Mage Data Test Data Management

Spec sheet

Purpose

Test Data Management automates delivery of secure, high-quality data for CI/CD pipelines.Read 7 Oct 2026 · magedata.ai

Deployment

Mage Data says the platform is installed in the customer's environment on-premises, in their cloud account, or in a hybrid deployment, and is not a SaaS service.Read 7 Oct 2026 · magedata.ai

Integrations

Mage Data lists Jenkins, GitLab CI, GitHub Actions, and Azure DevOps Pipelines as CI/CD integrations, and says any orchestrator that can call a REST API can connect.Read 7 Oct 2026 · magedata.ai

Support

Mage Data says its contact team will respond within one business day to discuss requirements or arrange a personalized demo.Read 7 Oct 2026 · magedata.ai

Headquarters

New York, New York, United StatesRead 28 Sep 2026 · magedata.ai

Founded

2004Read 28 Sep 2026 · magedata.ai

Automation

The product can automate test data workflows via APIs.Read 7 Oct 2026 · magedata.ai

Company history

Mage Data's CEO profile says Rajesh K. Parthasarathy founded MENTIS in 2004; the profile does not state that Mage Data itself was founded that year.Read 7 Oct 2026 · magedata.ai

Data handling

Mage Data says its repository holds metadata and policies, not a copy of production data, and that virtual copies live on the customer's servers.Read 7 Oct 2026 · magedata.ai

Data preparation

The product supports in-place masking, Extract-Mask-Load pipelines from production, and instant virtual copies.Read 7 Oct 2026 · magedata.ai

Masking

Static Data Masking permanently masks sensitive data in non-production environments while maintaining consistency.Read 7 Oct 2026 · magedata.ai

Masking consistency

Its context-preserving masking algorithms are designed to maintain referential integrity and statistical consistency so data remains usable for testing.Read 7 Oct 2026 · magedata.ai

Natural language

A conversational interface lets users request datasets and manage provisioning using natural language.Read 7 Oct 2026 · magedata.ai

Pricing

The contact page invites prospective customers to request pricing; it does not state a price.Read 7 Oct 2026 · magedata.ai

Subsetting

Intelligent Subsetting extracts referentially intact production data subsets for testing.Read 7 Oct 2026 · magedata.ai

Supported sources

Representative supported sources include Oracle, Microsoft SQL Server, IBM Db2, MongoDB, Amazon RDS, Snowflake, Google BigQuery, and Databricks; Mage Data says its connector list is not exhaustive.Read 7 Oct 2026 · magedata.ai

Target users

The product is positioned for enterprises and their developers who need secure test data for rapid release and CI/CD workflows.Read 7 Oct 2026 · magedata.ai

Virtualization

Database Virtualization creates space-efficient virtual database copies in minutes to reduce storage costs and accelerate cycles.Read 7 Oct 2026 · magedata.ai

Plans and prices

Every Mage Data Test Data Management plan and price →

Where Specifiction places it

• Test Data Management Software#18 of 257.3