10 Mejores Herramientas de Gestión de Datos de Prueba Analizadas para 2026

QA Wolf is an end-to-end testing automation service that supports organizations with an expert team of QA engineers to write, run, and repeat all your critical tests. Their White Glove testing services provide organizations with resources to reduce the burden of in-house QA teams.

Their team performs bug testing by running tests, investigating failures, and writing up an issue report with repro steps, a video recording, logs, and any other data you need. You can log into their testing platform to view progress at any time or wait for a scheduled review session. 

Key services they offer include end-to-end test coverage, a comprehensive test plan strategy, failure triaging and test maintenance, high-quality bug reports, fast parallel test run infrastructure, and an easy-to-use app for real-time status updates. QA Wolf's team integrates natively with tools like Jira, Stripe, Salesforce, email providers, Auth0, SMS, Github, and even more options through a flexible API so they can support your platform's testing needs holistically.

New Relic is an observability platform that provides monitoring, debugging, and performance improvement capabilities for technology stacks. Its comprehensive observability is underscored by a suite of over 30 capabilities and 700+ integrations, along with AI-powered features like New Relic AI and AIOps, positioning it as a leading solution in the market for businesses aiming to enhance their digital customer experience.

I chose New Relic as a tool for test data management due to its extensive capabilities and the breadth of integrations it offers, which are essential for a comprehensive approach to managing and analyzing test data. What makes New Relic different is its AI-powered platform that encompasses over 30 capabilities, including application performance monitoring (APM), digital experience, and infrastructure monitoring, which can be crucial for understanding the performance of software under test conditions.

New Relic Infrastructure offers a suite of features aimed at providing a detailed view of host ecosystems and their health. The Live-state Event Feed displays real-time updates on environmental changes, while Configurable Alerts enable proactive issue management. Inventory Change Tracking gives insights into software package installations and updates.

The platform integrates with AWS, Google Cloud, Microsoft Azure, Jenkins, CircleCI, Travis CI, and Slack. It also has an API you can use to build custom integrations.

New Relic costs from $49/user/month and has a free version available with feature limitations.

The K2View Test Data Management solution quickly provisions test data subsets from production sources with referential integrity, regardless of the number of systems, their respective technologies, and the number of testing environments. The solution can be embedded in a DevOps CI/CD pipeline, enabling Shift-Left Testing.

Testers use the solution’s self-service portal to define their desired test data sets. For example, a tester could request to provision test data related to 200 customers in a certain zip code, with 2 or more children, and an outstanding debt greater than a specific amount.

In-flight data masking protects sensitive PII data before it is delivered. Other features include synthetic test data manufacturing with referential integrity, roll-back test data version, reserve test data subsets for specific testers, and more.

Admins and testers use the web-based GUI to schedule test data requests, track execution status, results, and more.

Contact the K2View team via the website for a free demo or POC.

Tricentis’s qTest module is designed to centralize and organize software testing throughout the development lifecycle. The tool allows you to reach automation rates of 90% end-to-end, freeing up some testing time for your team. Tricentis is easy to implement within your workflow, and offers online courses to assist in the training of your team. Tricentis provides the ability to create automated test cases with no scripting involved, which allows any member of your team to write test cases. The tool is used for both UI and API automation, which means all bases of your development lifecycle are covered. Tricentris is CI/CD supported, and provides cross browser support.Tricentris integrates with tools such as Azure, Jenkins, Jira and Cucumber. Tricentris offers customized pricing upon request. The tool also offers a free trial.

Informatica’s test data product is designed to provide development teams with the data they need securely. The tool helps teams discover and create data subsets to use for testing. You can provision smaller data sets to avoid overburdening infrastructure and improve the speed of tests.

It also helps test teams achieve compliance at scale by masking data to remove any sensitive information. I like the powerful monitoring and reporting features that help leaders manage data sets to ensure compliance.

Informatica pricing depends on your needs. Contact the company via its website for more information.

Datprof is a suite of test data management tools including solutions for data masking, subsetting, discovery, and test automation.

The data subsetting feature is useful. It makes it easy for teams to generate suitably sized data subsets—ones that are small enough to save infrastructure costs while still being large enough to provide accurate results.

The tool also has an algorithm that helps you select the correct data when building templates. And the synchronization wizard makes updating and maintaining templates to fit changing needs easy.

Another benefit of Datprof is the self-service portal. This gives each user their own non-production environment they can use to access data sets. Meanwhile, managers can monitor and manage software test data across multiple environments from a single location.

Datprof doesn’t advertise pricing but you can contact the team for a quote via the website.

IBM InfoSphere Optim Test Data Management automates and optimizes test data management processes for faster testing. Central to this is the tool’s rapid data generation. The tool can then identify problems that reduce the chance of problem data leading to application failure.

You can use the tool to create optimally sized datasets so you can test without using unnecessary resources. It also has powerful masking functionality that removes sensitive data such as credit card numbers and contact information from cloned datasets, while keeping its relational integrity.

You can contact IBM via the website for further pricing information.

BMC Compuware Topaz for Total Test is a testing tool that aims to help developers save time and release products and updates faster. Developers of all skill levels can use the tool to test changes immediately after updating to ensure errors aren’t introduced into the product codebase.

A cool feature is the ability to run tests that only relate to changed programs rather than the entire product. This saves mainframe resources and speeds up the testing process. You can even automate tests whenever a developer promotes a change, so they occur immediately after an update.

The tool also supports non-virtualized testing. You can test changes using real data and subsystems to cover all potential future scenarios. Test results from virtualized and non-virtualized tests can be captured in a single report for easy access.

To discover pricing information, contact BMC via the website.

Microfocus Data Express is a test data environment management tool. It automatically generates test environments to help you get started at speed.

The tool also has powerful masking features to ensure that you can hide sensitive information while keeping relationality intact. You can even associate differently-named fields from multiple data sources under a common class.

A key part of the tool is that it minimizes bandwidth, storage, and processing consumption. This reduces system pressure while still providing your testing teams with the test data sets they need.

Pricing for Data Express depends on usage. Contact the company for more information.

Avo’s intelligent Test Data Management (iTDM) enables you to generate production-like, AI-ML-based synthetic test data without writing a single line of code. With all the test data creation efforts reduced to a few clicks, iTDM fast-forwards the entire testing process and application delivery.

iTDM is built and deployed on open-source technologies and container frameworks. It offers data discovery to identify and manage personal identifiable information (PPI) automatically. It also helps secure sensitive data for PII compliance through data obfuscation. Provisioning, analysis, and searching are also core capabilities.

iTDM assists you in identifying non-compliant data in non-production environments and provide only relevant data downstream. It also improves compliance by helping you keep pace with evolving data privacy regulations.

With iTDM’s reliable and relevant test data, you can build top-quality applications faster and with minimal effort.

Avo iTDM offers custom pricing details upon request.