Mage Data Test Data Management
Mage Data Test Data Management: A broad hybrid test-data platform for teams managing masking, clones, and automation. Ranked #7 of 25 in Test Data Management Software by our editors (8.5/10); pricing: Pricing on request; best for large hybrid environments needing masking and clones.
At a glance
- Editor score8.5 / 10
- PricingPricing on request
- Best forLarge hybrid environments needing masking and clones
- Synthetic data generationYes
- Founded2004 · New York, New York, United States
- Facts checked20 Sep 2026

Where it wins
- Combines discovery, masking, subsetting, virtualization, and data generation
- Preserves referential integrity for usable non-production test data
- API and SDK access supports CI/CD pipelines and automated provisioning
Where it doesn't
- Pricing requires a sales conversation
- Broad capabilities may exceed the needs of smaller teams
- Platform taxonomy lists on-premises deployment as self-hosted
Our verdict on Mage Data Test Data Management
Mage Data Test Data Management is designed for enterprise development and QA teams that need secure, usable test data across CI/CD workflows. Its scope covers sensitive-data discovery and classification, context-preserving static masking, referentially intact subsetting, database virtualization, lightweight clones, synthetic identity and data generation, and conversational provisioning. Deployment can span on-premises, cloud, and hybrid environments, making it a fit for organizations with mixed infrastructure and production data that must be protected in non-production settings.
The platform’s breadth is its defining strength. Teams can combine Extract-Mask-Load pipelines with automated refresh workflows, virtual database copies, and synthetic data generation rather than relying on a single test-data technique. Support for statistical consistency and referential integrity is especially relevant when test environments need realistic relationships between records. API and SDK access extends these capabilities into CI/CD workflows, while integrations with Oracle ERP, SAP ERP, Snowflake, and Google BigQuery support common enterprise data environments. Mage Data has been available since 2004, adding an established foundation to its enterprise positioning.
Pricing is handled through a contact-sales process, so buyers should expect a vendor-led evaluation rather than self-service plan selection. Mage Data is a strong choice for large hybrid environments that need coordinated discovery, masking, subsetting, clones, synthetic data, and pipeline automation in one platform. Teams looking only for a focused masking utility, a small-scale test-data tool, or transparent self-service pricing may prefer a narrower alternative. Its API and SDK access also make it more suitable for organizations prepared to connect test-data management with development and delivery processes.
Your product? Our editors can test Mage Data Test Data Management in depth and publish a review, labelled as paid · from $149/mo →
Mage Data Test Data Management pricing
Mage Data Test Data Management fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Synthetic data generation | Yes |
| Data masking | Yes |
| Data subsetting | Yes |
| Refresh automation | Automated |
| Deployment model | Hybrid |
| API access | Yes |
| Deployment | Cloud, Self-hosted |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS |
| Support | |
| Built for | Enterprise (editorial estimate) |
| Integrations | 100+ integrations: Oracle ERP, SAP ERP, Snowflake, Google BigQuery |
| Pricing | Pricing on request |
| Website | magedata.ai |
| Facts checked | 20 Sep 2026 |
Mage Data Test Data Management integrations
Mage Data Test Data Management lists 100+ integrations on its own site — the 4 named here are the ones its pages call out.
- Oracle ERP
- SAP ERP
- Snowflake
- Google BigQuery
Alternatives to Mage Data Test Data Management
- Perforce Delphix Test Data ManagementA broad hybrid platform for governed, automated test data delivery.9.4
- Informatica Test Data ManagementA broad test data management suite for enterprise discovery, generation, masking, and workflows.9.1
- IBM Optim Test Data ManagementA focused choice for relational extraction, masking and right-sized test environments.9.0
See all Mage Data Test Data Management alternatives →
Mage Data Test Data Management vs the competition
- Mage Data Test Data Management vs Perforce Delphix Test Data Management
- Mage Data Test Data Management vs Informatica Test Data Management
- Mage Data Test Data Management vs IBM Optim Test Data Management
- Mage Data Test Data Management vs Redgate Clone
- Mage Data Test Data Management vs Tonic Structural
- Mage Data Test Data Management vs Curiosity Software Enterprise Test Data
Compare Mage Data Test Data Management with any tool side by side →
Used Mage Data Test Data Management? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Mage Data Test Data Management for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Mage Data Test Data Management is listed in our Test Data Management Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/mage-data-test-data-management/"><img src="https://www.itechguides.com/best/badge/mage-data-test-data-management.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update






