--- description: Scopri le funzionalità di Enterprise Test Data, i dettagli del prodotto, chi utilizza il software e quali sono i prodotti suggeriti. Attraverso le recensioni di utenti verificati potrai capire com’è la user experience, l’assistenza post-vendita e molto altro. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Enterprise Test Data - Prezzi, recensioni, informazioni - Capterra Italia 2026 --- Breadcrumb: [Home](/) > [Software per il monitoraggio del database](/directory/31775/database-monitoring/software) > [Enterprise Test Data](/software/197661/test-data-automation) # Enterprise Test Data Canonical: https://www.capterra.it/software/197661/test-data-automation Pagina: 1/2\ Avanti: [Pagina successiva](https://www.capterra.it/software/197661/test-data-automation?page=2) > Un insieme di utility TDM all'avanguardia che si combinano per trovare, creare e preparare dati di test accurati per ogni singolo test. > > Conclusione: valutazione di **4.5/5** stelle assegnate da 28 utenti. Miglior punteggio per il parametro **Lo consiglieresti?**. ----- ## Panoramica ### Chi utilizza Enterprise Test Data? I team operativi possono preparare rapidamente i dati utilizzando utility all'avanguardia. Gli addetti ai test incorporano quindi i processi riutilizzabili nei test automatizzati e nelle pipeline CI/CD, mentre dati di test conformi offrono tranquillità ai responsabili della protezione dei dati (Data Protection Officer, DPO). ## Statistiche e valutazioni | Parametro | Valutazione | Dettaglio | | **Nel complesso** | **4.5/5** | 28 Recensioni | | Facilità d'uso | 4.3/5 | Sulla base delle recensioni complessive | | Assistenza clienti | 4.5/5 | Sulla base delle recensioni complessive | | Rapporto qualità-prezzo | 4.5/5 | Sulla base delle recensioni complessive | | Funzionalità | 4.5/5 | Sulla base delle recensioni complessive | | Percentuale di raccomandazione | 90% | (9/10 Lo consiglieresti?) | ## Informazioni sul fornitore - **Azienda**: Curiosity Software Ireland - **Area geografica**: Bray, Irlanda - **Anno di fondazione**: 2017 ## Contesto commerciale - **Pubblico target**: 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Implementazione e piattaforme**: Cloud, SaaS, Web, Windows (desktop), Linux (desktop), Windows (locale), Linux (locale) - **Lingue supportate**: inglese - **Paesi disponibili**: Afghanistan, Albania, Algeria, Andorra, Angola, Anguilla, Antigua e Barbuda, Arabia Saudita, Argentina, Armenia, Aruba, Australia, Austria, Azerbaigian, Bahamas, Bahrein, Bangladesh, Barbados, Belgio, Belize e altri 208 ## Funzionalità - API - Acquisizione e trasferimento di dati - Aggregazione e pubblicazione dei dati - Analisi ad hoc - Analisi predittiva - Analisi visiva - Avvisi/Notifiche - Backup e ripristino - Connettori di dati - Controllo accessi/Autorizzazioni - Conversione del database - Creazione di dashboard - Creazione di profili basati su dati - Creazione di report/analisi - Dashboard - ETL - Extract Transfer Load - Estrapolazione dell'indirizzo e-mail - Estrapolazione di dati - Estrapolazione di dati web - Estrapolazione di immagini - Estrapolazione di numeri di telefono - Estrazione dati su prezzi - Estrazione di documenti - Generatore di query - Gestione di metadati - IA/Machine learning - Importazione/Esportazione di dati - Individuazione dei dati sensibili - Individuazione di dati - Integrazione di dati - Mappatura delle relazioni - Mappatura di dati - Migrazione di dati - Preparazione dati self-service - Publishing/Sharing - Rendicontazione e analisi statistiche - Replica di dati - Ricerca/Filtro - Sincronizzazione di dati - Sorgenti di dati molteplici - Strumenti collaborativi - Strumenti d'analisi self-service - Supporto di più linguaggi di programmazione - Supporto per il database - Trasformazione di dati - Visualizzazione di dati ## Integrazioni (113 in totale) - 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 ... e altre 98 integrazioni ## Opzioni di supporto - Email/Help desk - FAQ/Forum - Knowledge Base - Assistenza telefonica - Chat ## Categoria - [Software per il monitoraggio del database](https://www.capterra.it/directory/31775/database-monitoring/software) ## Categorie correlate - [Software per il monitoraggio del database](https://www.capterra.it/directory/31775/database-monitoring/software) - [Software per catalogo di dati](https://www.capterra.it/directory/33716/data-catalog/software) - [Software per estrazione dati](https://www.capterra.it/directory/30619/data-extraction/software) - [Software per Master Data Management](https://www.capterra.it/directory/31019/master-data-management/software) - [Data analysis software](https://www.capterra.it/directory/31077/data-analysis/software) ## Alternative 1. [Tableau](https://www.capterra.it/software/77260/tableau) — 4.6/5 (2348 reviews) 2. [Google Cloud](https://www.capterra.it/software/170983/google-cloud-platform) — 4.7/5 (2269 reviews) 3. [Adverity](https://www.capterra.it/software/162524/datatap) — 4.5/5 (26 reviews) 4. [Domo](https://www.capterra.it/software/119119/domo) — 4.3/5 (330 reviews) 5. [Zema Enterprise](https://www.capterra.it/software/34708/zema-suite) — 4.4/5 (35 reviews) ## Recensioni ### "Integration with difficult to access mainframe resources" — 5.0/5 > **John** | *31 dicembre 2019* | Servizi e tecnologie dell'informazione | Tasso di raccomandazione: 9.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 novembre 2022* | Artigianato | Tasso di raccomandazione: 7.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 marzo 2019* | Servizi e tecnologie dell'informazione | Tasso di raccomandazione: 5.0/10 > > **Vantaggi**: 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 > > **Inconvenienti**: 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 aprile 2019* | Vendita al dettaglio | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: 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). > > **Inconvenienti**: 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 gennaio 2021* | Assicurazioni | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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. ----- Pagina: 1/2\ Avanti: [Pagina successiva](https://www.capterra.it/software/197661/test-data-automation?page=2) ## Link - [Visualizza su Capterra](https://www.capterra.it/software/197661/test-data-automation) ## Questa pagina è disponibile nelle seguenti lingue | Lingua | 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 | | ----- ## Dati strutturati