Sold by: Mage DataÂ
Deployed on AWS
Mage Data Test Data Management (TDM) 2.0 is a next-generation solution designed to help enterprises protect, manage, and optimize test data while ensuring compliance and security. With a conversational user interface, businesses can achieve self-service enablement and rapid rollouts. A single pane of glass provides complete visibility into enterprise-wide privacy and security. The platform enables data protection in any format or state, ensuring seamless security whether at rest, in motion, or in use. Businesses can discover, classify, catalog, and automate lineage tracking across the entire enterprise, while leveraging an all-in-one data protection suite to mask, encrypt, tokenize, redact, anonymize, and more. By combining static and dynamic data masking, enterprises can secure both non-production and live environments, integrate seamlessly with DevOps pipelines, and automate data protection at scale.
Overview
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Mage Data TDM 2.0 Intelligent Subsetting
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Mage Data TDM 2.0 GenAI Protection
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Mage Data TDM 2.0 Support for Snowflake
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Mage Data TDM 2.0 Dynamic Data Masking
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Product video
Mage Data TDM 2.0 is an advanced platform for securing and managing test data while ensuring compliance. With a conversational interface and unified dashboard, it enables self-service, rapid rollouts, and full visibility across the entire enterprise.
Mage Data discovers and classifies all your sensitive data - whether it is on-premises or on the cloud; whether it is in a database, or it is in files; whether it is at-rest, or in-transit. Once discovered, Mage Data helps you create enterprise-wide policies from a single pane of glass to protect your data through masking, encryption, tokenization, redaction, and anonymization. Mage Data uniquely combines both static and dynamic data masking - securing both Production and non-Production environments, integrates with Dev Ops, and automates data protection at scale.
Mage Data helps organizations achieve faster compliance, stronger security, and smarter test data management.
Highlights
- Ensure consistent test data protection across on prem, cloud and hybrid environments , maintain referential integrity , preserve context and generate test data completely usable for analytics and training MLOPs.
- Comprehensive data protection methods and supports anonymization, pseudonymization, masking, encryption, substitution, shuffling, redaction, and more to meet compliance and security needs.
- Protects both production and non-production environments. Apply consistent, policy driven data protection across the full data lifecycle, from production systems to test and dev environments.
Details
Sold by
Delivery method
Supported services
Delivery option
Dockerized Deployment
Latest version
Operating system
Linux
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 and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Governed by license.
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)Â .
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
Dockerized Deployment
Supported services: Learn moreÂ
- Amazon ECS
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Mage Data is an enterprise-grade data security platform offering sensitive data discovery, static and dynamic data masking, intelligent subsetting, and application masking. It also provides robust data catalog and data lineage capabilities, enabling organizations to manage and protect sensitive data across cloud, hybrid, and on-premise environments while ensuring privacy compliance and operational efficiency. Additionally, Mage Data supports MLOps workflows by securely masking training data used in machine learning model, training and deployment, helping organizations maintain data privacy throughout the AI lifecycle.
Additional details
Usage instructions
Follow these steps to configure, deploy, and access your Mage Data Test Data Management 2.0 software from AWS Marketplace.
- Access the Product Listing
Go to the AWS Marketplace and navigate to the Test Data Management 2.0 product page.
Review the product details, pricing, and supported regions.
- Subscribe to the Product
Click View Purchase Options.
Accept the Terms and Conditions, then click Subscribe.
Once your subscription is complete, you will receive a confirmation message.
- Launch the Software
After subscription confirmation, click Launch Your Software from the AWS Marketplace console.
Choose your preferred deployment method (see options below).
- Choose a Deployment Method
You can deploy the application using one of the following supported environments: AWS ECS (Elastic Container Service) AWS EKS (Elastic Kubernetes Service) EKS Anywhere Self-managed Kubernetes cluster Self-managed Red Hat VM Ensure Docker is installed and running in your selected environment.
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Pull Required Images Pull the necessary Docker images from the repository: docker pull <repository_url>:mage-ui-2025-10-07-23-38-30-IST docker pull <repository_url>:mage-engine-2025-10-07-23-38-31-IST
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Create and Start Containers Create and run containers using Docker or your preferred orchestration tool: docker run --name magepostgres -p 5432:5432 -e POSTGRES_PASSWORD=postgres -e POSTGRES_USER=postgres -e POSTGRES_DB=postgres -e RUN_MIGRATION=true -e TZ="Asia/Calcutta" -v ${PWD}/pgdata:/var/lib/postgresql/data -d 709825985650.dkr.ecr.us-east-1.amazonaws.com/mage-data/mage-data-tdm2.0:mage-engine-2025-10-07-23-38-31-IST docker run --name mageui -p 8443:443 -p 8095:8051 -p 8096:8050 -e SPRING_DATASOURCE_URL="jdbc:postgresql://<engine_ip>:5432/postgres?currentSchema=mage" -e SPRING_DATASOURCE_USERNAME=postgres -e SPRING_DATASOURCE_PASSWORD=mentis -e SECURITY_ALLOWED_ORIGIN_KEY_3=postgres -e SECURITY_ALLOWED_HOST_KEY_3=<ip> -e PLATFORM_HOST_URL="${METADATA_PROXY_URL}" -e RASA_WEBHOOK_PORT="${MAGE_UI_RASA_PORT1}" -e MAGE_UI_HOST_IP="${MAGE_DOMAIN_NAME}" -e METADATA_INGESTION_URL="${METADATA_INGESTION_URL}" -e MAGE_DISCOVERY_URL="${MAGE_DISCOVERY_URL}" -e SSL_ENABLED="false" -e SSL_KEY_TYPE="${SSL_KEY_TYPE}" -e SSL_KEY_STORE_PATH="${SSL_KEY_NAME}" -e SSL_KEY_PASSWORD="${SSL_KEY_PASSWORD}" -e ENTITY_API_URL="${ENTITY_API_URL}" -e MAGE_SSO_ENABLED="${MAGE_SSO_ENABLED}" -e MAGE_LDAP_ENABLED="${MAGE_LDAP_ENABLED}" -e MAGE_IDENTITIES_PORT="${MAGE_IDENTITIES_PORT}" -e TZ="Asia/Calcutta" -v ${PWD}:/app/logs -d <repository_url>:mage-ui-2025-10-07-23-38-30-IST Note: Replace <repository_url> with the actual image repository path provided during subscription.
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Access the Application
Identify the public IP address or DNS name of the running Mage application instance.
Open a web browser and go to:
http://<Mage_Application_IP_or_Public_DNS>:<ui_port>/mage/
The Mage Data Test Data Management 2.0 user interface will load in your browser.
- Login
Use the credentials provided in your setup documentation or onboarding email to log in and start configuring your environment.
- Support
For any queries or technical assistance, contact magedatasupport@magedata.aiÂ
Resources
Vendor resources
Support
Vendor support
Email at support@magedata.ai Book a demo at magedata.ai Mage offers a structured, tiered support model to ensure timely, transparent, and effective resolution of customer issues. Level 1 (L1) tickets receive immediate attention for basic issues and are closed upon customer confirmation. Level 2 (L2) issues are resolved with an immediate fix or workaround, followed by a formal patch release if needed. Level 3 (L3) enhancement or customization requests follow a formal product development lifecycle and require approval from the Change Control Board.
Our experienced offshore teams deliver dependable Level 2 and Level 3 support remotely via Microsoft Teams , ensuring professional and timely assistance. All support requests are meticulously tracked and managed through Jira, providing full visibility and accountability throughout the support process. Support is included in the annual subscription, and for organizations requiring round-the-clock assistance, we offer dedicated support resources, enabling 24/7 coverage for maintenance, issue resolution, and expert consulting services.
Mage Data ensures high availability for all systems involved in delivering support services. These systems are fully integrated into our Business Continuity Plan (BCP) and Disaster Recovery Plan (DRP), with complete site redundancy and regular failover testing. With support teams located across multiple geographies, Mage provides reliable follow the sun coverage, serving global customers across more than a dozen time zones.
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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