Sold by: DataMasque
Deployed on AWS
A self-contained DataMasque Ready-to-Run Sample Set. Launches with a bundled PostgreSQL database and PGAdmin so you can mask realistic sample data and inspect before/after results in minutes - no setup, no data of your own required.
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.
This edition ships with a PostgreSQL sample database and the pgAdmin database client alongside the DataMasque engine, with a connection and a comprehensive masking ruleset already configured. Launch the instance, open DataMasque, run the pre-built masking job, then open pgAdmin straight from the run log to compare the data before and after. No configuration, no data preparation and no registration.
Register to manage your own connections, mask files and use in-flight masking against your own databases. Moving to production is a licence change, not a redeployment. Choose Bring Your Own License (BYOL) or a contract subscription and the bundled PostgreSQL and pgAdmin containers are automatically retired, leaving the same engine running against your own data.
DataMasque is fully air-gapped with no telemetry and no phone-home. Your data stays entirely within your own AWS account.
Highlights
- Self-contained, hands-on in minutes - a bundled PostgreSQL sample database and pgAdmin client ship alongside the DataMasque engine, with a connection and masking ruleset already configured. Run a masking job out of the box and compare before and after directly in pgAdmin.
- Data masking in action - generate privacy compliant, realistic and irreversible synthetically identical data from PII, PHI and PCI, with referential integrity preserved across keys and tables. This edition masks up to 1,000 rows per job.
- Scale up when you're ready - register to mask your own data with your own connections, then move to Bring Your Own License (BYOL) or a contract subscription for unlimited volume. Fully air-gapped with no telemetry and no phone-home.
Details
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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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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 | $0.00000001 |
c5.9xlarge | $0.00000001 |
c5.12xlarge | $0.00000001 |
c5.4xlarge | $0.00000001 |
t3.2xlarge | $0.00000001 |
Dimensions summary
You pay by the hour based on the AWS instance size you run this software on. The five options are compute instances that differ in processing power and memory. The t3.2xlarge is a general-purpose instance, while the c5 options are compute-optimized and scale up from c5.2xlarge to c5.12xlarge. Larger instances handle bigger or faster masking workloads. You pick the instance that fits your data volume and speed needs, then pay only for the hours you use. There is no upfront commitment or fixed term with this usage-based model.
Top-of-mind questions for buyers
This sample set handles up to 1000 rows per run and includes one data source of any type, such as a relational database, NoSQL database, or data warehouse. It suits trial or evaluation workloads rather than production-scale masking of full datasets.
You pay hourly only while the instance runs. Stopping the instance halts the software hourly charge. Underlying AWS storage or resource fees may still apply while the instance is stopped, but the software meters running time only.
The t3.2xlarge is general-purpose and fits lighter or bursty workloads. The c5 options are compute-optimized and scale from c5.2xlarge to c5.12xlarge for heavier processing. All bill hourly, so you match instance power to your masking speed needs.
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We do not currently support refunds, but you can cancel at any time.
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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) .
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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
Choice of Local AI Engine Models
Local AI Engine now offers two models: Precision, the default, and Express, which is about 10 times faster but less accurate on text with broken spacing or non-Latin characters. Express requires Local AI Engine 1.26.11.0 or later.
AI Detection Cache
Setting cache_ai_detect_spans to true makes later runs send only new or changed text to the AI Engine, speeding up repeat runs. The cache stores only text hashes and detected entity positions, so it holds no PII. It is off by default and can be cleared at any time.
Singapore NRIC Checksum
A new singapore_nric checksum supports Singapore NRIC/FIN numbers in set_checksum, checksum_valid, imitate_unique and from_unique_imitate.
Date Format Preservation in Unstructured Text
Breaking change: unstructured_text masks now preserve the source date format by default. A from_random_date followed by a typecast with no date_format writes dates such as 1st of January 2025 instead of 2025-01-01, and a from_random_date with epoch parameters is now refused. A typecast with a date_format is unchanged, and setting enabled: false under date_format_preservation restores the previous behaviour.
Up to 10x Faster AI Detection
ai_detect masking is now up to 10 times faster in mask_table tasks and most mask_file formats. The documentation describes what is covered and how to set workers and batch_size.
Faster PDF Masking
PDF masking is now faster, and masked PDFs are smaller.
Deprecated ai_detect Guidelines
The guidelines setting of ai_detect is deprecated and no longer sent to the AI Engine. Rulesets that still set it run with a warning, so use self-explanatory names for custom labels instead.
Live Run Logs Updates
The Run Logs page now updates the status and duration of runs in progress without a refresh.
DocumentDB Run History
Run history is now recorded for Amazon DocumentDB connections created through the API.
Broader Connector Compatibility
Improved compatibility with Amazon Redshift, IBM Db2 LUW, IBM Db2 for i, Databricks and Amazon DynamoDB connections.
Timestamptz Time Zone Fix
Fixed PostgreSQL and Databricks Lakebase timestamptz values being masked as UTC when the server, role or database time zone is not UTC. This corrects the output of masks such as retain_year and retain_age, and table_reference lookups on those columns now find rows.
Cross-Schema Foreign Key Fix
Fixed Oracle schema discovery and masking runs failing when a schema has a foreign key to a table in another schema. Masking runs on MySQL, MariaDB, Amazon Redshift and IBM Db2 LUW now also handle such foreign keys correctly.
Additional details
Usage instructions
Please follow the steps below to complete setting up your DataMasque instance:
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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.
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Complete the first-time installation page by providing the following information:
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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.
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Password for the admin user.
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Hostnames or IP addresses to access the DataMasque instance.
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The SMTP settings specific to your organisation.
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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
Vendor 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.
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.
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