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    DataMasque Synthetically Identical Masked Data - Consumption Plan RHEL

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    Sold by: DataMasque 
    Deployed on AWS
    DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
    4.5

    Overview

    Protect sensitive data for development, testing, analytics and AI/ML ops without compromising on data quality and innovation with DataMasque. Automatically discover and mask sensitive data - including PII, PHI and PCI - to generate privacy compliant, realistic and irreversible synthetically identical data. No matter where your data lives - in databases, files, the cloud, on-prem or across environments - DataMasque ensures it is masked consistently. DataMasque supports masking of primary and unique keys and automatically maintains referential integrity of foreign keys.

    Highlights

    • Optimised for self-service automation - integrates seamlessly into existing IT management services.
    • Drives consistency across tables, databases and database engines.
    • Cryptographically secure SHA-512 salted hash to drive irreversibility.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel 9.4

    Deployed on AWS
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    Pricing

    DataMasque Synthetically Identical Masked Data - Consumption Plan RHEL

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     Info
    Dimension
    Cost/hour
    t3.large
    Recommended
    $49.00
    r5.large
    $49.00

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Automatic Trigger and Index Management by default for supported databases

    DataMasque now automatically manages triggers and indexes for supported databases. If triggers are present, they may be triggered and overwrite masked data. By default, DataMasque will now disable triggers during a masking run, and re-enable them when the masking run finishes, preventing any possible data corruption from triggers. Indexes on masked columns are now disabled and re-enabled automatically during a masking run. This generally improves performance as the indexes are not constantly updated as data is written. To revert to the previous behaviour, specify auto_manage_triggers: false and auto_manage_indexes: false for mask_table or mask_unique_key tasks.

    Stricter permissions for downloading non-supplementary files

    Now, only admin users are allowed to download non-supplementary files through the Files section of the DataMasque UI. This prevents non-admin users from downloading files such as Oracle Wallets or MySQL SSL credentials.

    Additional details

    Usage instructions

    Please follow the steps below to complete setting up your DataMasque instance:

    1. Access the application via a web browser at https://<instance-ip-or-hostname>. The application may take a few minutes to start. Please refresh the page if you encounter the "Unexpected Error" message.

    2. Complete the first-time installation page by providing the following information:

    • Email address of the DataMasque admin user. This email address is stored on the DataMasque EC2 instance and is used for the purposes of providing 'Forgotten Password' account recovery and critical system notifications. DataMasque will not have access to this information.

    • Password for the admin user.

    • Hostnames or IP addresses to access the DataMasque instance.

    • The SMTP settings specific to your organisation.

    • The instance ID of your EC2 instance.

    1. You will be re-directed to the DataMasque login screen. Please proceed to login with the admin password you have just configured.

    Note:

    • This product allows masking up to a total of 500GB across unique data sources.
    • When you use our software we may receive and store usage data and information relating to the performance and use of the Software. We will not disclose any system information which identifies the user or the user environment to third parties.
    • To upgrade your DataMasque version, contact the DataMasque team via https://datamasque.com/contact/?source=support_ticket  or support@datamasque.com  to request your access to the DataMasque Customer Portal and download the new DataMasque software version.

    Support

    Vendor support

    DataMasque provides full product and installation support within 72 hours of making an enquiry. Contact the support team at support@datamasque.com  for any enquiries you may have. support@datadatamasque.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    25
    In Masking/Tokenization
    Top
    10
    In Masking/Tokenization
    Top
    25
    In Cloud Governance

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
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    14 reviews
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    12 reviews
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    Overview

     Info
    AI generated from product descriptions
    Data Discovery and Masking
    Automatically discovers and masks sensitive data types including PII, PHI, and PCI across multiple data environments
    Cryptographic Security
    Utilizes SHA-512 salted hash technique for generating irreversible masked data
    Data Consistency
    Maintains referential integrity of foreign keys and ensures consistent masking across tables, databases, and database engines
    Cross-Environment Support
    Supports data masking in databases, files, cloud, on-premises, and across different computing environments
    Key Preservation
    Supports masking of primary and unique keys while preserving data structure and relationships
    Database Activity Monitoring
    Real-time monitoring and tracking of database activities across multiple SQL and NoSQL database platforms
    Data Masking Capabilities
    Dynamic and static data masking techniques for protecting sensitive information and personally identifiable data
    Compliance Automation
    Automated compliance support for multiple regulatory standards including SOX, HIPAA, ISO27001, PCI, and GDPR
    Multi-Database Security
    Comprehensive security coverage for major database platforms including RDS, Aurora, DynamoDB, Redshift, Athena, and various enterprise databases
    Authentication and Access Control
    Advanced authentication proxy with Active Directory and LDAP integration, providing granular access control and security management
    Data Discovery
    Automated identification and classification of sensitive data across multiple data sources using intelligent classification mechanisms
    Access Governance
    Privileged access management system that enables secure data source access without direct credential sharing
    Data Masking
    Dynamic obfuscation technique to limit sensitive information exposure across different user identities and service interfaces
    Activity Monitoring
    Real-time continuous tracking and recording of database activities using customizable policy-based monitoring frameworks
    Anomaly Detection
    Advanced pattern recognition system to identify and alert unauthorized or potentially malicious data transaction patterns

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    2 ratings
    5 star
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    50%
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    1 AWS reviews
    |
    1 external reviews
    External reviews are from PeerSpot .
    Dave Miller

    Data masking has improved QA testing coverage and protects all discovered sensitive fields

    Reviewed on Dec 23, 2025
    Review from a verified AWS customer

    What is our primary use case?

    I use the solution to mask production data and restore it into a QA environment.

    How has it helped my organization?

    The testing scenarios are more complete.

    What is most valuable?

    Being able to generate the masking rules directly from the tool based on what it finds during the data discovery helps ensure that all sensitive fields are identified and masked.

    For how long have I used the solution?

    I have used the solution for one year.

    Which solution did I use previously and why did I switch?

    This is the first time I am using this tool.

    What's my experience with pricing, setup cost, and licensing?

    The DM team was very happy to work with us when we were determining the pricing and licensing model we wanted to use.

    What other advice do I have?

    The tech support is top notch!

    reviewer2789496

    Data masking has protected sensitive test data and enables accurate, large-scale QA testing

    Reviewed on Dec 22, 2025
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for DataMasque  is cleaning personal, personally identifiable information out of a production environment to use in our test and QA environments.

    A quick, specific example of how I use DataMasque  in those environments is that we take production data, we clean it and mask it, and we give it to our developers and our UI.

    The whole idea of DataMasque allows me to do exactly what I just explained.

    What is most valuable?

    The best features that DataMasque offers are the speed and accuracy, which are by far the best of any of the masking products.

    The speed and accuracy help my team because, since it's our test, our UI and test boxes, we don't want to introduce data errors and bugs or have any data leakage, so it's incredibly important to have accuracy. Speed is key because we have terabytes worth of data to process. If it was slower, it would take probably a week to be able to process and mask the whole thing, which is incredibly helpful.

    DataMasque has positively impacted our organization by absolutely allowing us to more rigorously test our products within a safe environment without leaking personally identifiable information.

    What needs improvement?

    I think it would be great if the user experience was upgraded because it can be quite technical at times.

    The user interface could benefit from an upgrade as it can be quite technical at times. I do not have a specific example of where it felt too technical or where the user experience could be smoother.

    For how long have I used the solution?

    I have been using DataMasque for the last couple of years.

    What other advice do I have?

    There are no improvements needed for DataMasque that we haven't already discussed.

    My advice to others looking into using DataMasque is that it's an extremely good product that's getting better all the time.

    My company does not have a business relationship with this vendor other than being a customer. I would rate this product an 8 out of 10.

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