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Scuba Database Vulnerability Scanner VS DATPROF Privacy

Compare Scuba Database Vulnerability Scanner VS DATPROF Privacy and see what are their differences

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Scuba Database Vulnerability Scanner logo Scuba Database Vulnerability Scanner

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DATPROF Privacy logo DATPROF Privacy

✔ Mask or anonymize privacy sensitive data ✔ Generate synthetic test data ✔ Consistent over multiple applications and databases
  • Scuba Database Vulnerability Scanner Landing page
    Landing page //
    2023-08-20
  • DATPROF Privacy Landing page
    Landing page //
    2021-11-02

Modern software development requires realistic and representative test data. DATPROF Privacy masks your test data and generates synthetic data. Your customer data is protected, but software teams can still use representative test data.

Scuba Database Vulnerability Scanner features and specs

  • Comprehensive Scanning
    Scuba Database Vulnerability Scanner offers thorough scanning capabilities for databases, which can help identify a wide range of vulnerabilities.
  • User-Friendly Interface
    The tool features an intuitive and easy-to-navigate interface, making it accessible for users of varying technical expertise.
  • Automated Reports
    Scuba generates detailed reports automatically, providing actionable insights and recommendations to address identified vulnerabilities.
  • No Cost Solution
    As a free tool from Imperva, Scuba offers organizations a cost-effective option for enhancing their database security.
  • Regular Updates
    The tool receives frequent updates to its vulnerability database, ensuring it remains effective against emerging threats.

Possible disadvantages of Scuba Database Vulnerability Scanner

  • Limited to Databases
    Scuba focuses solely on database vulnerabilities and does not include broader network or application scanning capabilities.
  • Enterprise Features Missing
    Being a free tool, Scuba might lack some advanced features provided in paid, enterprise-level security solutions.
  • Potential Compatibility Issues
    There may be compatibility limitations with certain types of databases or specific versions not supported by the tool.
  • No Real-Time Monitoring
    Scuba does not offer real-time monitoring capabilities, which might be a limitation for organizations needing continuous oversight.
  • Manual Intervention Needed
    Certain aspects of the tool may require manual configuration or intervention, which could be time-consuming for users.

DATPROF Privacy features and specs

  • Data Masking
  • Data Generation
  • Data Anonymization

Scuba Database Vulnerability Scanner videos

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Scuba Database Vulnerability Scanner

DATPROF Privacy videos

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Category Popularity

0-100% (relative to Scuba Database Vulnerability Scanner and DATPROF Privacy)

Scuba Database Vulnerability Scanner

DATPROF Privacy

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Security & Privacy
69 69%
Security & Privacy
31% 31
Development
0 0%
Development
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0

User comments

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What are some alternatives?

When comparing Scuba Database Vulnerability Scanner and DATPROF Privacy, you can also consider the following products

DBHawk - Datasparc features DBHawk, online SQL Tools designed for Oracle, MS SQL Server and other databases.

DATPROF - We simplify getting the right test data in the right place at the right time.

Oracle Advanced Security - Stop would-be attackers and reduce risk of unauthorized data exposure with advanced security database technologies from Oracle. Together, encryption and redaction form the foundation of defense-in-depth, multilayered database security solutions.

IBM Infosphere Optim - Structured Data Archiving and Application Retirement

Imperva Data Security - Imperva is a leading provider of cyber security solutions that protect data and application assets, detect and prevent data breaches, protect against cyber-attacks and satisfy compliance requirements.

Test Data Management - Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.

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