Data Masker for Oracle - New Subscription 24 Months
Red GateProduct type:
39432.83 CHF
for EU and non-EU countries (except Switzerland) including 0% VAT
42626.89 CHF
for Switzerland including 8.1% VAT
Free electronic delivery - 1-3 working days
Minimum order quantity - 3
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Data Masker for Oracle by Red Gate is a powerful tool designed to replace sensitive data in test and development databases with realistic yet fictitious information, ensuring data security without compromising usability.
- Protect Sensitive Information: Safeguard your test and development environments by replacing confidential data with anonymized values, mitigating the risk of data breaches.
- Realistic Data Masking: Maintain the integrity and functionality of your databases by substituting sensitive information with data that appears authentic, preserving the look and feel of the original dataset.
- High Performance: Experience rapid data masking processes, enabling quicker provisioning of secure test environments and reducing downtime.
- Automated Compliance: Implement automated masking procedures to consistently meet regulatory requirements and ensure ongoing compliance with data protection standards.
- Seamless Integration: Easily incorporate Data Masker into existing workflows, with compatibility alongside Red Gate's Data Catalog and Clone products for a unified data management solution.
- User-Friendly Interface: Benefit from an intuitive UI that simplifies the masking process, making it accessible for users without specialized technical expertise.
- Extensive Masking Rules: Utilize a variety of masking rules, including substitution, shuffling, and synchronization, to tailor the data masking process to your specific needs.
- Customizable Datasets: Access a broad range of pre-built replacement datasets, such as names, zip codes, and emails, or create your own to suit unique requirements.
- Scalable Solution: Designed to handle large and complex databases efficiently, ensuring performance remains optimal regardless of data volume.
- Repeatable Processes: Establish simple, repeatable, push-button processes that can be quickly applied whenever a test database is refreshed with production data.