---
description: Datalore : qu'en pensent les utilisateurs ? Lisez les avis clients sur Datalore, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress
title: Datalore - Avis, notes, prix et abonnements - Capterra Luxembourg 2026
---

Breadcrumb: [Accueil](/) > [Outils de BI](/directory/23/business-intelligence/software) > [Datalore](/software/1023000/datalore)

# Datalore

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> Datalore est une plateforme d'analyse et de visualisation de données collaborative centrée sur le code.
> 
> Conclusion : 8 utilisateurs lui ont donné la note de **4.5/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

-----

## Présentation

### Qui utilise Datalore ?

Datalore Enterprise est conçue pour les équipes de science des données et d'analyse de données qui se concentrent sur Python, SQL, R ou Scala et souhaitent héberger une plateforme de science des données dans un cloud privé ou sur site.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.5/5** | 8 Avis |
| Simplicité | 4.8/5 | D'après l'ensemble des avis |
| Support client | 4.6/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.4/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.4/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) |

## À propos de l'éditeur

- **Société**: JetBrains
- **Fondé**: 2000

## Contexte commercial

- **À partir de**: 35,00 $US
- **Type de licence**:  (Version gratuite disponible) (Essai gratuit)
- **Public cible**: 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+
- **Déploiement et plateformes**: Cloud, SaaS, web, Linux (sur site)
- **Langues**: anglais
- **Pays disponibles**: Allemagne, Australie, Autriche, Belgique, Canada, Corée du Sud, Danemark, Espagne, Estonie, Finlande, France, Grèce, Hongrie, Irlande, Israël, Italie, Japon, Lettonie, Lituanie, Luxembourg et 16 de plus

##  Fonctionnalités

- Analyse des tendances
- Analyse prédictive
- Analyse visuelle
- Connecteurs de données
- Contrôles/Permissions d'accès
- Créateur de requêtes
- Création de tableaux de bord
- Data discovery
- Deep learning
- Découverte en images
- Fonction de glisser-déposer
- Gestion des données
- Gestion des métadonnées
- Importation et exportation de données
- Mesure des performances
- Modèle de formation
- Modèles personnalisables
- Modélisation prédictive
- Outils de collaboration
- Planification stratégique
- Publishing/Sharing
- Rapports ad hoc
- Rapports et analyses
- Rapports et statistiques
- Rapports personnalisables
- Real-Time Analytics
- Real-Time Data
- Recherche/Filtre
- Requête ad hoc
- Saisie et transfert de données
- Scheduled/Automated Reports
- Sources de données multiples
- Tableau de bord
- Tableau de bord personnalisable
- Third-Party Integrations
- Visualisation de données

## Intégrations (24 au total)

- Amazon EKS
- Amazon Redshift
- Amazon S3
- Apache Hive
- Apache Ignite
- Apache Spark
- Azure Synapse Analytics
- CockroachDB
- Exasol
- Firebird
- Google Cloud
- IBM Db2
- IBM Informix
- InterSystems IRIS
- MariaDB

... et 9 intégrations supplémentaires

## Ressources d'aide

- Service client/e-mail
- FAQ/forums
- Chat

## Category

- [Outils de BI](https://www.capterra.lu/directory/23/business-intelligence/software)

## Catégories connexes

- [Outils de BI](https://www.capterra.lu/directory/23/business-intelligence/software)
- [Logiciels d'analyse de données](https://www.capterra.lu/directory/31077/data-analysis/software)
- [Visualisation de données](https://www.capterra.lu/directory/30696/data-visualization/software)
- [Machine learning](https://www.capterra.lu/directory/31103/machine-learning/software)

##  Logiciels similaires

1. [Minitab](https://www.capterra.lu/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews)
2. [Microsoft Power BI](https://www.capterra.lu/software/176586/power-bi) — 4.6/5 (1871 reviews)
3. [Google Analytics 360](https://www.capterra.lu/software/177042/google-analytics) — 4.7/5 (8089 reviews)
4. [Tableau](https://www.capterra.lu/software/77260/tableau) — 4.6/5 (2348 reviews)
5. [Google Cloud](https://www.capterra.lu/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews)

## Avis

### "Our Ops and Data team finally had access to our data" — 4.0/5

> **Daniel Sonny** | *25 juin 2025* | Logiciels | Taux de recommandation : 8.0/10
> 
> **Avantages**: - Easy to start and use&#10;- Nice tool to learn how to query databases and how to use notebook to collect data&#10;- Possibility to use many programming languages and databases
> 
> **Inconvénients**: - No connection to MongoDb&#10;- Compatibility with iPad and Safari to improve&#10;- S3 connection to better document or make easier to setup
> 
> With Datalore we solved the difficulties in data access and discovery from less technical people of our team.

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### "It will help a lot in your company" — 5.0/5

> **Roberto** | *20 avril 2023* | Services financiers | Taux de recommandation : 10.0/10
> 
> **Avantages**: The features i mostly use is being able to schedule your notebooks, saving them in the cloud, being able to share a link to people that can help you in real time and the jetbrains algorithm to help me write my code. These features make my work very easier since I don't have to worry about running the scripts or setting up an airflow server.
> 
> **Inconvénients**: Sometimes the kernel will just bug and you'll have to restart it but it never happens on scheduled notebooks and if it bugs you can always restart it with the click of a button so it's not annoying at all, and it happens very few times.
> 
> I'm very satisfied with the product, always tell about when I meet people that works as data analysts.

-----

### "Good tool but occasionally unreliable" — 4.0/5

> **Vikash** | *16 mars 2023* | Gestion de l'enseignement | Taux de recommandation : 7.0/10
> 
> **Avantages**: Ability to work across windows and mac environments; working in the cloud provides reliability and peace of mind... which is not the case with personal machines.
> 
> **Inconvénients**: I lost data; Looks like, if the size is large, it doesn't back up the data... and there is no way to access it. I did these analysis that took like 30 hours of computing. It was a jsonl file; when I tried to get it into csv format, since the files were so large, it never saved anything. Proved to be a waste of time.
> 
> God, but they need more storage space... and make sure that files over the storage limit can somehow be retrieved even if for a short while.

-----

### "Datalore for myself" — 4.0/5

> **Eli** | *17 mars 2023* | Services et technologies de l'information | Taux de recommandation : 8.0/10
> 
> **Avantages**: Easy to manage python packages, it saves a lot of time
> 
> **Inconvénients**: Fine grade permission management on sharing notebooks and reports, I think most enterprise companies require this
> 
> It is good, especially for package management and reporting

-----

### "It will help your academic research" — 5.0/5

> **Kristóf** | *4 avril 2025* | Logiciels | Taux de recommandation : 8.0/10
> 
> **Avantages**: Really easy and intuitive environment. Works across all environments (Windows, Mac, Linux) Easy integration with other tools.
> 
> **Inconvénients**: Sometimes there are small bugs, and you must restart the kernel, especially if you are using it to heavy duty model training.
> 
> I have been using Datalore for 2 years now for academic purposes. I strongly believe that it is a game-changer\! It made my research easy. I normally do not like to use remote machines, but this tool has really helped me to create what was in my mind\!

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## Liens

- [Afficher sur Capterra](https://www.capterra.lu/software/1023000/datalore)

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