first source to running application.

    What is Data Platform?

    Data Platform is a managed platform for building data products, with the infrastructure decisions already made: there is no cluster to size, no orchestrator to run and no deployment pipeline to build. Connecting sources, storing and modelling data, processing it, analyzing it and exposing the result as an API or an application are all provisioned and operated by the platform, behind four levels of automation, so effort goes into business logic rather than logistics.

    The four levels of automation

    A project is the unit of work and the unit of isolation. It holds the sources, tables, buckets, pipelines, queries, dashboards, APIs and apps that make up one data system, together with the access rules over them. Creating a project deploys more than 60 microservices and provisions machines in the selected cloud region in under eight minutes, with no further input.

    Info

    Access to a project is usually shared collaboratively along role lines: one group works on ingestion and transformation, another on analytics, another on the application layer. The Identity Access Manager decides who can read and change what, down to individual table attributes.

    If Data Platform is new to you, the fastest way in is the six-step guide that builds a working application on sample data. From there, the services documentation covers each component in the order data moves through it.

    Getting started→

    Build a first end-to-end application in six steps.

    Tutorials→

    Complete worked use cases, from Kafka to Superset.

    Services→

    The seven services a project is made of, in data order.

    Developers→

    Public APIs and the SDKs behind them.

    Manage your platform→

    Organizations, projects, pricing and finding your way around.

    Go further

    For training or technical assistance implementing our solutions, contact your sales representative or visit our Professional Services page to request a quote and have your project analysed by our experts.

    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.