Best Test Data Management Tools for Azure DevOps Labs

Compare the Top Test Data Management Tools that integrate with Azure DevOps Labs as of May 2026

This a list of Test Data Management tools that integrate with Azure DevOps Labs. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps Labs. View the products that work with Azure DevOps Labs in the table below.

What are Test Data Management Tools for Azure DevOps Labs?

Test data management tools enable IT professionals and developers to create non-production test data that simulates real company data in order to reliably test applications and systems with data that's similar to production data. Compare and read user reviews of the best Test Data Management tools for Azure DevOps Labs currently available using the table below. This list is updated regularly.

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    Parasoft

    Parasoft

    Parasoft

    "Parasoft delivers an AI‑powered software testing platform that helps organizations continuously release high‑quality software. Our solutions support embedded and enterprise teams by integrating code analysis, testing, virtualization, and coverage into the delivery pipeline to improve security, reliability, and compliance while reducing cost and effort. Parasoft C/C++test provides static analysis, unit testing, code coverage, and requirements traceability for C and C++ applications. It integrates with Eclipse and Visual Studio, supports CI/CD automation, and is TÜV‑certified for safety‑ and security‑critical systems. Parasoft C/C++test CT is a scalable, compliance‑ready solution for C and C++ teams. It integrates into CI/CD workflows, supports open‑source unit testing frameworks, containers, VS Code, Bazel build systems, eliminates IDE dependencies, and is TÜV‑certified for safety‑ and security‑critical development."
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    Starting Price: $35/user/mo
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  • 2
    Redgate SQL Data Generator
    It can instantly provide generators based on table and column names, field length, data types, and other existing constraints. They can be customized to meet your requirements. Create large volumes of data within a couple of clicks in SQL Server Management Studio. Column-intelligent data generation – generate data in one column based on the data in another. Greater flexibility and manual control for creating foreign key data. Shareable custom generators – save regexp and SQL statement generators to share with your team. Write your own custom generators in Python, so you can create any extra data you need. Seeded random data generation allows you to generate the same collection of data every time. Foreign key support for generating consistent data across multiple tables.
    Starting Price: $405 per user per year
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