Tool Overview:
k2view

About k2view

K2view is a test data management platform that focuses on managing and securing test data across enterprise environments. The platform treats data as business entities (such as customers, orders, or products) rather than traditional database tables. Each business entity's data is stored in its own 'Micro-Database,' which contains all relevant information from multiple source systems unified into a single, encrypted unit.

What does k2view do?

The platform provides multiple approaches for handling test data. It offers intelligent data masking that automatically discovers and protects sensitive information, AI-powered synthetic data generation for creating realistic test datasets, rules-based generation for specific testing scenarios, and data cloning capabilities for performance testing. K2view processes data modifications in-flight, meaning transformations occur as data moves between systems rather than being stored and modified in intermediate locations.

K2view employs a self-service model where development and testing teams can access the test data they need without impacting production systems. The platform includes automated PII discovery and classification features that scan both structured and unstructured data sources to identify sensitive information. Once identified, this data can be masked using pre-built functions that adhere to privacy regulations such as GDPR and CCPA.

What makes k2view different?

The key technical differentiator of k2view is its Micro-Database architecture. Unlike traditional test data management solutions that work with entire databases, k2view segments data by business entity. Each entity's Micro-Database is individually compressed, encrypted, and cached in memory. This approach aims to make mass data breaches virtually impossible since each entity requires its own unique encryption key.

Another feature is the platform's handling of referential integrity across disparate systems. When masking or synthesizing data, k2view maintains consistency of relationships between different data elements, even when they exist in separate source systems. For example, if a customer name appears in multiple formats across different databases, the platform ensures it is masked consistently throughout all instances.

Use cases and industries

The platform serves three primary user groups: test data teams, software development teams, and DevOps organizations. Test data teams use k2view to automate the creation and provisioning of test data. Software development teams utilize the platform to reduce wait times for test data access and improve productivity. DevOps teams employ k2view to accelerate testing cycles and maximize test coverage through self-service access to test data.

According to the company's ROI model, organizations implementing k2view can expect time savings of 40-70% in test data creation and provisioning costs through automation. The platform also claims to reduce time-to-value by up to 25% for software development teams by providing faster access to high-quality test data. These metrics reflect the platform's focus on operational efficiency in enterprise testing environments.

K2view includes integrations with CI/CD pipelines and offers features for test data aging, versioning, and rollback. The platform can be deployed on-premises, in the cloud, or in hybrid environments. While the platform provides extensive masking and synthetic data capabilities, it requires significant implementation effort, including professional services for product training and solution configuration consulting.