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.
- Creates useable production-like data for meaningful development and testing.
- Drives consistency across tables, databases and database engines.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
c5.2xlarge Recommended | $49.00 |
c5.4xlarge | $49.00 |
c6i.2xlarge | $49.00 |
c6i.4xlarge | $49.00 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Custom pricing options
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
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
Added: Masking Snowflake databases is now supported (via Amazon S3 storage integration). Red Hat OpenShift Service on AWS (ROSA) 4.17 is now supported as a deployment platform. The set_checksum mask now supports the australian_business_number, australian_company_number, brazilian_cpf, credit_card, luhn, and icp checksum algorithms. Added the on_invalid_format and on_invalid_characters options to the set_checksum mask. county columns are now detected by Metadata Discovery as well as In-Data Discovery. Added support for specifying the schema when connecting to Microsoft SQL Server databases.
Changed: The default rules generated for email address columns/fields now generate masked values in the format firstname.lastname@example.com instead of FirstnameLastname@example.com. In-Data Discovery now displays multiple matches, sorted by the percentage of data that matched each rule. The Max File Size option for masking on Redshift now defaults to 5MB instead of 10MB.
Fixed: The UI now stops polling for run status, discovery run status, or run logs after navigating to a different page. Fixed an issue which caused the SMTP benefits email to be sent repeatedly. Resolved an issue where rulesets showing as valid syntax in the ruleset editor UI may not be accepted during a masking run, or vice versa. Resolved an issue where, when masking a Microsoft SQL Server database and using the continue_on_failure option, if one task failed, the next task might immediately crash. The correct error message is now displayed if the user has exceeded their license usage quota. Resolved an issue using from_unique_imitate on SQL Server versions 2016 and earlier. Fixed an issue where DataMasque would falsely display a license expiry notification when there is an inactive/expired file license, after switching over to a contract license from AWS License Manager. Resolved an issue where masking would fail on NaT values in Parquet TIMESTAMP columns.
Additional details
Usage instructions
Please follow the steps below to complete setting up your DataMasque instance:
-
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.
-
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.
- 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.
Resources
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.
Similar products

