Delphix vs. Mage™ Static Data Masking

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Delphix
Score 9.2 out of 10
N/A
Delphix, headquartered in Redwood City, provides test data management for DevOps. Businesses need to transform application delivery but struggle to balance speed with data security and compliance. The Delphix DevOps Data Platform automates data security, while rapidly deploying test data to accelerate application releases. Delphix helps its customers modernize applications, adopt multi-cloud, achieve CI/CD, and recover from downtime events such as ransomware, faster.N/A
Mage™ Static Data Masking
Score 0.0 out of 10
N/A
Mage™ Static Data Masking (formerly iScramble, MENTIS' Data Anonymization module) protects critical sensitive data in non-product and pre-production environments. iScramble offers users the flexibility to choose the anonymization method per requirements - including encryption, tokenization, and masking techniques - to protect sensitive data in a delicate balance of performance and security.N/A
Pricing
DelphixMage™ Static Data Masking
Editions & Modules
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Offerings
Pricing Offerings
DelphixMage™ Static Data Masking
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
DelphixMage™ Static Data Masking
Top Pros

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Top Cons

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Best Alternatives
DelphixMage™ Static Data Masking
Small Businesses

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Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10

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Enterprises
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
Delphix
Delphix
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DelphixMage™ Static Data Masking
Likelihood to Recommend
7.6
(6 ratings)
-
(0 ratings)
Support Rating
8.9
(3 ratings)
-
(0 ratings)
User Testimonials
DelphixMage™ Static Data Masking
Likelihood to Recommend
Delphix
REST API calls are available for all Delphix activities. Delphix makes it simple to move data between production to other test or QA environments. Through the replacement with a dummy, yet realistic data of the customer or patient data, you reduce the danger of data breaches for any and all copies of data you produce.
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Mage Data
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Pros
Delphix
  • Fast refresh of production data to non-production environments.
  • Easy to automate tasks in Delphix (Bookmark, Rewind, Refresh, etc.) and build pipelines in tools like Jenkins. Enables CI/CD push button build of new virtual database and also the ability to automate regression testing scenarios as well as provide a simple way to expose self-service to developers & testers.
  • The staff at Delphix are knowledgeable and take a genuine interest in helping their customers succeed. The support organization is among the best I've seen.
  • Delphix is good at notifying customers of bugs & features striking a good balance on sending the right amount and type of communication.
  • Delphix is always improving the product and fixing any bugs quickly and transparently.
  • Delphix Data Masking product works as described and allows for multiple streams of masking concurrently to complete masking faster.
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Mage Data
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Cons
Delphix
  • Delphix is a hefty solution for virtualization, but it is not strong enough for the creation of data, so we have to use another platform when it comes to creating new data.
  • Moreover, Delphix web pages do not support AD security groups which eventually results in hassle if you have a large number of users to create and maintain passwords.
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Mage Data
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Support Rating
Delphix
Delphix support could be a little better. It seems sometimes we bounce through support engineers until we get one that understands our issues and know how to fix it.
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Mage Data
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Alternatives Considered
Delphix
The other competitors in the market are Solix and Data Global and SAP. The pricing and the UI are much simpler and easy to put Delphix in the top spot.
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Mage Data
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Return on Investment
Delphix
  • Positive ROI on the first year.
  • Low TCO as really easy to use and manage.
  • Avoid technology vendor lock in.
  • Avoid technology difficulties to manage data, one ingested Delphix is on charge.
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Mage Data
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ScreenShots

Mage™ Static Data Masking Screenshots

Screenshot of Choose from 60+ different anonymization methods that protect your sensitive data effectively. Maintain referential integrity between applications through anonymization methods that give you consistent results across applications and datastores. Anonymization methods that offer you the best of both worlds in terms of protection and performance. Choose to encrypt, tokenize, or mask the data as per the use case that suits you.Screenshot of Anonymize your sensitive data using a range of methods that provide adequate security while maintaining data usability. Protect sensitive data across data stores and applications and maintain referential integrity between them. Choose from a variety of NIST-approved encryption and tokenization algorithms in addition to masking to secure your sensitive data. Maintain minimal reversibility risk, thereby complying with rigorous regulations like HIPAA, GDPR, and CCPA.Screenshot of Choose how you want to secure your sensitive data with a data classification centric anonymization technique. Secure your data across the spectrum, whether it is in-transit, at-rest, or in-use. Provide the best in class security for your sensitive data with NIST approved fips140 algorithm for encryption and tokenization.Screenshot of Implement masking that integrates easily with your replication process with a choice of in-app or API based execution of anonymization. Anonymize your data with context preserving techniques that enable you to retain the data’s usability. Retain the characteristics of the original data with anonymization techniques that maintain format, length, and context.Screenshot of Enable adequate anonymization with minimal re-identification risk through the use of MENTIS Identities (patent pending) masking method. Generate a fake dataset similar in characteristics to the original data through fuzzy logic and artificial intelligence, with MENTIS identities. Maintain an anonymized datastore that preserves demographics, gender ratios, age distribution, and the like.