Top 10 Data Masking K2view Alternatives

Denis Sautin

Author

Denis Sautin

Denis Sautin is an experienced Product Marketing Specialist at PFLB. He focuses on understanding customer needs to ensure PFLB’s offerings resonate with you. Denis closely collaborates with product, engineering, and sales teams to provide you with the best experience through content, our solutions, and your personal journey on our website.

Product Marketing Specialist

Reviewed by Boris Seleznev

Reviewed by

Boris Seleznev

Boris Seleznev is a seasoned performance engineer with over 10 years of experience in the field. Throughout his career, he has successfully delivered more than 200 load testing projects, both as an engineer and in managerial roles. Currently, Boris serves as the Professional Services Director at PFLB, where he leads a team of 150 skilled performance engineers.

If you’re exploring alternatives to K2view for data masking, this guide breaks down the top tools worth considering. We’ve compiled the leading solutions that serve a variety of industries — from finance and healthcare to DevOps-heavy SaaS. You’ll find a detailed comparison table of K2View competitors, full tool breakdowns, and a closer look at PFLB — a standout option for those who value both performance and data privacy. Read on to find the right fit for your team’s needs and compliance requirements.

K2View Alternatives Comparison

PFLB Data Masking Tool

PFLB’s Data Masking Tool is purpose-built for enterprise-level performance testing and test data management. It enables secure, high-speed data masking across large databases while preserving referential integrity. It’s part of PFLB’s broader DataSan suite, which supports sensitive data preparation for testing, analytics, and development use.

Key Features

• Masking speed of over 1 million rows per minute
• Multiple masking methods: substitution, shuffling, encryption, nulling
• Supports Oracle, PostgreSQL, SQL Server, MySQL, and flat files
• Maintains relational consistency between datasets
• Seamless CI/CD pipeline integration
• Full support for GDPR, HIPAA, PCI DSS, and CCPA
• Expert onboarding, configuration, and support from the PFLB team

Comparison with K2view

Unlike K2view’s micro-database structure, which can be complex to implement and scale, PFLB focuses on raw performance, flexibility, and masking throughput. It’s designed for teams that need speed and test-readiness at scale, not just data accessibility.

Price

Custom quote based on data volume, systems, and integration requirements. Free trial available upon request.

Informatica Persistent Data Masking

Informatica Persistent Data Masking is part of Informatica’s broader data governance and integration suite. It delivers consistent, irreversible masking of sensitive information across on-prem and cloud environments, supporting both development and production data workflows.

Key Features

• Real-time and static data masking
• Format-preserving encryption and tokenization
• Centralized policy management and audit logs
• Native cloud integration (AWS, Azure, GCP)
• Role- and rule-based masking workflows
• Prebuilt templates for GDPR, HIPAA, PCI

Comparison with K2view

While K2view focuses on real-time micro-databases and data product delivery, Informatica is built around secure, persistent transformation of sensitive data — making it ideal for enterprises prioritizing compliance, long-term storage, and migration workflows.

Price

Subscription-based pricing. Requires enterprise licensing; contact Informatica for a customized quote. Free trial available.

IBM InfoSphere Optim Data Privacy

IBM InfoSphere Optim is an enterprise data masking and archiving solution designed to support secure data access, compliance, and lifecycle management across structured and unstructured environments.

Key Features

• Static and dynamic masking capabilities
• Data archiving, subsetting, and test data management
• Supports cloud, on-prem, and mainframe systems
• Comprehensive compliance alignment (SOX, HIPAA, GDPR)
• Works across applications, files, and databases

Comparison with K2view

IBM Optim is more focused on governance and full-lifecycle data management, while K2view is engineered for operational micro-databases. Optim’s strength is its compliance breadth and system interoperability.

Price

Enterprise-level pricing; no public plans. Requires direct consultation with IBM.

Broadcom Test Data Manager (CA TDM)

Broadcom TDM (formerly CA Test Data Manager) is a test data provisioning platform that includes powerful masking, synthetic data generation, and automation features tailored to complex enterprise environments.

Key Features

• Synthetic test data creation
• Intelligent subsetting and relational masking
• Integration with CI/CD and DevOps pipelines
• Policy-based test data generation

Comparison with K2view

While K2view focuses on real-time data delivery, Broadcom TDM shines in end-to-end test data management, particularly for DevOps-heavy pipelines that require automation and auditability.

Price

Quote-based pricing. Broadcom offers trials through enterprise sales channels.

Oracle Data Masking and Subsetting

Part of Oracle Enterprise Manager, this tool is built for protecting data in test and non-production environments by masking and subsetting Oracle and non-Oracle databases.

Key Features

• Format-preserving and deterministic masking
• Built-in subsetting engine
• Referential integrity enforcement
• Native Oracle stack integration

Comparison with K2view

Oracle’s solution is built for Oracle-native environments, offering tighter database-level integrations than K2view, but with less flexibility outside the Oracle ecosystem.

Price

Starts around $5,000. May require additional Oracle licensing.

Datprof Privacy

Datprof Privacy is a lightweight, developer-friendly tool for masking and anonymizing data in dev/test environments. It’s best suited for smaller teams needing fast implementation.

Key Features

• Quick setup with intuitive UI
• Rule-based masking and subsetting
• Supports major RDBMS platforms
• GDPR-ready configurations

Comparison with K2view

More agile and easier to implement, Datprof is ideal for small to medium businesses, while K2view offers a deeper integration layer suited for complex IT architectures.

Price

Custom enterprise pricing. Free trial available.

IRI FieldShield

IRI FieldShield offers robust static data masking, encryption, redaction, and tokenization for structured and semi-structured data, tailored for regulatory compliance.

Key Features

• Support for flat files and databases
• High-speed batch processing
• Format-preserving encryption and hashing
• Integration with IRI CoSort engine

Comparison with K2view

IRI FieldShield focuses on transformation and protection of static data, especially for compliance-heavy sectors, whereas K2view excels in operational data environments.

Price

Custom licensing; typically more affordable than enterprise platforms.

Imperva Data Masking (Thales)

Part of the broader Imperva data security suite, this tool helps anonymize and mask data in motion and at rest, while offering extensive monitoring and access control features.

Key Features

• Dynamic and static masking
• Policy enforcement and access monitoring
• Hybrid environment compatibility
• Integration with Imperva DAM and WAF

Comparison with K2view

Imperva is security-first with broader coverage across enterprise architectures, while K2view emphasizes real-time operational efficiency via its micro-database tech.

Price

Custom enterprise pricing. Typically bundled with other Imperva modules.

DataVeil

DataVeil is a freemium data masking tool designed for developers and smaller organizations that need simple, rule-based masking without large-scale enterprise overhead.

Key Features

• Built-in masking templates
• Masking preview and audit logs
• Support for SQL Server and Oracle
• Lightweight install, easy to use

Comparison with K2view

DataVeil is ideal for targeted, one-off use cases and test data masking. K2view, by contrast, is built for large-scale integration and data product delivery.

Price

Free tier available. Paid versions depend on project scope.

ARX Data Anonymization Tool

ARX is a free, open-source tool for anonymizing datasets using advanced privacy models like k-anonymity and l-diversity. Ideal for research and non-commercial use.

Key Features

• Powerful anonymization algorithms
• Risk analysis dashboard
• GUI and command-line options
• No data masking for production DBs

Comparison with K2view

ARX isn’t a direct enterprise competitor to K2view but serves well for analytical or academic data privacy tasks. K2view is more practical for operational data systems.

Price

Free and open-source. No commercial licensing.

What Is the Best K2view Alternative?

The best K2view alternative on the market as of now is PFLB’s Data Masking Tool.

While K2view offers strong data virtualization through its micro-database engine, it falls short in areas like masking speed, testing integration, and ease of deployment. PFLB’s Data Masking Tool not only addresses these gaps — it outperforms them.

Built for High-Volume, High-Speed Masking

PFLB handles 1 million+ rows per minute without breaking referential integrity — a critical advantage when masking production-scale datasets for safe testing or analytics use. In complex environments, PFLB has masked tens of terabytes within hours.

Practical, Flexible, and Developer-Friendly

It supports substitution, shuffling, encryption, and nulling, and works with Oracle, PostgreSQL, SQL Server, MySQL, and flat files — both structured and semi-structured. The tool is lightweight, CI/CD compatible, and easy to integrate without vendor lock-in.

Test-Ready Masked Data

Where many tools produce secure but functionally limited test data, PFLB ensures your datasets remain usable, consistent, and logically accurate. This drastically reduces friction for QA teams and downstream systems.

Transparent Compliance + Automation

Pre-configured for GDPR, HIPAA, PCI DSS, and CCPA, PFLB includes audit logging and automation-friendly APIs — ideal for regulated industries that require repeatable, fully traceable masking flows.