K2view Synthetic Data Generation

Spec sheet

Purpose

K2view generates synthetic data for testing, analytics, and AI.Read 8 Oct 2026 · k2view.com

Deployment

K2view Fabric and TDM deployment options include self-hosted and managed on-premises or cloud deployments, as well as K2view-managed SaaS.Read 8 Oct 2026 · support.k2view.com

Integrations

K2view says synthetic data management integrates into testing CI/CD and ML pipelines via standard APIs.Read 8 Oct 2026 · k2view.com

Support

K2view's contact page says its team can help with technical, account, and billing questions.Read 8 Oct 2026 · k2view.com

Headquarters

Dallas, Texas, United StatesRead 28 Sep 2026 · k2view.com

Founded

K2view says it was founded in 2009 to solve complex, M&A-driven enterprise data migration challenges.Read 8 Oct 2026 · k2view.com

AI generation

AI-powered generation trains a model on masked production data and can apply business rules after generation.Read 8 Oct 2026 · k2view.com

Automated workflow

A K2view data agent reads test cases, determines needed test data, selects generation methods, and provisions synthetic entities to downstream environments.Read 8 Oct 2026 · k2view.com

Cloning

Data cloning replicates entity datasets at volume and assigns unique IDs to clones to preserve referential integrity.Read 8 Oct 2026 · k2view.com

Delivery methods

K2view lists bulk ETL, virtualization, streaming, log-based changes, message-based integration, and APIs as supported integration and delivery methods.Read 8 Oct 2026 · k2view.com

Entity relationships

The product generates whole business entities across systems and uses an entity data model to preserve relationships and referential integrity.Read 8 Oct 2026 · k2view.com

Generation methods

The product combines AI-powered generation, rules-based generation, data cloning, and intelligent data masking.Read 8 Oct 2026 · k2view.com

Integration

K2view states that its platform has prebuilt connectors for relational databases, NoSQL sources, legacy mainframes, flat files, data lakes, and other sources.Read 8 Oct 2026 · k2view.com

Masking

The product can anonymize production data in flight and offers customizable masking functions.Read 8 Oct 2026 · k2view.com

Notable limit

K2view's support documentation says AI-based synthetic generation supports only one logical unit schema.Read 8 Oct 2026 · support.k2view.com

PII masking

Intelligent masking discovers and classifies PII in structured and unstructured sources and applies prebuilt masking functions.Read 8 Oct 2026 · k2view.com

Pricing and trial

The product page invites visitors to book a live demo and does not state a price or trial terms.Read 8 Oct 2026 · k2view.com

Relationship integrity

The entity data model serves as the blueprint, preserving data relationships and referential integrity across connected systems.Read 8 Oct 2026 · k2view.com

Rule-based generation

Users can configure parameter-based generation rules without code, including for edge and negative testing.Read 8 Oct 2026 · k2view.com

Rules-based generation

Rules-based generation creates targeted datasets without relying on production data, including for edge cases and negative testing.Read 8 Oct 2026 · k2view.com

Security and compliance

K2view's security page states that it is GDPR compliant, meets CCPA requirements, uses the Bouncy Castle Java stack for FIPS 140-2 compliance, and has SOC 2 Type 2 certification.Read 8 Oct 2026 · k2view.com

Test case automation

A K2view data agent can read test cases, choose and configure generation methods, and provision the resulting data to a downstream environment.Read 8 Oct 2026 · k2view.com

Use cases

K2view describes the product for software testing, analytics, and AI, and says it can help improve test coverage and find defects earlier.Read 8 Oct 2026 · k2view.com

Where Specifiction places it

• Synthetic Data Generation Software#14 of 297.7