CloudTDMS

Creates realistic test data from scratch by learning the statistical properties and patterns of real datasets, rather than simply masking or anonymizing production data.

The platform is designed to produce synthetic data that looks and behaves like real data, ensuring test environments accurately mimic production.

Goes beyond simple dummy data by understanding the underlying structures and patterns of real data to generate intelligent, artificial datasets.

Generates data that has no direct link to real individuals or production data, inherently preventing data breaches and ensuring compliance with privacy regulations like GDPR.

Allows users to define data models and generate synthetic data quickly and easily without needing to write any code, accelerating innovation and making it accessible to a wider range of users.

Automates the process of generating test data for various non-production purposes such as development, testing, training, upgrading, and profiling, reducing manual effort and time.

By providing quick access to realistic and safe test data, it helps to shorten development and testing cycles, accelerating product releases.

Frees up time typically spent on manual test data creation and rework due to defects, leading to significant cost savings.

Synthetic data can be defined, made, and shared rapidly, providing a solution even when real data is scarce or non-existent for new use cases.

Built with security as a core principle, guaranteeing 100% compliance with GDPR and other security policies because the data is user-controlled and artificial.

Eliminates the risk of exposing sensitive production data in non-production environments, significantly reducing the likelihood of data breaches.

Supports the creation of synthetic data across a wide range of data types, enabling diverse and efficient test environments.

Offered as a cloud solution, optimizing testing processes and providing scalability.

While primarily focused on synthetic data, it also includes capabilities for data masking and subsetting existing data for test purposes (as per external search results).

Features a module to discover patterns and relationships in your data, which can be used to create better data models for synthetic generation.

Ensures that all generated data is fully controlled by the user and is entirely artificial, providing peace of mind regarding data privacy.

Offers out-of-the-box integrations with various cloud platforms, databases, file systems, and SaaS applications to source reference data and load generated test data.

Provides easy scheduling of data workflows for automated generation.

Offers "hyper-care" during critical project phases, direct access to product owners and customer success managers, and phone support for major issues.

The team can design complete, customized test data management solutions tailored to specific client needs.