10 Top Data Masking Tools

Sona Hakobyan

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Sona Hakobyan

Sona Hakobyan is a Senior Copywriter at PFLB. She writes and edits content for websites, blogs, and internal platforms. Sona participates in cross-functional content planning and production. Her experience includes work on international content teams and B2B communications.

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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.

Data breaches can cost companies millions. That’s why more businesses are turning to data masking tools to keep sensitive information safe. But with so many options out there, how do you know which one’s right for you?

In this article, we’ll walk you through some of the best data masking tools available today. Whether you’re a developer, security lead, or IT decision-maker, you’ll find practical insights, pros and cons, and tips to help you choose the tool that actually fits your needs. 

What Are Data Masking Tools?

Data masking tools are designed to protect sensitive information by replacing real data with fake but realistic data. Think of it as disguising your data, so even if someone gets unauthorized access, they can’t see or use the real thing.

This is especially important when teams need to work with production-like data in non-secure environments, like development, testing, or training. Instead of using actual customer names, credit card numbers, or health records, these tools swap them out with fictional versions that still behave like the real data.

Why use data masking tools? Because they help companies stay compliant with data privacy laws like GDPR, HIPAA, and CCPA,  while also lowering the risk of data breaches. They’re a critical part of any serious data protection strategy, especially for organizations handling PII (personally identifiable information) or financial data.

Let’s dive into the data masking tools list.

Data Masking Tools for 2025

This guide serves as a data masking tools comparison, featuring insights into the top data masking software used by businesses that prioritize security and compliance. Whether you’re managing on-premise systems or hybrid cloud environments, these tools can form the backbone of your data protection strategy.

Data Masking Tools Comparison Table

1. PFLB

Website: PFLB Data Masking Tool

PFLB delivers a powerful and flexible data masking solution designed for enterprise-scale environments, helping companies protect sensitive data across development, testing, analytics, and outsourcing scenarios. Built with performance and compliance in mind, it supports structured and unstructured data across various database systems and file formats. PFLB’s tool is particularly effective for large organizations that need to anonymize vast amounts of data quickly, without breaking application functionality or workflows.

Pros:

• High-speed data masking for large volumes of information
• Supports both structured (e.g. databases) and unstructured data (e.g. logs, documents)
• Compatible with major database platforms (Oracle, SQL Server, PostgreSQL, etc.)
• Maintains referential integrity to ensure data remains usable after masking
• Wide selection of masking techniques: substitution, encryption, shuffling, nulling, and more
• Built-in compliance support for GDPR, HIPAA, CCPA, and other regulations
• Can be integrated into CI/CD pipelines for automated masking
• Designed to minimize performance impact in test environments
• Dedicated expert team for onboarding, support, and customization
• Available as part of a full suite of performance and data management services

Cons:

Cost: Pricing is based on the complexity and scale of the project. Contact PFLB for a tailored quote.

2. K2View

Website: K2View Data Masking Tools

K2View offers an advanced data masking solution that stands out for its unique, micro-database architecture and real-time capabilities. The platform is built to handle complex enterprise environments by enabling dynamic and static masking, powered by AI-based PII discovery. K2View’s approach focuses on delivering secure, role-based access to sensitive information without duplicating or exposing original datasets. It’s particularly suitable for organizations managing large volumes of customer data spread across multiple systems.

Pros:

• AI-driven discovery of sensitive data (PII, PHI, PCI) for faster setup
• Supports dynamic (real-time) and static data masking in production and non-production environments
• Preserves data integrity and usability across multiple data sources and applications
• Integrates well with legacy systems and cloud-native platforms
• Offers fine-grained access control policies for data masking at user level
• Built-in audit trails and governance features to support compliance
• Designed for scalability across distributed data landscapes
• Can be deployed on-prem, in the cloud, or in hybrid environments

Cons:

Cost: Pricing is not publicly listed and varies depending on the deployment model and data environment. 

3. EPI-USE Labs

Website: EPI-USE Data Secure

EPI-USE Labs offers Data Secure, a specialized data masking and anonymization tool built for SAP systems, particularly SAP HCM. It enables organizations to efficiently anonymize sensitive employee and payroll data in development and test environments while keeping the systems fully functional. The tool is designed to help SAP-driven enterprises meet strict data privacy regulations such as GDPR and POPIA without disrupting core business processes.

Pros:

• Purpose-built for SAP environments, especially SAP HCM
• Fast anonymization with minimal downtime
• Ensures referential integrity and functional system behavior after masking
• Supports compliance with global privacy standards (GDPR, HIPAA, POPIA)
• Built-in templates for rapid implementation across typical SAP data types
• Can be used to prepare secure data sets for outsourcing or training scenarios
• Backed by a global team of SAP experts and consultants

Cons:

Cost: Pricing is tailored to project scope and system complexity. 

4. Oracle Data Masking and Subsetting

Website: Oracle Data Masking

Oracle’s Data Masking and Subsetting solution is designed to protect sensitive data by replacing it with realistic, anonymized values while creating efficient, manageable subsets of production data for non-production use. It helps organizations reduce risk, support compliance, and lower infrastructure costs by avoiding full-scale data replication in dev/test environments. The tool integrates tightly with Oracle Database and is ideal for companies already operating within Oracle’s ecosystem. Read also our post – K2view vs Oracle.

Pros:

• Seamless integration with Oracle databases and tools
• Built-in support for data subsetting to reduce storage costs
• Helps ensure compliance with major data protection regulations (GDPR, HIPAA, etc.)
• Maintains data integrity and application functionality post-masking
• Automates the process of masking and provisioning for non-production environments
• Supported by Oracle’s extensive security and data governance framework

Cons:

Cost: Pricing is based on licensing and Oracle’s service agreements. For accurate costs, reach out to Oracle’s sales team.

5. IBM InfoSphere Optim Data Privacy

Website: IBM InfoSphere Optim

IBM’s InfoSphere Optim Data Privacy is a powerful enterprise-grade data masking solution that helps organizations de-identify sensitive information across applications, databases, and files. It supports a wide range of masking techniques and ensures test and development environments remain functional while meeting stringent data privacy requirements. Optim is built for complex IT ecosystems and integrates well with IBM’s broader data governance and lifecycle management tools.

Pros:

• Offers multiple masking methods, including encryption, substitution, and tokenization
• Supports both structured and semi-structured data across various platforms
• Enables data masking across applications, including enterprise systems like SAP and PeopleSoft
• Helps organizations comply with GDPR, CCPA, HIPAA, and other data privacy laws
• Maintains data integrity for functional testing and analytics workflows
• Can be integrated with broader IBM security and data lifecycle solutions

Cons:

Cost: IBM provides custom pricing based on project size, number of environments, and licensing needs. 

6. Camouflage Software (Imperva Camouflage)

Website: Imperva Camouflage Data Masking

Imperva’s Camouflage Data Masking solution helps organizations safely use sensitive data in non-production environments by applying anonymization techniques that maintain realism and consistency. It supports various databases and file types, making it useful across industries like healthcare, finance, and retail. Camouflage is known for its intuitive interface and ease of deployment, helping teams quickly create realistic test data while staying compliant with privacy regulations such as GDPR, HIPAA, and CCPA.

Pros:

• Easy-to-use interface designed for both technical and non-technical users
• Supports a broad range of structured data sources and file formats
• Maintains referential integrity across data sets
• Offers pre-built templates and rules for common data types
• Helps ensure compliance with major global data privacy laws
• Enables rapid masking and provisioning of test environments

Cons:

Cost: Pricing is based on deployment size and support requirements. 

7. Informatica Cloud Data Masking

Website: Informatica Data Masking

Informatica’s Cloud Data Masking solution is a highly scalable platform designed to protect sensitive data used in non-production environments like development, testing, training, and analytics. It allows organizations to anonymize personal and confidential data, such as credit card numbers, health records, or social security numbers, while preserving data utility. As part of Informatica’s Intelligent Data Management Cloud (IDMC), it offers rich integration options and is well-suited for businesses operating in hybrid and multi-cloud ecosystems. Informatica’s tool also ranks among the best data protection software on the market, thanks to its robust integration and automation capabilities.

Pros:

• Cloud-native platform ideal for modern enterprise environments
• Preserves referential integrity to keep test environments functional
• Offers flexible deployment across public, private, and hybrid cloud setups
• Integrates with other Informatica tools for broader data governance and protection
• Provides automation and templates to streamline masking workflows
• User-friendly interface for configuring and managing masking rules

Cons:

Cost: Informatica offers pricing based on deployment size, required features, and data volumes. 

See more in our post – Informatica Cloud Data Masking alternatives.

8. Delphix

Website: Delphix Data Masking

Delphix provides a comprehensive data masking solution as part of its DevOps Data Platform, built for fast-paced development teams that need access to secure, production-like data. The platform automates the discovery and anonymization of sensitive fields across a wide range of databases and applications. Delphix is especially strong in enabling rapid, secure data delivery in testing and QA workflows, while helping organizations comply with privacy laws such as GDPR and HIPAA.

Delphix is known not only for its DevOps-friendly masking workflows but also for positioning itself as a versatile data obfuscation tool that simplifies compliance and speeds up development.

Pros:

• Automated identification and masking of sensitive data
• Supports major relational databases and enterprise applications
• Ensures compliance with global data privacy regulations
• Reduces time and manual effort in test data management
• Offers both static and dynamic masking options

Cons:

Cost: Pricing is tailored to deployment scope and technical requirements. 

9. Immuta

Website: Immuta Data Masking

Immuta is a comprehensive data security platform specializing in dynamic data masking and fine-grained access control. It enables organizations to protect sensitive information across various cloud and on-premises environments without compromising data utility. The platform integrates seamlessly with major data ecosystems, including Snowflake, Databricks, AWS, and Google BigQuery.

Pros:

• Applies masking in real-time based on user attributes and access policies, eliminating the need for data duplication.
• Offers granular access controls by evaluating user, data, and environmental attributes.
• Facilitates adherence to data privacy laws such as GDPR, HIPAA, and CCPA through automated policy enforcement.
• Compatible with leading data platforms, enhancing existing data workflows without significant overhaul.

Cons:

Cost: Immuta offers customized pricing based on factors such as deployment size, data volume, and specific organizational needs. Interested parties should contact Immuta directly for a tailored quote.

10. Syntho

Website: Syntho – AI-Generated Synthetic Data Platform

Syntho is an AI-driven synthetic data platform designed to generate high-quality, privacy-preserving synthetic datasets. By creating artificial data that mirrors the statistical properties of real datasets, Syntho enables organizations to utilize data for analytics, testing, and machine learning without compromising privacy. 

Pros:

• Produces realistic synthetic data that retains the statistical characteristics of original datasets, facilitating accurate analysis and model training.
• Includes tools for PII scanning, synthetic mock data generation, and consistent mapping to maintain referential integrity across datasets.
• Supports applications in test data management, advanced analytics, product demonstrations, and data sharing across various industries.

Cons:

Cost: Syntho offers customized pricing based on organizational needs, data volume, and specific use cases. 

How to Choose the Best Data Masking Tool

Not all data masking tools are created equal, and the right choice depends on your organization’s needs, tech stack, and data sensitivity. Below are key factors to consider when evaluating a data masking solution:

Consider PFLB Your Best Data Masking Tool Provider

When it comes to safeguarding sensitive data, especially in complex enterprise environments, PFLB stands out as a trusted partner. With a proven track record in delivering high-performance data masking solutions, PFLB ensures that organizations can maintain data privacy, comply with regulations, and streamline their operations.

Why Choose PFLB?

Expertise in Diverse Projects: PFLB has collaborated with a range of industries, including banking, healthcare, and energy, to implement tailored data masking strategies. Their solutions are designed to handle vast datasets, ensuring that even the most intricate systems remain secure and compliant.

Innovative Solutions: PFLB’s proprietary tool, DataSan, offers rapid and efficient data masking capabilities. Operating directly at the database level, DataSan can mask over 1,000,000 table rows per minute, significantly reducing the time required for data anonymization processes.

Regulatory Compliance: With built-in support for major data protection regulations like GDPR, HIPAA, and CCPA, PFLB’s solutions ensure that your organization remains compliant while minimizing the risk of data breaches.

Real-World Impact: A Banking Case Study

A leading bank, serving millions of customers daily, faced challenges in sharing client data with external vendors for development and QA purposes. Their existing data masking scripts were time-consuming and resource-intensive, taking weeks to process a 40 TB Oracle database.

PFLB’s Intervention: By deploying DataSan, PFLB reduced the masking time from weeks to just 38 hours, achieving a rate of approximately 1 TB per hour. Post-masking, the bank’s team conducted functionality tests using the anonymized data, confirming that all business workflows operated seamlessly. 

Outcome: The bank can now expedite its release cycles, deliver new features faster, and share data with external partners without compromising client confidentiality.

Read case study details

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Want to see how PFLB helps companies across banking, healthcare, and tech solve their toughest data challenges? Browse real-world projects and proven results.

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Partner with PFLB

With a commitment to excellence and a suite of robust data masking tools, PFLB is equipped to address your organization’s unique challenges. Whether you’re looking to protect sensitive data, ensure compliance, or streamline your operations, PFLB offers solutions tailored to your needs.

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Conclusion

As cyber threats grow more advanced, and regulations more demanding, choosing from the best data masking tools or broader data protection tools is more critical than ever. This comparison of the top data masking software has highlighted options that can help any organization stay compliant and secure. Whether you’re a large enterprise or a growing company, investing in the right solution can help you stay compliant, protect sensitive information, and confidently scale your operations.