Redgate is a Representative Vendor in the 2019 Market Guide for Data Masking

Gartner has published its 2019 Market Guide for Data Masking. You can use this guide to understand the key capabilities offered by vendors in this market, including Redgate.

As per Gartner, following are insights from this report:

  • "By 2022, consistent enterprisewide use of data masking or similar deidentification techniques will increase to 50%, an increase from 20% in 2018."
  • "The data masking market is mature in areas such as static data masking products for relational databases and DevOps use cases, and it continues to evolve, particularly for big data and dynamic data masking use cases."
  • "Take advantage of innovative data masking products at the data virtualization or application tier to minimize the performance impact on development and testing teams, or to address architectural issues."

We believe, Redgate Data Masker for SQL Server addresses the key findings in the Gartner 2019 Market guide for Data Masking in the following ways:

  • Mask data subject to GDPR, CCPA, HIPPA and other privacy laws
  • Protect data in databases used by internal teams and contractors
  • Provision fictitious, yet realistic data for development and testing
  • Use in combination with SQL Clone to deliver pre-masked virtualized databases
  • Includes multiple methods to sanitize sensitive information, scalable across complex environments

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"Test data (or copy data) virtualization is a technology that is increasingly popular, when used in combination with SDM (Static Data Masking), to speed up the provisioning of and updates to target environments, in addition to significantly reducing the amount of storage required by these environments.”

Data Masker is part of SQL Provision

Create, protect, and manage SQL Server database copies

Provision new database environments quickly and safely. Static data masking coupled with virtual cloning technology means databases can be created in seconds, using just MB of storage, to bring production-like data into development and test, while ensuring sensitive information isn’t exposed. And with a single central management system for provisioning, the entire process is simple, repeatable, transparent, and auditable.

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1. Gartner Market Guide for Data Masking, Marc-Antoine Meunier, Dale Gardner, Zaira Pirzada, 25 November 2019.

2. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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