Redgate is a representative vendor in the 2018 Market Guide for Data Masking

Gartner has published its 2018 Market Guide for Data Masking. You can use this guide to understand the key capabilities offered by vendors in this market, including Redgate.

How does Redgate Data Masker for SQL Server address the key findings in the Gartner 2018 Market Guide for Data Masking?

As per Gartner, following are the key findings from this report:

  • "The evolution of threat and compliance environments — in particular, privacy regulations — continues to fuel demand for data-masking products. This demand is further sustained by data growth and the expanded use of data analytics."
  • "The risks of unmasking or re-identification in masked datasets are increasingly a concern, as organizations build complex big data environments. More organizations have become subject to regulations, such as GDPR, which require assessment of those risks."
  • "DM is available in an increasingly broad array of deployment options to address data management and application architectures where traditional DM approaches have struggled."

Redgate Data Masker for SQL Server

  • Multiple methods to sanitize sensitive information, scalable across complex environments
  • Use templates to remain consistent with existing data formats
  • Replacement data sets included, such as Names, Zip Codes, Emails
  • Populate test data as well as sanitize existing information
  • Provision pre-masked copies of databases for development and testing

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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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Get your complimentary copy of the 2018 Market Guide for Data Masking

1. Gartner Market Guide for Data Masking, Marc-Antoine Meunier, Ayal Tirosh, 20 July 2018.

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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