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Orchestrate your data, visually and in France

A data integration platform powered by Apache Hop, installed and maintained by DINAO. Design your pipelines visually — your flows and data stay on our French servers.

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Overview

What is Apache Hop?

Apache Hop (Hop Orchestration Platform) is an orchestration and data engineering platform designed to facilitate all aspects of data and metadata orchestration. It is an open-source integration platform that is simple, fast, and flexible.

Its visual development makes designers more productive than with code: pipelines and workflows are built in the Hop GUI. Designed once, they can run anywhere — on Hop's native engine (local or remote) or on Spark, Flink, Google Dataflow, or AWS EMR via Apache Beam.

Life cycle management allows developers and administrators to switch between projects, environments, and purposes without losing track. Having become a top-level Apache Foundation project in late 2021, Hop relies on hundreds of ready-to-use transformations and connectors.

Compatible offers

Host Apache Hop at DINAO

Resource tiers compatible with Apache Hop prerequisites (minimum 1 vCPU / 1 Go / 5 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
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
5 Go
ideal : 20 Go
Image : apache/hop-web Registry : docker.io Services : hop-web Ports : 8084:8080
FAQ

You might be wondering…

How does Hop differ from a custom script?

Hop offers visual design, hundreds of ready-to-use transformations, environment management, and execution on multiple engines — much more maintainable than a collection of scripts.

Can I run my pipelines on Spark or Flink?

Yes. Thanks to Apache Beam, the same pipeline designed in Hop can run on the native engine, Spark, Flink, or Google Dataflow, depending on the plan and needs.

Where is the data hosted?

On DINAO's infrastructure in France, in one of the available data centers. Your flows and processed data do not leave the territory.

Do I need technical skills?

Visual design remains accessible, but building robust integrations requires data logic. DINAO handles installation, server, security, and updates.

Are my pipelines locked in with DINAO?

No. Hop metadata are open files, versionable with Git and exportable — no proprietary lock-in.