--- description: DataRocket : qu'en pensent les utilisateurs ? Lisez les avis sur DataRocket, consultez ses différents prix, tarifs et abonnements ainsi que ses fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: DataRocket - Prix, tarif, abonnement et avis | GetApp France 2026 --- Breadcrumb: [Accueil](/) > [Logiciels MDM (Master Data Management)](/directory/1159/master-data-management/software) > [DataRocket](/software/127503/datarocket) # DataRocket Canonical: https://www.getapp.fr/software/127503/datarocket Page : 1/2\ Suivant: [Page suivante](https://www.getapp.fr/software/127503/datarocket?page=2) > DataRocket est une solution MDM (Master Data Management) multidomaine basée sur le cloud qui aide les organisations à maintenir la qualité des données et à rationaliser le partage de données dans plusieurs services. Les fonctionnalités clés comprennent : nettoyage des données, pistes d'audit, gestion des flux de travail, analyse et reporting. > > Conclusion : 6 utilisateurs lui ont donné la note de **4.3/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.3/5** | 6 Avis | | Simplicité d’utilisation | 4.5/5 | D'après l'ensemble des avis | | Support client | 4.7/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.6/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.3/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: innoscale AG - **Pays**: Berlin, Allemagne - **Entreprise fondée en**: 2013 ## Contexte commercial - **Prix à partir de**: 1,00 $US - **Public cible**: 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Cloud, SaaS, web, Linux (ordinateur) - **Langues**: allemand, anglais - **Pays disponibles**: Allemagne ## Fonctionnalités - API - Alertes/Notifications - Analyse visuelle - Authentification unique - Autorisations basées sur les rôles - Cartographie des relations - Connecteurs de données - Contrôle de qualité des données - Contrôles/Permissions d'accès - Correspondance et fusion - Data discovery - Domaines multiples - Détection de doublons - Extraction d'adresses e-mail - Extraction de données - Fonction de glisser-déposer - Gestion de la hiérarchie - Gestion des flux de travail - Gestion des métadonnées - Gestion des processus ## Intégrations (6 au total) - Confluence - Jira - Microsoft Excel - SAP Business One - Salesforce Sales Cloud - SugarCRM ## Ressources d'aide - Service client/e-mail - Base de connaissances - Support téléphonique - Chat ## Category - [Logiciels MDM (Master Data Management)](https://www.getapp.fr/directory/1159/master-data-management/software) ## Catégories connexes - [Logiciels MDM (Master Data Management)](https://www.getapp.fr/directory/1159/master-data-management/software) - [Logiciels de qualité des données](https://www.getapp.fr/directory/1337/data-quality/software) ## Logiciels similaires 1. 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[Sales Layer](https://www.getapp.fr/software/113297/sales-layer) — 4.7/5 (99 reviews) ## Avis ### "Thank you for a good, now already two-year partnership" — 4.0/5 > **Manfred** | *18 juin 2019* | Matériaux de construction | Taux de recommandation : 8.0/10 > > **Avantages**: - The structures have been flexibly adapted to our needs - The rules have been defined by us and, if required, drawn up with or by innoscale AG - The fast and competent help, as well as the discussions at eye level helped to build the tool and develop the team - The costs for the system, process support and maintenance are transparent - The connection e.g. to Jira/Confluence was solved well and safely > > **Inconvénients**: - some database requirements are incomprehensible. Although based on a MongoDB, the data is stored relationally in the data model, which leads to restrictions, as the complete advantages of a NO SQL database cannot be realized.. - even if many things are self-explanatory - without your own team with know-how DataRocket makes no sense (which is not a minus for Data Rocket, but should be natural for the operator) > > We used Data Rocket as a data quality tool to connect SAP ERP and EPIM. For this we designed a data model and transferred it to the DataRocket. The data transfer takes place via a HUB. The quality checks were developed by us in cooperation with innoscale AG and the results were transferred to Jira and Confluence. Thus the existing authorization system could be used and only administrators needed the access to DataRocket directly. Since each KeyUser developed the rule for his area and is responsible for it, the acceptance of the system is high. This also applies to management KPIs. The cooperation with the employees of innoscale AG is characterized by a high level of personal commitment which makes it easy to discuss change requests. The costs for the system, the process preparation, the special requests for layouts and maintenance are very transparent. I am pleased to have set up, completed and published an excellent data quality project with the capable employees of innoscale AG. ----- ### "DataRocket review" — 4.0/5 > **Timo** | *2 juillet 2019* | Banque | Taux de recommandation : 7.0/10 > > **Avantages**: - easy to use and learn - modern and simple UI > > **Inconvénients**: - Performance Issues ----- ### "A smart way to analyse data and increase dataquality" — 4.0/5 > **Lutz** | *3 juillet 2019* | Machines | Taux de recommandation : 7.0/10 > > **Avantages**: - You can quickly create evaluations and diagrams. - Change the diagram type with one click. - Modular, understandable workflow through pipline concept. > > **Inconvénients**: - More complex evaluations require the support of innoscale, training and learning-by-doing at the beginning. - More flexibility in the presentation of charts a la Excel would be desirable. > > We create data controls to check data quality. These are automatically exported from SAP/R3, analyzed by Data Rocket and displayed in the Intranet (Sharepoint). ----- ### "Great service" — 5.0/5 > **Pavneet Kaur** | *19 novembre 2019* | Comptabilité | Taux de recommandation : 9.0/10 > > **Avantages**: The software is great and helps in simplifying my work every day. I highly recommend it to my team and other teams within my company > > **Inconvénients**: Nothing i can think of\! It is a great software\!\! However, the customer support team could be better > > The software has helped the analytics team for gaining intelligence on customer's behaviours and helps to better serve our clients ----- ### "DataRocket launch the future" — 5.0/5 > **Maximilian** | *26 juin 2019* | Vente en gros | Taux de recommandation : 9.0/10 > > **Avantages**: DataRocket is a good solution for our data management. It helped us to immensely improve our data quality. > > **Inconvénients**: No cons experienced so far. We are very happy with DataRocket. ----- Page : 1/2\ Suivant: [Page suivante](https://www.getapp.fr/software/127503/datarocket?page=2) ## Liens - [Afficher sur GetApp](https://www.getapp.fr/software/127503/datarocket) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | | nl | | | nl-BE | | ----- ## Données structurées