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.
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
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
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
Request a private offer to receive a custom quote.
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.
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
CData AWS Glue Connector for Dynamics 365 Business Central
By CData Software
Easily connect to Dynamics 365 Business Central from AWS Glue
CData AWS Glue Connector for Dynamics 365
By CData Software
Easily connect to Dynamics 365 from AWS Glue
Mediant VE Session Border Controller (SBC) - PAYG
By AudioCodes
AudioCodes Mediant VE SBC delivers seamless connectivity, robust security and voice quality assurance for VoIP services. Connect your IP PBX, unified communications solution (inc. Microsoft Teams or Skype for Business) or contact center to Amazon Chime Voice Connector or any other SIP trunk service.
PagerDuty Operations Cloud
By PagerDuty
The PagerDuty Operations Cloud is essential infrastructure for all unplanned, time-sensitive, critical work. It automatically detects and diagnoses disruptive events mobilizes the right team members to respond and automate infrastructure and workflows across your digital operations. This means you can resolve unplanned, unstructured, time-sensitive, and high-impact issues quickly - with fewer escalations to your technical teams while minimizing the impact on your customers and maintaining brand trust.
Customer reviews
No customer reviews yet
Be the first to write a review for this product.