Software Alternatives & Reviews

Monyog VS Imperva Data Protection

Compare Monyog VS Imperva Data Protection and see what are their differences

Monyog logo Monyog

MySQL Database Performance Monitoring Tool

Imperva Data Protection logo Imperva Data Protection

Secure your data from attacks and simplify regulatory compliance. Imperva data security protects what matters most for your business – your data.
  • Monyog Landing page
    Landing page //
    2023-05-07
  • Imperva Data Protection Landing page
    Landing page //
    2023-05-16

Monyog videos

Percona Webinar Monitoring MySQL with MONyog by Peter Zaitsev

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Imperva Data Protection videos

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Category Popularity

0-100% (relative to Monyog and Imperva Data Protection)
Cloud Storage
18 18%
82% 82
Monitoring Tools
14 14%
86% 86
Security & Privacy
7 7%
93% 93
Data Security And DLP
25 25%
75% 75

User comments

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What are some alternatives?

When comparing Monyog and Imperva Data Protection, you can also consider the following products

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

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 Db2 Analytics Accelerator - Explore this component, tightly integrated with Db2 for z/OS to deliver high-speed processing for real-time insight.

BladeLogic Database Automation - Improve efficiency, lower costs, and keep your databases running smoothly by automating routine administrative processes with BladeLogic Database Automation.

IBM Security Guardium Vulnerability Assessment - IBM Guardium Vulnerability Assessment scans your data environment to detect vulnerabilities and suggest remedial actions.

SafeNet ProtectDB - ProtectDB software delivers powerful database encryption and protection for the sensitive corporate and customer information stored in databases.