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    DataMasque - Business Edition

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    Sold by: DataMasque 
    DataMasque finds sensitive data including PII, PHI, PCI and FHIR within your non-production environments and uses our advanced masking algorithms to replace with realistic, functional and consistent synthetic data. By removing the sensitivity of your data, organizations accelerate testing, development and analytical teams by providing production-realistic datasets that look and act exactly like the production data.
    Listing Thumbnail

    DataMasque - Business Edition

     Info
    Sold by: DataMasque 

    Overview

    Simple and safe data masking. As data leaves your production environment, DataMasque uses irreversible data masking to replace the sensitive data with realistic, functional and consistent values. DataMasque empowers organisations to use data masking to better leverage its data to make meaningful decisions, accelerate product development and securely share data with partners without compromising the privacy of people.

    By employing best practice data masking across Databases (Oracle, PostgreSQL, MSSQL, Redshift, DynamoDB & MongoDB) and files while driving consistency of data across the environments, DataMasque significantly reduces your surface area for a potential breach. DataMasque provides certainty, the certainty of protected, best practice compliant data. The certainty of eliminating risk. The certainty of providing valuable, usable data to your stakeholders.

    Notes:

    1. The hourly option in this plan is limited to masking up to 500 GB of data sources.

    2. The annual option in this plan allows you to mask unlimited size of data sources for one (1) supported data source type.

    You can upgrade to the DataMasque Enterprise Plan  if you have more than one (1) data source type to mask.

    Deprecation Note: The hourly option in this plan is deprecated and will be unavailable starting September 15, 2024. For the hourly consumption option, you can opt for the DataMasque Standard Plan hourly plan. 

    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 8.8

    Typical total price

    This estimate is based on use of the seller's recommended configuration (c5.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $37.455/hour

    Pricing

    DataMasque - Business Edition

     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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (15)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.2xlarge
    $37.00
    $0.448
    $37.448
    c3.2xlarge
    $37.00
    $0.535
    $37.535
    c3.4xlarge
    $37.00
    $1.013
    $38.013
    c3.8xlarge
    $37.00
    $2.026
    $39.026
    c4.2xlarge
    $37.00
    $0.515
    $37.515
    c4.4xlarge
    $37.00
    $0.973
    $37.973
    c4.8xlarge
    $37.00
    $1.989
    $38.989
    c5.2xlarge
    Recommended
    $37.00
    $0.455
    $37.455
    c5.4xlarge
    $37.00
    $0.853
    $37.853
    c5.9xlarge
    $37.00
    $1.919
    $38.919

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

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

    Custom pricing options

    Find a fit for enterprise or unique needs with a private offer.

    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

    Added: Schema discovery has been improved, utilising less memory, and includes an option to export discovery results to CSV for offline column selection. The Ruleset Generator can generate rulesets from an uploaded CSV file, including the option to split the output into multiple rulesets each of a nominal size. Support for RHEL9. Support for Amazon Linux. DynamoDB connections now support providing a role ARN to assume, to allow for cross-account access for masking. hash_columns now support a coerce_whole_numbers_to_int option, for consistent hash generation between integers and whole numbers stored as floats. Shortcuts have been added to the Save Connection button, to quickly test and save a connection, or save and go to the Ruleset Generator. Run IDs and durations are now shown on the Run Logs screen.

    Changed: DataMasque now supports the Docker Compose plugin (i.e. docker compose) as a replacement for the standalone docker-compose tool. However, docker-compose will continue to work for backward compatibility. Note that Podman and Amazon Linux still require the standalone docker-compose to be installed, as outlined in the DataMasque installation instructions. The Finished With Warnings status is now displayed in orange on the Run Logs page. All warnings have been reviewed and refined. Many messages that had WARNING level have been downgraded to INFO, reducing the number of runs that have Finished With Warnings status. Warnings that can be disabled show a hint on how to disable them. More information on warnings can be seen on the Warnings  documentation.

    Fixed: Filtered indexes in IBM Db2 LUW are now detected correctly, so indexes are no longer attempted to be created when one already exists. In some instances the numeric_bucket mask would cause an infinite loop. This could occur if force_change was set to true, and the scale_to was chosen such that the scaled output value matched the input value. numeric_bucket buckets must be a multiple of scale_to (if set), which fixes an issue where replacement values were outside their bucket. from_unique_imitate now supports Amazon Redshift. Automatic index creation on Oracle 11g no longer fails. For example, when DataMasque requires an index and must create one for the duration of a task. from_unique_imitate now supports Oracle 11g. In-Data Discovery now supports Oracle 11g.

    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://. 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 DataMasque AWS Marketplace software product allows you to mask data up to the total of 3TB in unique source databases.
    • 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.

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    1 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Shaikshavali K.

    Best tool for data masking

    Reviewed on Jan 26, 2024
    Review provided by G2
    What do you like best about the product?
    I liked that way it was created to mask business and sensitive data with data masking.
    What do you dislike about the product?
    It should be better user friendly UI.
    Performance can also be improved better
    What problems is the product solving and how is that benefiting you?
    Hiding sensitive data and bussiness data with some data masking techniques.
    View all reviews