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Your data pipelines, orchestrated and sovereign

Control your Python workflows with full observability, on a Prefect instance installed and monitored by DINAO, hosted in France : your data and your orchestration never leave the country.

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Hosted in FranceGDPR CompliantNative PythonFull ObservabilityVerified publisher
Overview

What is Prefect?

Prefect is an open-source workflow orchestration framework written in Python, designed to build resilient data pipelines. It allows you to transform simple Python scripts into robust workflows using @flow and @task decorators, without major rewriting of existing code.

Its engine natively handles retries, timeouts, error recovery, concurrent execution, and scheduling (cron or event-driven). The dashboard provides complete observability : status of each task, logs, execution times, and dependency graphs in real time.

Used for both ETL and machine learning pipelines, Prefect integrates with a wide ecosystem (databases, S3, dbt, cloud warehouses). The core engine is released under the Apache 2.0 license, ensuring no proprietary lock-in and full portability of your workflows.

Compatible offers

Host Prefect at DINAO

Resource tiers compatible with Prefect prerequisites (minimum 1 vCPU / 1 Go / 10 Go). Hosted in France, fully managed.

Découverte
1 vCPU · 2 Go · 20 Go
9,90 € /month excl. VAT
  • 1 dedicated vCPU
  • 2 Go RAM
  • 20 GB NVMe
  • Daily backups
  • Managed & monitored by DINAO
Order
★ Recommended for this app
Standard
2 vCPU · 4 Go · 40 Go
19,90 € /month excl. VAT
  • 2 dedicated vCPU
  • 4 Go RAM
  • 40 GB NVMe
  • Daily backups
  • Managed & monitored by DINAO
Order
Performance
4 vCPU · 8 Go · 80 Go
39,90 € /month excl. VAT
  • 4 dedicated vCPU
  • 8 Go RAM
  • 80 GB NVMe
  • Daily backups
  • Managed & monitored by DINAO
Order
Dédié
8 vCPU · 16 Go · 160 Go
79,90 € /month excl. VAT
  • 8 dedicated vCPU
  • 16 Go RAM
  • 160 GB NVMe
  • Daily backups
  • Managed & monitored by DINAO
Order
Under the hood

Technical details

vCPU
1 vCPU
ideal : 2 vCPU
Memory
1 Go
ideal : 4 Go
Disk
10 Go
ideal : 30 Go
Image : prefecthq/prefect:3-latest Registry : docker.io Services : server, database Ports : 4200
FAQ

You might be wondering…

Do my pipeline data remain private?

Yes. Your Prefect instance is isolated in a dedicated container, and no data is shared with third parties. Unlike Prefect Cloud, nothing passes through the publisher's US servers.

Where is my Prefect instance hosted?

In our datacenter located in Marseille, France. Your data and orchestration remain on national territory, outside the scope of the Cloud Act, in compliance with GDPR.

Do I need technical skills to use it?

You need to know how to write Python to define your workflows, but all infrastructure aspects (installation, workers, updates, backups) are handled by DINAO. No system administration skills are required on your side.

Can I change plans or export my data?

Yes. You can upgrade or downgrade plans at any time based on your workload. Since Prefect is open-source, your Python flows and data are fully exportable, with no proprietary lock-in.

Can Prefect orchestrate my machine learning pipelines?

Absolutely. Prefect is widely used for ML pipelines (ingestion, training, model deployment) as well as classic ETL. Any process expressible in Python can become an orchestrated and observable flow.