Best Data Masking Software for Hadoop
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Compare the Top Data Masking Software that integrates with Hadoop as of September 2025
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This a list of Data Masking software that integrates with Hadoop. Use the filters on the left to add additional filters for products that have integrations with Hadoop. View the products that work with Hadoop in the table below.
What is Data Masking Software for Hadoop?
Data masking software is designed to protect sensitive information by replacing real data with anonymized, scrambled, or fictionalized values while maintaining usability for testing, development, or analytics. It ensures that personally identifiable information (PII), financial details, healthcare records, or other confidential data remain secure when shared outside of production environments. These tools apply techniques such as substitution, shuffling, encryption, and tokenization to preserve data format and integrity without exposing the original content. By safeguarding sensitive fields, data masking software helps organizations comply with privacy regulations like GDPR, HIPAA, and PCI DSS. It is widely used in industries such as banking, healthcare, retail, and government where strict data protection is required. Compare and read user reviews of the best Data Masking software for Hadoop currently available using the table below. This list is updated regularly.
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1
IRI DMaaS
IRI, The CoSort Company
Data may be the most important asset, and risk, that your company holds. It describes customers, products, transaction histories, and everything else that you use and plan in business. This data can be in databases, files, spreadsheets, Hadoop, cloud platforms or apps. If you don't have the time or expertise to find and de-identify the personally identifiable information (PII) in those sources yourself, IRI Data Masking as a Service (DMaaS) can help. With IRI DMaaS, you can minimize risk and cost because you only pay for the data you need protected. IRI can do all, or some, of the work to classify, find, and mask that data. IRI can also provide your auditors with the logs and targets that verify that your sensitive data was protected and now complies with privacy laws. To facilitate the service, you can transfer unprotected data to a secure on-premise or cloud-based staging area, or provide remote, supervised access to IRI to the data sources(s) at issue under a strict NDA.Starting Price: $1000 per day -
2
PHEMI Health DataLab
PHEMI Systems
The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. -
3
Informatica Persistent Data Masking
Informatica
Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations. -
4
IRI Voracity
IRI, The CoSort Company
Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data -
5
Apache Atlas
Apache Software Foundation
Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration. -
6
OpenText Voltage SecureData
OpenText
Secure sensitive data wherever it flows—on premises, in the cloud, and in big data analytic platforms. Voltage encryption delivers data privacy protection, neutralizes data breach, and drives business value through secure data use. Data protection builds customer trust and enables compliance to global regulations, including GDPR, CCPA, and HIPAA. Privacy regulations recommend encryption, pseudonymization, and anonymization to protect personal data. Voltage SecureData enables enterprises to de-identify sensitive structured data and support the use of data in its protect state to safely drive business value. Ensure that applications operate on secure data flowing through the enterprise with no gaps, no decryption, and no performance overhead. SecureData supports the broadest range of platforms and encrypts data in any language. Structured Data Manager integrates SecureData so that businesses can easily and continuously protect data throughout the lifecycle, from discovery to encryption. -
7
Mage Static Data Masking
Mage Data
Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes. -
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Mage Dynamic Data Masking
Mage Data
Mage™ Dynamic Data Masking module of the Mage data security platform has been designed with the end customer needs taken into consideration. Mage™ Dynamic Data Masking has been developed working alongside our customers, to address the specific needs and requirements they have. As a result, this product has evolved in a way to meet all the use cases that an enterprise could possibly have. Most other solutions in the market are either a part of an acquisition or are developed to meet only a specific use case. Mage™ Dynamic Data Masking has been designed to deliver adequate protection to sensitive data in production to application and database users while simultaneously integrating seamlessly with an organization's existing IT framework without the requirement of any additional architectural changes. -
9
Okera
Okera
Okera, the Universal Data Authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and demonstrate regulatory compliance. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives. Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco. -
10
Informatica Dynamic Data Masking
Informatica
Your IT organization can apply sophisticated masking to limit sensitive data access with flexible data masking rules based on a user’s authentication level. Blocking, auditing, and alerting your users, IT personnel, and outsourced teams who access sensitive information, it ensures compliance with your security policies and industry and civil privacy regulations. Easily customize data-masking solutions for different regulatory or business requirements. Protect personal and sensitive information while supporting offshoring, outsourcing, and cloud-based initiatives. Secure big data by dynamically masking sensitive data in Hadoop.
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