--- description: Detaillierte Informationen über DataRocket zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: DataRocket Erfahrungen, Vor- und Nachteile – Capterra Deutschland 2026 --- Breadcrumb: [Startseite](/) > [Stammdatenmanagement Tools (Master Data Management)](/directory/31019/master-data-management/software) > [DataRocket](/software/176838/datarocket) # DataRocket Canonical: https://www.capterra.com.de/software/176838/datarocket Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/176838/datarocket?page=2) > DataRocket ist eine Multi-Domain-Stammdatenmanagement-Software zur Verbesserung und nachhaltigen Sicherung der Datenqualität. > > Bewertung: **4.3/5** von 6 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet DataRocket? Alle Branchen; Unternehmen ab 500 Mitarbeiter. ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.3/5** | 6 Nutzerbewertungen | | Bedienkomfort | 4.5/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.7/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.6/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.3/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: innoscale AG - **Region**: Berlin, Deutschland - **Gegründet**: 2013 ## Gewerblicher Kontext - **Startpreis**: 1,00 $ - **Zielgruppe**: 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Linux (Desktop) - **Unterstützte Sprachen**: Deutsch, Englisch - **Verfügbare Länder**: Deutschland ## Funktionen - Adressen-Validierung - Berichterstattung / Analyse - Beziehungs-Mapping - Data-Governance - Daten-Connectors - Daten-Identifizierung - Daten-Profilierung - Datenbereinigung - Datentransformation - Datenvisualisierung - Duplizierte Erkennung - Match & Merge - Mehrfache Datenquellen - Metadata-Management - Stammdatenverwaltung - Zugriffskontrollen / Berechtigungen ## Integrationen (6 insgesamt) - Confluence - Jira - Microsoft Excel - SAP Business One - Salesforce Sales Cloud - SugarCRM ## Optionen für Kundensupport - E-Mail/Helpdesk - Wissensdatenbank - Telefon-Support - Chat ## Category - [Stammdatenmanagement Tools (Master Data Management)](https://www.capterra.com.de/directory/31019/master-data-management/software) ## Ähnliche Kategorien - [Stammdatenmanagement Tools (Master Data Management)](https://www.capterra.com.de/directory/31019/master-data-management/software) - [Data Quality Tools](https://www.capterra.com.de/directory/31126/data-quality/software) ## Alternativen 1. [Cognism](https://www.capterra.com.de/software/169083/cognism) — 4.7/5 (255 reviews) 2. [Smarty](https://www.capterra.com.de/software/1058580/smarty) — 4.9/5 (91 reviews) 3. [Byteplant Phone Validator](https://www.capterra.com.de/software/214988/phone-validator) — 4.8/5 (17 reviews) 4. [Byteplant Address Validator](https://www.capterra.com.de/software/214987/address-validator) — 4.5/5 (19 reviews) 5. [Cority](https://www.capterra.com.de/software/102848/ehs-management-software) — 4.4/5 (106 reviews) ## Nutzerbewertungen ### "Thank you for a good, now already two-year partnership" — 4.0/5 > **Manfred** | *18. Juni 2019* | Baumaterial | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: - 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 > > **Nachteile**: - 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. Juli 2019* | Bankwesen | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: - easy to use and learn - modern and simple UI > > **Nachteile**: - Performance Issues ----- ### "A smart way to analyse data and increase dataquality" — 4.0/5 > **Lutz** | *3. Juli 2019* | Maschinerie | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: - You can quickly create evaluations and diagrams. - Change the diagram type with one click. - Modular, understandable workflow through pipline concept. > > **Nachteile**: - 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. November 2019* | Buchhaltung | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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 > > **Nachteile**: 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. Juni 2019* | Großhandel | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: DataRocket is a good solution for our data management. It helped us to immensely improve our data quality. > > **Nachteile**: No cons experienced so far. We are very happy with DataRocket. ----- Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/176838/datarocket?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.com.de/software/176838/datarocket) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | ----- ## Strukturierte Daten