---
description: Dataiku : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités.
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title: Dataiku - Avis, notes, prix et abonnements - Capterra Canada 2026
---

Breadcrumb: [Accueil](/) > [Logiciels d'intelligence artificielle](/directory/30938/artificial-intelligence/software) > [Dataiku](/software/142192/data-science-studio-dss)

# Dataiku

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> Dataiku relie les personnes, les technologies et les processus pour ouvrir une voie rapide, stable et durable à l'IA d'entreprise.
> 
> Conclusion : 13 utilisateurs lui ont donné la note de **4.6/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise Dataiku?

DSS s'adresse à toutes les entreprises, peu importe leur expertise, leur secteur d'activité ou leur taille, qui souhaitent créer leurs propres avantages stratégiques axés sur les données en transformant leurs données brutes en prévisions percutantes.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.6/5** | 13 Avis |
| Simplicité | 4.5/5 | D'après l'ensemble des avis |
| Support client | 4.4/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.3/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.5/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) |

## À propos du vendeur

- **Entreprise**: Dataiku
- **Pays**: Paris France, France
- **Fondé**: 2013

## Contexte commercial

- **À partir de**: 0,01 $ US
- **Type de licence**:  (Version gratuite disponible) (Version d’essai gratuite)
- **Public cible**: 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+
- **Déploiement et plateformes**: Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur)
- **Langues**: allemand, anglais, espagnol, français
- **Pays disponibles**: Allemagne, Australie, Canada, Espagne, France, États-Unis

##  Fonctionnalités

- Analyse en libre-service
- Analyse prédictive
- Analyse statistique
- Automatisation des processus et flux de travail
- Bibliothèque d'algorithmes de ML
- Contrôles/Permissions d'accès
- Data discovery
- Deep learning
- Extraction de données
- Gestion des flux de travail
- Importation et exportation de données
- Modèle de formation
- Modélisation prédictive
- Outils de collaboration
- Rapports et analyses
- Saisie et transfert de données
- Sources de données multiples
- Third-Party Integrations
- Traitement automatique du langage naturel
- Visualisation de données

## Ressources d'aide

- Service client/courriel
- FAQ/forums
- Base de connaissances
- Support téléphonique
- Chat/Clavardage

## Category

- [Logiciels d'intelligence artificielle](https://fr.capterra.ca/directory/30938/artificial-intelligence/software)

## Catégories connexes

- [Logiciels d'intelligence artificielle](https://fr.capterra.ca/directory/30938/artificial-intelligence/software)
- [Logiciels d'analyse de données](https://fr.capterra.ca/directory/31077/data-analysis/software)
- [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software)
- [Outils de big data](https://fr.capterra.ca/directory/30851/big-data/software)
- [Outils de gouvernance de données](https://fr.capterra.ca/directory/30854/data-governance/software)

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4. [SAP Analytics Cloud](https://fr.capterra.ca/software/163200/sap-analytics-cloud) — 4.4/5 (119 reviews)
5. [Rayven](https://fr.capterra.ca/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews)

## Avis

### "Review for Dataiku platform" — 5.0/5

> **Grishma** | *15 mars 2024* | Produits chimiques | Taux de recommandation : 10.0/10
> 
> **Avantages**: The flow in the Dataiku describes the process flow of the project easily. Scenarios and triggers are there for the automation process. Modeling is easier and shows the validations along with the results. Basic Visualizations can also be done in Dataiku.
> 
> **Inconvénients**: Sometimes it has complexity in creating web applications and to integrate with other tools.
> 
> Overall experience is great because it is a good platform for Data Scientists, Data Analysts and Researchers. It has ML and AI functionalities.

-----

### "best for non-technical users to view result of coding" — 4.0/5

> **Terry** | *8 mai 2025* | Exploitation minière et métaux | Taux de recommandation : 8.0/10
> 
> **Avantages**: allow both technical users and non technical users to edit the data with code or simply excel style
> 
> **Inconvénients**: the user interface to add pipelines are a but clunky, it is very easy to create a fat finger error

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### "Great Product for Data Science Enablement" — 4.0/5

> **Utilisateur vérifié** | *30 avril 2022* | Conseil en gestion | Taux de recommandation : 7.0/10
> 
> **Avantages**: The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs
> 
> **Inconvénients**: The least enjoyable expereince of this product has to be the outages that become frequent with each version revision.
> 
> The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised

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### "DataIku is making life easier" — 5.0/5

> **Jaimy** | *14 février 2023* | Marketing et publicité | Taux de recommandation : 8.0/10
> 
> **Avantages**: Truly makes your life and the one of your team easier\! The biggest plus to this program is how over-viewable and de-cluttered. Biggest problem I used to face is having files all over the place, and reports all over the place. Now they can be made more quickly than ever before.
> 
> **Inconvénients**: Personally, the amount of options can be overwhelming. Luckily, Dataiku does offer learning videos on how to use the platform, which I would highly recommend everyone to watch before diving into this platform. However, as mentioned before, it is easy to get lost in the amount of options there are available.

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### "Dataiku - Future of Data Science Platform" — 5.0/5

> **Vivek** | *5 octobre 2021* | Services et technologies de l'information | Taux de recommandation : 10.0/10
> 
> **Avantages**: time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity
> 
> **Inconvénients**: It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc.
> 
> Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support.

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