Accelerate Innovation, Enable Compliance
The DevOps Data Platform from Perforce Delphix automates data delivery and compliance for DevOps, test data management, AI, and data protection. With faster, safer, and lighter data, teams accelerate innovation while staying compliant and secure.
DevOps Data Platform Overview
Instantly deliver masked, virtual, and ephemeral data. Put the right data in the hands of developers, testers, and data scientists when they need it. Watch the video to see how.
How the DevOps Data Platform Works

Deliver Data
Automatically deliver space-efficient, virtual data for development, testing, AI, or application recovery.
- Sync with cloud or on-premises production data sources.
- Maintain an immutable, continuous data record.
- Deliver virtual data copies to any non-production environment.

Mask Data
Find and mask sensitive information to protect against cyberthreats and comply with privacy laws including GDPR, FINRA, CCPA, HIPAA, and PCI DSS.
- Discover sensitive data such as names, email addresses, and payment info.
- Transform sensitive values into realistic, yet fictitious values.
- Mask data consistently for referential integrity across data sources and clouds.

Control Data
Accelerate development at scale while protecting sensitive data via a single point of control for test data automation, compliance, governance, and administration.
- Centrally automate compliant, ephemeral test data for DevOps.
- Gain full visibility into sensitive data and centrally control risks.
- Manage, administer, and efficiently control all test data across clouds.
- Give teams self-service data access and API-based controls.
Featured Integrations
Integrate with DevOps Toolchains
Automate data for mission-critical applications using an API-first data platform.
- Connect to a wide range of databases, warehouses, lakes, and files.
- Use pre-built integrations with tools for DevOps, continuous integration/continuous deployment (CI/CD), site reliability engineering, and AI/ML.

Gartner Peer Insights™ Customers' Choice for the 2025 Voice of the Customer for Test Data Management
Perforce Delphix was recently cited as a Gartner Peer Insights™ Customers' Choice in the 2025 Voice of the Customer for Test Data Management*.
Why We Believe Enterprises Choose Delphix
*Gartner, Gartner Peer Insights ‘Voice of the Customer’:
Test Data Management, Peer Contributors, August 2025
The Perforce Delphix Difference
Unifies data virtualization and data masking in a single solution with the DevOps Data Platform. And then seamlessly delivers those capabilities through a single management and control plane.
- Seamlessly integrated data masking and virtualization.
- Single point of control and API gateway for data automation, governance, and policy enforcement.

Give developers, testers, and data scientists access to high-quality datasets, plus the ability to easily version and manipulate data.
- Provide a comprehensive data library for self-service access.
- Use APIs, CLI, or purpose-built UIs.
- Version data like code: refresh, rewind, bookmark, and branch datasets.

Bring data automation, compliance, and governance to the largest, most complex enterprises.
- Scale-out architecture for multiple clouds, data centers, and geographies.
- Gain broad support for data sources including high-volume stores.
- Ensure cloud referential integrity for masked data.

The DevOps Data Platform pays for itself in hard cost savings, delivering a proven ROI backed by 100s of customer deployments.
- Reduce storage requirements dramatically through data virtualization.
- Enable applications to leverage low-cost object storage.
- Slash cloud spending with ephemeral data environments — spin them up and down on demand.
Trusted by the World’s Largest Customers
See the DevOps Data Platform for Yourself
Request a no-pressure demo today. You’ll get a walkthrough from one of our product specialists and learn how the DevOps Data Platform can help you with your most important initiatives, including:
- DevOps, CI/CD, test data management: Deliver high-quality apps faster.
- Data compliance and security: Reduce sensitive data risk.
- Application resiliency: Eliminate downtime and data loss.
- AI/ML: Automate compliant data access in AI pipelines.