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Perforce Delphix | Data Control TowerPerforce

P4 Data Control Tower (formerly Delphix Data Control Tower) centralizes data management across environments. It automates data delivery, ensures compliance, and enhances security, providing real-time insights and control over data operations to accelerate development and reduce risks.

Vendor

Vendor

Perforce

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Product details

Speed Up Quality Releases for DevOps Scale

Centralize automation, governance, and control with Data Control Tower.

Data Control Tower Overview

Data Control Tower in Perforce Delphix delivers a single point of control for automation, compliance, governance, and administration for the DevOps Data Platform. By using Data Control Tower, you can meet often-conflicting goals. Fast, self-service test data for the software team. Secure data for the information security team. And cost efficiency for the IT operations team.

The Perforce Delphix Difference: Data Control Tower

Minimize Operational Cost

Reduce staff effort and infrastructure costs. Data Control Tower delivers central, ephemeral data automation and administration for DevOps.

Reduce Risk

Reduce development and testing risks. Data Control Tower provides centralized sensitive data discovery, masking jobs monitoring, and tag-enabled role-based access control (RBAC).

Speed Up Time-to-Market

Increase developer productivity and shift left. Data Control Tower provides self-service with automated provisioning of ephemeral data.

Centrally Automate Ephemeral, Compliant Data for DevOps

Manage, tag, and operate geographically distributed virtualization and masking engines across hybrid cloud environments. With a streamlined API and modern user interface (UI), Data Control Tower empowers developers and testers to perform critical operations — such as provisioning, refreshing, and bookmarking of ephemeral data — and centrally integrate data into DevOps toolchains.

Choose Your Data Control Tower Edition 

Core 

Foundational capabilities for small deployments to get started. 

  • Support two Continuous Data engines and one Continuous Compliance engine.
  • Central UI for Continuous Data, Continuous Compliance, and Hyperscale Compliance.
  • Global tag-enabled RBAC.
  • Tag management.
  • Data library and catalogs.
  • Central admin interface using APIs and Data Control Tower Toolkit. 

Self Service 

Advanced data automation and self-service for multiple application teams. 

  • Support for unlimited Continuous Data Engines and one Continuous Compliance Engine.
  • Central UI for Continuous Data, Continuous Compliance, and Hyperscale Compliance.
  • Global tag-enabled RBAC.
  • Tag management.
  • Data library and catalogs.
  • Advanced self-service including APIs, Data Control Tower Toolkit, virtual database (VDB) groups, and bookmarks.
  • Prebuilt DevOps toolchain integrations. 

Enterprise 

Central, enterprise-wide data automation, compliance, governance, and control at scale.

  • Support for unlimited Continuous Data Engines and unlimited Continuous Compliance Engines.
  • Central UI for Continuous Data, Continuous Compliance, and Hyperscale Compliance.
  • Global tag-enabled RBAC.
  • Tag management.
  • Data library and catalogs.
  • Advanced self-service including APIs, Data Control Tower Toolkit, VDB groups, and bookmarks.
  • Prebuilt DevOps toolchain integrations.
  • Advanced multi-engine workflows.
  • Sensitive data vulnerabilities heatmap across hybrid cloud.
  • Storage and cost savings report. 

Key Capabilities: Data Control Tower

Automate Data Delivery

Central Automation and Complex Toolchain Integration for DevOps Centrally automate the delivery of secure, production-quality, hybrid cloud data into pipelines. Use prebuilt integrations for ServiceNow, Jenkins, or Terraform — or a robust API — to shift left so you can improve software quality and time-to-market. Secure Data Self-Service for Developers and Testers Developers use an RBAC-driven data catalog to provision compliant, ephemeral data using their preferred interfaces: ServiceNow, Swagger API, SDKs, or a modern UI. They manage and share ‘data as code’ using core operations like bookmark, refresh, and rewind.

Govern Data

Reduce risk in development and testing with centralized visibility and control of sensitive data and compliance traceability. This includes sensitive data discovery heatmap, automated policy-driven masking, tag-enabled RBAC, and comprehensive records of compliance activity.

Control Data

Centralize and streamline hybrid cloud test data management and control using a unified data library, tagging, and access management. Monitor, report, and gain insights across non-production data environments while reducing costs with efficient, ephemeral data management at DevOps scale.

How Data Control Tower Works

Curate Data in Library and Provision Via Custom Catalogs

Data Control Tower enables the IT operations team to organize and describe virtualized masked data — in a library — across Delphix engines. Provision data from the library to development teams, using ephemeral, governed self-service catalogs.  

  • Metadata tags for curation and access control. 
  • Catalog customized per team needs and use cases. 
  • Functional team members use their preferred self-service interface.

Each Catalog Enables the Full Development Lifecycle

Developers, testers, and DevOps engineers access data, using their preferred interfaces to the catalog, which is curated per release and from a specified timestamp, using the Delphix time machine: 

  • DevOps engineers use Jenkins to integrate data into DevOps pipelines. 
  • Developers use APIs to version data like code, alongside code and schema. 
  • Testers use the UI to incorporate data into test suites, with data rewind, refresh, and bookmark.

Globally Visualize Data Risk in All Development and Testing Environments

Data Control Tower aggregates information from connected Delphix masking engines to visualize discovered sensitive data — location, data type, access, and volume — and its associated risk, including masked state and who has access to the data. 

  • Global data risk visualization. 
  • Database-level sensitive data risk details.
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