--- description: Detaillierte Informationen über Enterprise Test Data zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Schweiz. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Enterprise Test Data Kosten, Erfahrungen & Bewertungen - Capterra Schweiz 2026 --- Breadcrumb: [Startseite](/) > [Datenbank-Monitoring-Software](/directory/31775/database-monitoring/software) > [Enterprise Test Data](/software/197661/test-data-automation) # Enterprise Test Data Canonical: https://www.capterra.ch/software/197661/test-data-automation Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.ch/software/197661/test-data-automation?page=2) > Ein hochmodernes Set von TDM-Dienstprogrammen arbeitet zusammen, um genaue Testdaten für jeden Test zu finden, zu erstellen und vorzubereiten. > > Bewertung: **4.5/5** von 28 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet Enterprise Test Data? Betriebsteams bereiten Daten schnell und mit modernen Dienstprogrammen vor. Tester betten dann die wiederverwendbaren Prozesse in automatisierte Tests und CI-/CD-Pipelines ein, während kompatible Testdaten Datenschutzbeauftragten Zuverlässigkeit bieten. ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.5/5** | 28 Nutzerbewertungen | | Bedienkomfort | 4.3/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.5/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.5/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.5/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Curiosity Software Ireland - **Region**: Bray, Irland - **Gegründet**: 2017 ## Gewerblicher Kontext - **Zielgruppe**: 11–50, 51–200, 201–500, 501–1'000, 1'001–5'000, 5'001–10'000, 10'000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise) - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Afghanistan, Albanien, Algerien, Amerikanisch-Samoa, Amerikanische Jungferninseln, Andorra, Angola, Anguilla, Antigua und Barbuda, Argentinien, Armenien, Aruba, Aserbaidschan, Australien, Bahamas, Bahrain, Bangladesch, Barbados, Belarus, Belgien und 208 weitere ## Funktionen - API - Abfrage-Generator - Ad-hoc-Analyse - Alarmfunktion / Benachrichtigungen - Backup und Recovery - Berichterstattung / Analyse - Berichterstattung und Statistik - Beziehungs-Mapping - Bild-Extraktion - Dashboard Software - Dashboard-Erstellung - Data Mapping - Daten-Connectors - Daten-Identifizierung - Daten-Import / -Export - Daten-Profilierung - Datenaggregation und -veröffentlichung - Datenbank-Umwandlung - Datenbank-Unterstützung - Datenerfassung und Übertragung - Datenextraktion - Datenintegration - Datenmigration - Datenreplikation - Datensynchronisation - Datentransformation - Datenvisualisierung - Datenvorbereitung in Selbstbedienung - Dokumentenextraktion - E-Mail-Adressen extrahieren - ETL - Extract Transfer Load - Erkennung sensibler Daten - KI/Maschinelles Lernen - Mehrfache Datenquellen - Metadata-Management - Preisermittlung-Extraktion - Prädiktive Analytik - Publishing/Sharing - Self-Service-Analysen - Suchen / filtern - Telefonnummer-Extraktion - Unterstützt zahlreiche Programmiersprachen - Visuelle Analytik - Web-Datenextraktion - Werkzeuge zur Zusammenarbeit - Zugriffskontrollen / Berechtigungen ## Integrationen (113 insgesamt) - ADP DataCloud - Adobe Commerce - Airtable - Amazon DynamoDB - Amazon S3 - Apache JMeter - Apache Kafka - Appium - Applitools - Asana - Avalara - Azure Active Directory External Identities - Azure Data Catalog - Azure DevOps Server - Azure Synapse Analytics ... und 98 weitere Integrationen ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - Chat ## Category - [Datenbank-Monitoring-Software](https://www.capterra.ch/directory/31775/database-monitoring/software) ## Ähnliche Kategorien - [Datenbank-Monitoring-Software](https://www.capterra.ch/directory/31775/database-monitoring/software) - [Datenkatalog-Software](https://www.capterra.ch/directory/33716/data-catalog/software) - [Data Extraction Software](https://www.capterra.ch/directory/30619/data-extraction/software) - [Stammdatenmanagement Tools (Master Data Management)](https://www.capterra.ch/directory/31019/master-data-management/software) - [Datenanalyse Tools](https://www.capterra.ch/directory/31077/data-analysis/software) ## Alternativen 1. [Vantage](https://www.capterra.ch/software/133231/teradata-database) — 4.3/5 (25 reviews) 2. [Tableau](https://www.capterra.ch/software/77260/tableau) — 4.6/5 (2348 reviews) 3. [AWS for Data](https://www.capterra.ch/software/1029723/aws-cloud-databases) — 4.9/5 (7 reviews) 4. [SAS Viya](https://www.capterra.ch/software/1043140/sas-viya) — 4.4/5 (12 reviews) 5. [Google Cloud](https://www.capterra.ch/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) ## Nutzerbewertungen ### "Integration with difficult to access mainframe resources" — 5.0/5 > **John** | *31. Dezember 2019* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: We found the software extremely flexible in allowing us to set up various techniques to automate our data generation. In fact we couldn't find a use case that we couldn't manage to cover. While the access to standard data sources was great, what most impressed us was the ability to access difficult mainframe data sources such as VSAM, IMS and DB2 and we were even able to generate data into a CICS program and an MQ queue. We haven't seen that flexibility with other software. > > **Nachteile**: It was a little finicky to get up and runing in house but with excellent support, we got there \! > > With the advent of GDPR within the EU it's imperative that we clean up our datasets and this tool which generates functionally and logically accurate data which represents no real person is ideal for this and particularly on our mainframe systems. ----- ### "The Software you Need to Test your Business IT Systems" — 5.0/5 > **Albert** | *28. November 2022* | Kunst & Handwerk | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: The IT system of our organization has been one of our greatest capital investment. Before going live with this new system, we decided to implement Test Modeller to test the effectiveness of the system and we are grateful that we did so as the software was able to detect certain problems, bugs and errors that were present in the system which would have caused a lot of problems if we had implemented it without testing it. We recommend Test Modeller to any business. > > **Nachteile**: A small suggestion would be for the software to have a more informative user manual to understand how the software really works as it may be a bit overwhelming for a person with a lack of IT knowledge. > > The experience has been great. The software has helped us test our new system which we implemented and it was very effective in detecting problems. ----- ### "Video Tutorial" — 3.0/5 > **Jerome** | *22. März 2019* | Informationstechnologie & -dienste | Empfehlungsbewertung: 5.0/10 > > **Vorteile**: It seems good to watch this video tutorial. Its easy way to under stand the flow like how to create and how to map the values etc.. Total I would rate this VIP to 3/5 > > **Nachteile**: Must have all videos with full set like how to add test data. for instance: I have tried to create an automates script with this modular with the help of the video and one point I have created and mapped the variable and generated the script. but we don't know how to run. late we became to know to use the server but we didn't see the such a explanation from the videos. we would suggest to explain with set of video. > > fine ----- ### "Ultimate Toolkit for Intelligent Automation (AIOps) / GATED AI testing" — 5.0/5 > **Jonathon** | *16. April 2019* | Einzelhandel | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: Ease of use, SaaS based modelling (MBT) capabilities, powerful robotic process automation (RPA), synthetic data generation across the platform, automatic generation of functional / non-functional artefacts (e.g. selenium, restassured, taurus, wiremock), extensive support for continuous delivery \& deployment (i.e. Jenkins CI/CD) and ChatOps toolchains (i.e. Slack). > > **Nachteile**: Lack of current support for container technologies (i.e. docker) > > After evaluating a number of different tool vendors, Volo.ai selected Curiosity software as they provide next generation capabilities that leading vendors (i.e. Magic Quadrant) was unable to provide our landscape is testing next generation A.I platforms (e.g. Neo4J, OpenCV, Kafka / Zookeeper, MongoDB, VectorFlow) which other vendors had limited native support for any of these technologies. The ability to generate A.I. ready test data lakes to help train and prove our algorithms and the ability to provide test data coverage and built in code dependency analysis was a game changer. ----- ### "Outstanding tool for test automation" — 5.0/5 > **Tord** | *29. Januar 2021* | Versicherung | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: Visual modelling generally reveals more test cases by showing which paths through the system under test are being visited. Testers and other stakeholders can easily do the modelling while engineers overlay the automation. Complex applications can be broken down to manageable models in a hierarchy Great connectivity to test frameworks and other applications. > > **Nachteile**: Some of our requirements (Cypress, Docker) gave some challenges, but with very good support from the vendor it all came to work well. > > TestModeller is an outstanding tool for test automation and test data management. We have run a PoC for 6 months using an on-premise installation (in Azure), utilizing the Cypress framework. Tests are run in docker containers when generated from TestModeller and updated to Gitlab. Also, the ability to separate models and generated tests from the functional representation of the elements in the system under test, enables us to generate tests even before code is written to implement an element in the DOM for in-sprint testing. This of course also eliminates the extensive maintenance you normally must conduct to test automation frameworks. ----- Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.ch/software/197661/test-data-automation?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.ch/software/197661/test-data-automation) ## 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 | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pl | | | pt | | | pt-PT | | | sv | | ----- ## Strukturierte Daten