---
description: Detailed reviews on Enterprise Test Data based on features, pricing, usability, and ratings. Get a quick overview advantages and disadvantages. Compare Enterprise Test Data with similar products.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png
title: Enterprise Test Data Reviews, Prices & Ratings | GetApp Canada 2026
---

Breadcrumb: [Home](/) > [Database Monitoring Software](/directory/1703/database-monitoring/software) > [Enterprise Test Data](/software/2048103/test-data-automation)

# Enterprise Test Data

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> AI-powered. End-to-end. Your complete test data management platform. Simplify complex application landscapes and provide confidence and clarity at every step of your test data management journey.
> 
> Verdict: Rated **4.5/5** by 28 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Key benefits of Enterprise Test Data

1\. Build data understanding: Build a complete picture of your data landscape, bringing thousands of data sources into a single view, fostering effective test data management strategies.&#10;&#10;2. Avoid compliance risks: Take advantage of advanced masking and data generation capabilities to avoid the spread of PII, mitigating the risk of costly data breaches and fines.&#10;&#10;3. Ensure AI readiness: Deliver vast, high-quality, and diverse datasets that can support AI initiatives, and help your organisation confidently fuel AI training and validation.&#10;&#10;4. A proactive approach: Move from reactive slow test data delivery, to advanced, AI powered insights, actions, and delivery, while removing clashes and constraints.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.5/5** | 28 Reviews |
| Ease of Use | 4.3/5 | Based on overall reviews |
| Customer Support Software | 4.5/5 | Based on overall reviews |
| Value for Money | 4.5/5 | Based on overall reviews |
| Features | 4.5/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Curiosity Software Ireland
- **Location**: Bray, Ireland
- **Founded**: 2017

## Commercial Context

- **Pricing model**: Per Feature
- **Pricing Details**: Please contact Curiosity Software Ireland for pricing details.
- **Target Audience**: 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based, Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise)
- **Supported Languages**: English
- **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 208 more

## Features

- AI/Machine Learning
- API
- Access Controls/Permissions
- Activity Dashboard
- Activity Tracking
- Ad hoc Analysis
- Ad hoc Query
- Alerts/Notifications
- Automatic Backup
- Backup and Recovery
- Collaboration Tools
- Compliance Management
- Contextual Search
- Customizable Reports
- Dashboard Creation
- Dashboard Software
- Data Aggregation and Publishing
- Data Analysis Tools
- Data Capture and Transfer
- Data Connectors

## Integrations (113 total)

- 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

... and 98 more integrations

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base Software
- Phone Support
- Chat

## Category

- [Database Monitoring Software](https://www.getapp.ca/directory/1703/database-monitoring/software)

## Related Categories

- [Database Monitoring Software](https://www.getapp.ca/directory/1703/database-monitoring/software)
- [Data Catalog Tools](https://www.getapp.ca/directory/3857/data-catalog/software)
- [Database Software](https://www.getapp.ca/directory/459/database/software)
- [Data Analysis Software](https://www.getapp.ca/directory/1129/data-analysis/software)
- [Data Extraction Software](https://www.getapp.ca/directory/1157/data-extraction/software)

## Alternatives

1. [SAS Viya](https://www.getapp.ca/software/2065099/sas-viya) — 4.4/5 (12 reviews)
2. [Vantage](https://www.getapp.ca/software/2056957/teradata-database) — 4.3/5 (25 reviews)
3. [Tableau](https://www.getapp.ca/software/90797/tableau-software) — 4.6/5 (2348 reviews)
4. [AWS for Data](https://www.getapp.ca/software/2056671/aws-cloud-databases) — 4.9/5 (7 reviews)
5. [Google Cloud](https://www.getapp.ca/software/122483/google-cloud-platform) — 4.7/5 (2262 reviews)

## Reviews

### "Integration with difficult to access mainframe resources" — 5.0/5

> **John** | *December 31, 2019* | Information Technology & Services | Recommendation rating: 9.0/10
> 
> **Pros**: 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.
> 
> **Cons**: 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.

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### "The Software you Need to Test your Business IT Systems" — 5.0/5

> **Albert** | *November 28, 2022* | Arts & Crafts | Recommendation rating: 7.0/10
> 
> **Pros**: 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.
> 
> **Cons**: 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.

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### "Video Tutorial" — 3.0/5

> **Jerome** | *March 22, 2019* | Information Technology & Services | Recommendation rating: 5.0/10
> 
> **Pros**: 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..&#10;&#10;Total I would rate this VIP to 3/5
> 
> **Cons**: Must have all videos with full set like how to add test data.&#10;&#10;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

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### "Ultimate Toolkit for Intelligent Automation (AIOps) / GATED AI testing" — 5.0/5

> **Jonathon** | *April 16, 2019* | Retail | Recommendation rating: 10.0/10
> 
> **Pros**: 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 \&amp; deployment (i.e. Jenkins CI/CD) and ChatOps toolchains (i.e. Slack).
> 
> **Cons**: 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.&#10;&#10;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** | *January 29, 2021* | Insurance Software | Recommendation rating: 10.0/10
> 
> **Pros**: Visual modelling generally reveals more test cases by showing which paths through the system under test are being visited. &#10;Testers and other stakeholders can easily do the modelling while engineers overlay the automation.&#10;Complex applications can be broken down to manageable models in a hierarchy&#10;Great connectivity to test frameworks and other applications.
> 
> **Cons**: 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.

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## Links

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