Gartner® Peer Insights™ “Voice of the Customer” Report Identifies Delphix as Customers’ Choice for Data Masking


When it comes to business excellence, nothing speaks louder than sincere feedback from its customers or customers. After all, customers are the cornerstone of the success of any business. Giving customers an anonymized forum to share their opinions, however, gives those reviews even more weight by allowing customers to freely share their honest, unfiltered opinions and reviews without consequence.

Gartner provides precisely this type of anonymous forum for B2B enterprise software and services decision makers with Gartner Peer Insights. Once a year, Gartner compiles unscripted and anonymous technology vendor information into valuable Voice of the Customer reports that summarize what enterprise customers think of leading vendors within individual market segments.

We are proud to announce that, based on 18 months of customer reviews on Gartner Peer Insights, Delphix has achieved the highest overall rating of 4.5/5, based on 33 reviews as of April 30, 2022, out of 14 providers in the data. masking market segment. Delphix is ​​recognized by peers as a Customer Choice based on our overall evaluation and user interest and adoption. 94% of our customers would recommend Delphix, with one $10-30 billion banking customer rating our continuous compliance data masking solution as “Ultimate solution for all data masking challenges.”

Data masking is an important tool for many contemporary businesses, as maximizing cybersecurity and data privacy compliance remain top priorities for businesses around the world. Cyber ​​threats are on the rise and Identity Theft Resource Center reported a more than 68% increase in data breaches between 2020 and 2021. Hackers also began targeting non-production enterprise environments, with one hacker notoriously using an unprotected router to access T-Mobile. production, staging and development servers in 2021. Non-production environments constitute approximately 80% of a company’s attack surface – and the T-Mobile breach both exposed the sensitive information of 50 million customers and ultimately cost the company half a billion dollar business – 350 million dollars for a class action settlement and an additional $150 million to strengthen their security.

In the meantime, many countries have implemented international privacy and data protection laws to protect their citizens’ data, including the European Union’s GDPR, Brazil’s LGPD, US Gramm-Leach Act -Bliley for US Providers of Financial Products and Services, and California CCPA. . Failure to comply with these regulations risks reputational damage and significant fines – each GDPR breach can cost up to 4% of a company’s annual global revenue or €20 million (approximately $22 million) – whichever is greater.

Data masking remains a pragmatic option for companies striving to both secure their data and comply with data privacy regulations around the world. By irreversibly replacing sensitive data values ​​with fictional but realistic equivalents that maintain referential integrity in development environments, data masking ensures that a company’s data complies with virtually all privacy laws. data without it being able to be exploited maliciously in the event of a breach.

However, data masking is only part of DevOps test data management. According to Gartner, “DevOps Test Data Management (TDM) is the process of providing DevOps teams with data to assess application performance, functionality, and security. This typically includes copying production data, anonymizing or masking, and sometimes virtualizing. In some cases, specialized techniques, such as synthetic data generation, are appropriate. Given potential compliance and privacy issues, the effort often involves members of the application and data security teams.1

The Delphix DevOps Data Platform parallels the Gartner definition of DevOps TDM, while also automating DevOps TDM processes with APIs. Our continuous compliance solution identifies sensitive information in a business and automates data masking, regardless of location. And while many masking solutions require specialized programming knowledge, costly service commitments, and months to implement, continuous compliance can easily be up and running in days. But continuous compliance is only half of the Delphix platform; the other half is our continuous data solution, which virtualizes data to reduce the data footprint by 10x, while accelerating provisioning by 100x.

Delphix’s work with Molina Healthcare illustrates the ability of our platform to solve several DevOps TDM problems for our customers. Not only was Molina able to use Delphix to automate the masking of its non-production data, but it was able to deliver secure datasets to these downstream environments. Implementing Delphix saved Molina 4PB of storage, reduced their environment provisioning time to 10 minutes, and collectively reduced their application build schedules by 50%.

Learn more about how the Delphix platform can meet your data masking needs while solving the rest of your DevOps TDM Challenges.

1: Gartner Hype Cycle for Agile & DevOps, July 13, 2022 • ID G00772103
By Keith Mann, Joachim Herschmann, Akis Sklavounakis
Gartner, Gartner Peer Insights ‘Voice of the Customer’: Data Masking, Peer Contributors, June 30, 2022. GARTNER is a registered trademark and service mark, and PEER INSIGHTS is a trademark and service mark of Gartner, Inc. and/or its affiliates in the United States and around the world and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content and makes no warranties, express or implied, with respect to this content, as to its accuracy or completeness, including any warranties of merchantability or fitness for purpose. particular.


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