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IBM InfoSphere Optim vs. Mage™ Static Data Masking

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IBM InfoSphere Optim

4 Reviews and Ratings

Mage™ Static Data Masking

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM InfoSphere Optim

    Score4 out of 10
    		N/AIBM InfoSphere® Optim™ solutions manage data from requirements to retirement, to improve governance across applications, databases and platforms by managing data properly, enabling organizations to support business goals with less risk.N/A

    Mage™ Static Data Masking

    		N/AN/AMage™ 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
    IBM InfoSphere OptimMage™ Static Data Masking
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM InfoSphere OptimMage™ 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
    Best Alternatives
    IBM InfoSphere OptimMage™ Static Data Masking
    Small Businesses
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    Medium-sized Companies
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    Enterprises
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    Perforce Delphix
    Score9.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM InfoSphere OptimMage™ Static Data Masking
    Likelihood to Recommend
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM InfoSphere OptimMage™ Static Data Masking
    Likelihood to Recommend
    IBM
    Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.
    Incentivized
    Gonzalo Angeleri
    Regional Product & Solution Architect Manager
    Read full review
    Mage Data
    No answers on this topic
    Pros
    IBM
    • Easily extract data from production environments with no-coding
    • Intelligent filtering capabilities using physical or logical relationships.
    • Advanced data masking funtions
    Incentivized
    Gonzalo Angeleri
    Regional Product & Solution Architect Manager
    Read full review
    Mage Data
    No answers on this topic
    Cons
    IBM
    • Poor UI
    • Complex architecture
    Incentivized
    Gonzalo Angeleri
    Regional Product & Solution Architect Manager
    Read full review
    Mage Data
    No answers on this topic
    Return on Investment
    IBM
    • Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
    • Accelerate the generation of non-productive environments saving time from human resources.
    Incentivized
    Gonzalo Angeleri
    Regional Product & Solution Architect Manager
    Read full review
    Mage Data
    No answers on this topic
    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.