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Microsoft SQL VS Informatica Dynamic Data Masking

Compare Microsoft SQL VS Informatica Dynamic Data Masking and see what are their differences

Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Informatica Dynamic Data Masking logo Informatica Dynamic Data Masking

Prevent unauthorized users from accessing sensitive information with Dynamic Data Masking. Get real-time data de-identificationand de-sensitization.
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • Informatica Dynamic Data Masking Landing page
    Landing page //
    2022-12-27

Microsoft SQL videos

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

Informatica Dynamic Data Masking videos

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Category Popularity

0-100% (relative to Microsoft SQL and Informatica Dynamic Data Masking)
Databases
96 96%
4% 4
Relational Databases
100 100%
0% 0
Security & Privacy
0 0%
100% 100
Tool
96 96%
4% 4

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What are some alternatives?

When comparing Microsoft SQL and Informatica Dynamic Data Masking, you can also consider the following products

MySQL - The world's most popular open source database

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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Imperva Data Masking - Protect sensitive data from exposure in non-production environments. Imperva pseudonymizes and anonymizes sensitive data via data masking.

SQLite - SQLite Home Page

Informatica Persistent Data Masking - Learn about Persistent Data Masking & enhance data security & privacy by de-sensitizing & de-identifying sensitive data.