Easily create and execute your workflow
Upload a YAML or design your DAG visually, then launch in minutes—no infrastructure to manage, simple or complex.
No more fragile scripts. No more blind spots. Just reliable, observable workflows — in the Console you already use.

Upload a YAML or design your DAG visually, then launch in minutes—no infrastructure to manage, simple or complex.
Create and manage workflows that seamlessly connect to Managed Database, Storage, Compute, and other Serverless services.
Real‑time dashboards, and step logs give instant visibility; set alerts, monitor metrics—all from a single console—to keep workflows running smoothly.
Siloed scripts and spreadsheets bottleneck data flows, causing processing delays, stale insights, missed opportunities, and frustrated teams as you scale.
Siloing pipeline creation to engineers forces business teams to wait, leading to misaligned workflows, frequent errors, and slow adaptation to changing needs.
Custom orchestration systems waste time and resources; as data grows, overhead rises, shifting focus from innovation to maintenance.
Scaleway Data Orchestrator is a fully managed, secure, and scalable workflow automation solution designed to help teams streamline their data operations, eliminate operational overhead, and accelerate time-to-insight — all within a sovereign European cloud environment.

Automate repetitive data tasks, replace fragile scripts with robust and scheduled workflows, and move from manual fixes to delivering business value faster

Break technical barriers—analysts, product owners, and engineers can create, monitor, and manage workflows with role‑based controls, no deep coding required.

Stop patching broken pipelines—Scaleway fully manages the infrastructure so your team can build innovative data products instead of maintaining systems.
Automate model retraining on schedule or data drift
Daily/weekly backups of critical datasets with verification.
Pull and normalize data from SaaS tools (e.g., Stripe, Salesforce).

Visual Workflow Designer
Create complex pipelines with drag‑and‑drop, defining dependencies and logic code‑free.
Workflow as Code
Code pipelines in YAML or Python, version/deploy, and link to CI/CD & Git for reproducible, auditable workflows.
Parallel & Conditional Execution
Run tasks in parallel, set conditional (success/failure) branches, and speed execution with retry policies and error handling.
Flexible Triggers & Scheduling
Trigger pipelines on schedule, on‑demand, or via real‑time events (cron, API, storage, queue) for ETL, batch jobs and validation.
Monitoring & Observability
Track progress, view logs, and see real‑time pipeline execution; add alerts and diagnostics for reliable, fast troubleshooting.
Fully Managed & Integrated
Scaleway Data Orchestrator removes infra hassle, integrates storage, serverless jobs and queues, with auto‑scaling and secure networking.


Orchestration refers to the automated coordination of tasks and workflows to ensure reliable, scalable, and maintainable data operations. In the context of Scaleway Data Orchestrator, it enables users to define, schedule, and manage complex data pipelines—handling dependencies, error recovery, and execution order seamlessly. Instead of manually triggering scripts or monitoring jobs, orchestration brings structure and intelligence, transforming fragmented processes into unified, business-aligned workflows.
Flexibility is key to automation. You can trigger workflows in several ways: