Sold by: DataMasque
Deployed on AWS
AWS Free Tier
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
4.8
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
- Drives consistency across tables, databases, and database engines, whether in the cloud or on-premises, regardless of the environment.
- Cryptographically secure SHA-512 salted hash to drive irreversibility.
- Optimised for self-service automation - integrates seamlessly into existing IT management services.
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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
enterprise_lic | DataMasque Enterprise License | $132,000.00 |
business_lic | DataMasque Business License | $96,000.00 |
enterprise_sup | DataMasque Enterprise License + Enhanced Support | $168,000.00 |
business_sup | DataMasque Business License + Enhanced Support | $132,000.00 |
enterprise_add | DataMasque Enterprise License - Additional Deployment | $132,000.00 |
business_add | DataMasque Business License - Additional Deployment | $96,000.00 |
prof_service | DataMasque Professional Service– Prepaid Hours ($250/hour) | $250.00 |
Vendor refund policy
Refunds and cancellations are not available.
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
Customisable Sensitive Data Discovery Rules
Sensitive data discovery rules can now be customised through YAML discovery configurations, saved as named configurations and selected per discovery run. Every run stores a downloadable snapshot of the configuration it used.
SAP HANA Support
Added support for masking SAP HANA databases.
AWS DocumentDB Support
Added support for masking AWS DocumentDB databases.
Schema Discovery for MongoDB and DocumentDB
Schema discovery and automatic ruleset generation are now supported on MongoDB and AWS DocumentDB connections, covering top-level document fields.
Custom CA Certificates for MongoDB Connections
MongoDB connections now accept a custom CA certificate upload, allowing DataMasque to connect to MongoDB and AWS DocumentDB instances that use a private certificate authority.
More Representative In-Data Discovery Sampling
In-data discovery now samples large tables more representatively on databases that support native sampling, improving the accuracy of discovery results.
Large Discovery Reports Split into CSV Files
Discovery reports that exceed Excel's row limit (roughly one million rows) are now downloaded as a zip of numbered CSV files instead of a single file, so large reports can still be opened in Excel.
Live Validation for Unstructured Text Rulesets
Rulesets for unstructured text masking are now validated as you edit them. A label with no matching mask, or a mask with no matching label, is flagged in the editor instead of failing with an unclear error when the mask runs.
Redesigned Sidebar Navigation
The sidebar has been redesigned with more clearly labelled navigation and sections, making it easier to go straight to the page you need.
PDF Image Retention Fix
Fixed certain images disappearing from masked PDFs when using image_handling retain, including images in the JBIG2 and JPEG 2000 formats.
PDF Layering Order Fix
Fixed the layering order of overlapping images and drawings not being preserved when masking PDFs with image_handling retain and drawing_handling retain.
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:
- 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.
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.
Updated weekly
By DataSunrise Database and Data Security
By Adaptive Automation Technologies
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Sensitive Data Discovery and Classification
Automatically discovers and masks sensitive data including PII, PHI, and PCI across databases, files, cloud, and on-premises environments.
Cryptographic Data Masking
Implements cryptographically secure SHA-512 salted hash algorithm to ensure irreversible data masking.
Referential Integrity Maintenance
Supports masking of primary and unique keys while automatically maintaining referential integrity of foreign keys across data structures.
Cross-Environment Data Consistency
Ensures consistent masking across multiple tables, databases, and database engines in cloud and on-premises environments.
Automation and Integration
Integrates seamlessly into existing IT management services for self-service automation of data masking workflows.
Database Activity Monitoring
Real-time monitoring and auditing of database activities across SQL and NoSQL databases including RDS, Aurora, DynamoDB, Redshift, Athena, Elasticsearch, and S3
Dynamic and Static Data Masking
Capability to apply both dynamic data masking for real-time protection and static data masking for sensitive data across databases and data warehouses
Sensitive Data Discovery and Classification
Automated discovery and identification of personally identifiable information (PII) and protected health information (PHI) within databases and data lakes
Compliance Automation
Automated compliance enforcement and policy management for regulatory standards including SOX, HIPAA, ISO27001, PCI DSS, and GDPR
High Availability and Failover with Centralized Management
High-availability architecture with autoscaling, failover capabilities for AWS environments, and centralized configuration management across all instances from a single console
Data Discovery and Classification
Automatic discovery and classification of sensitive data based on sensitivity levels across all data sources
Privileged Access Management
Share privileged access to data sources without exposing actual credentials
Data Masking
Limit sensitive data exposure across user identities and services
Real-time Activity Monitoring
Continuous monitoring and recording of database activities with custom policy enforcement
Anomaly Detection
Identification and alerting of unauthorized or malicious data activity transactions and patterns
Standard contract
No
No
Customer reviews
Nierojan Pushparajan
Masking sensitive test data has improved compliance and now enables safe, realistic debugging
Reviewed on Jan 05, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for DataMasque is masking PHI data to use in a staging environment for production testing.
I decided to start masking PHI data specifically for staging due to a compliance requirement and to have better end-to-end testing with real production loads.
What is most valuable?
The best features DataMasque offers that stand out to me are the flexibility to create rule sets and mask UUIDs, which have been really beneficial. Additionally, their customer service and technical support have been very helpful in getting this set up.
The flexibility in creating rule sets has helped my team specifically because we have lots of dependencies on different databases and different database types. We have an RDS instance and an OpenSearch instance. Having those rule sets really allowed us to connect data between the two because the same data can be across multiple datasets. Creating these rules enabled us to not think too much about which ones need to be unique or which ones need to be the same across different tables. Whenever we run into issues or questions, we are able to talk to the DataMasque team, and they give us a reasonable technical response within a good timeframe that allows us to solve our issues pretty quickly. We have not had huge delays or blockers because of the communication between us and DataMasque.
I appreciate the consistency to continue to improve the application, and there are new features coming out this year that will be tools we use. DataMasque is doing a great job of adding new features, and we will definitely be using them in the future.
DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent. It will allow our developers to troubleshoot issues easily without the risk of viewing PHI or anything similar. We are seeing the benefits already of that, but we still need to complete the full integration and incorporate it into our workflows to see the full benefits, which we are currently in the process of. So far, it has been really good.
By just masking production data, we can go into this masked database set to understand edge cases and issues as they come up from support without the developers having to look at any production data. They can go into this masked dataset and see the problem firsthand, something we would not have caught with our dev dataset because it is such a smaller amount of data, whereas production has a vast amount of data that we can look through.
What needs improvement?
It is too early to tell how DataMasque can be improved since we are still in the implementation phase. We do like everything that the company offers, and they perform check-ins monthly to see if we have any issues. Right now there is not anything we would like to improve.
For how long have I used the solution?
I have been using DataMasque for about eight months.
What do I think about the stability of the solution?
DataMasque is stable.
What do I think about the scalability of the solution?
DataMasque's scalability is pretty good; we have not had any issues, and we have a pretty large dataset that it has handled well.
How are customer service and support?
Customer support from DataMasque is excellent.
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
It was quite easy to deploy DataMasque in my environment.
My experience with the configuration process was good; it was a smooth process with no issues.
What was our ROI?
We have not seen a return on investment yet, but we expect to save money on testing.
What's my experience with pricing, setup cost, and licensing?
My experience with the procurement process was easy.
My experience with pricing, setup cost, and licensing was easy. They gave us a trial license that we used, and when it expired, they extended it for us so we could finish our implementation and testing. The contracting was done with our CTO, and he signed off on it, so that part seemed to be a smooth transaction because everything was done through AWS , with no issues at all.
Which other solutions did I evaluate?
I did not evaluate other options before choosing DataMasque, as we had a referral to DataMasque.
What other advice do I have?
I suggest trying DataMasque out and seeing how it fits your needs. Ask questions because DataMasque is great at responding to questions and making sure it fits your requirements. I give DataMasque a rating of five out of five.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2791170
Creating realistic staging data has improved testing quality and supports flexible masking rules
Reviewed on Dec 23, 2025
Review from a verified AWS customer
What is our primary use case?
I created a staging environment with production-like data.
How has it helped my organization?
We can now have a staging environment very much like a production environment, which improves our testing and product quality.
What is most valuable?
The auto-generation of masking rules, integration with Git , support for supplementary masking files, the ability to run raw SQL, and partition support all make it easier to create and maintain a masking configuration. Additionally, worker settings are needed as they help improve performance.
What needs improvement?
UUID generation could be improved. Although UUIDs were masked correctly, some validation rules were not supported, requiring a switch from validators to pattern matching. Expanding native UUID validation support would be beneficial.
For how long have I used the solution?
I have used the solution for about 3-4 months.
Which solution did I use previously and why did I switch?
This is my first time using a masking tool.
What's my experience with pricing, setup cost, and licensing?
As we are still in the early stages, I can't say anything definitive about pricing yet, but I believe it will be usage-based, which should work well.
What other advice do I have?
Thank you for the product and the great support throughout this journey. The team has been responsive and helpful, and it has been a positive experience overall.
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.