Mage™ Static Data Masking vs. Oracle Data Masking and Subsetting

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Oracle Data Masking and Subsetting
Score 8.0 out of 10
N/A
Oracle Data Masking and Subsetting is designed to help database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by discarding unnecessary data.N/A
Pricing
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Editions & Modules
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Offerings
Pricing Offerings
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Best Alternatives
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Small Businesses

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Medium-sized Companies

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Enterprises
Perforce Delphix
Perforce Delphix
Score 9.9 out of 10
Perforce Delphix
Perforce Delphix
Score 9.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Likelihood to Recommend
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Mage™ Static Data MaskingOracle Data Masking and Subsetting
Likelihood to Recommend
Mage Data
No answers on this topic
Oracle
The tool is excellent when you need to provide all the details about your clients, yet hide their identity - all while maintaining the referential integrity of the data (so child-records of the masked parent record and maintain the same fake ID of the parent).
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Pros
Mage Data
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Oracle
  • It offers several ways in which you can mask your data; for example, you can choose to replace all names with "real fake names", or choose to replace all SSNs with existing SSNs, but randomly assigned. You control the algorithm.
  • It works on non-Oracle databases as well (in our case, we use it for both Oracle and SQL/Server).
  • The overhead is minimal (it doesn't take long to run, and it doesn't consume too many system resources.
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Cons
Mage Data
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Oracle
  • The learning curve was not trivial - but we got through it.
  • Cost - this product is not cheap.
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Alternatives Considered
Mage Data
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Oracle
We also looked at Delphix: the tool was quite powerful, easy to use, and competitive from a cost standpoint. However, since our entire data warehouse environment is built on the Oracle technology stack, it made sense to us to use the Oracle product here, as it integrates very well with other Oracle database and ETL products.
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Return on Investment
Mage Data
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Oracle
  • We have many compliance regulations we need to adhere to. Without this tool, we were always taking a risk of exposing client information, and get penalized by the State of the Feds (the financial consequences are significant).
  • So while the tool doesn't save us money directly, it greatly reduces the risk we had been taking all these years. To some degree, this is much like an insurance policy.
  • Given the above, it also allows us to share information with other departments/agencies, in situations where before we simply couldn't take the risk of exposing client information.
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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.