Delphix
The leading data virtualization platform
With the help of the data virtualisation platform Delphix, businesses can safely manage, control, and distribute data from numerous sources to different stakeholders. By offering virtual duplicates of databases and files, it facilitates data operations by enabling teams to view and manipulate data without requiring actual data duplication. The data virtualisation features of Delphix facilitate data provisioning, speed up development, and enhance data privacy and compliance.

Data Virtualization
Data Masking
Data Compliance
Data Security
Data Monitoring
Data Encryption
Data Management
Data Versioning
Data Integration
Data Replication
How Delphix Works

Delphix works as a data virtualization layer between data consumers (applications, users) and various data sources.
- Data Sources: Delphix connects to various data sources, including databases, file systems, and applications.
- Delphix Engine: The Delphix engine is the core component responsible for data virtualization and management.
- Data Containers: Data containers store virtual copies of databases and files with their own isolated storage.
- Data Pods: Data pods are lightweight containers that host virtual database instances.
- Data Masking Engine: The data masking engine anonymizes sensitive data based on predefined masking rules.
- Web-Based Console: Delphix provides a web-based console for managing data operations, masking, and access controls.
1. Data Sources
2. Delphix Engine
3. Data Containers
4. Data Pods
5. Data Masking Engine
6. Web-Based Console
Use Cases of Delphix

Data Virtualization
Creating virtual copies of databases for development, testing, and analytics without the need for full data duplication.

Data Masking and Privacy
Masking sensitive data to ensure data privacy and compliance with regulations like GDPR.

Agile Development
Enabling faster software development and testing by providing data subsets to developers on-demand.

Test Data Management
Provisioning test data efficiently, reducing data sprawl and data storage costs.

Data Governance
Improving data governance and data security through centralized data management.

Data Analytics
Enabling self-service access to production-like data for data analysis and reporting.

Data Migration
Facilitating data migration projects by simplifying the provisioning of data to target environments.

Database Upgrades
Streamlining database upgrades and schema changes by providing isolated environments for testing.

Cloud Data Management
Supporting data management and provisioning in cloud environments.

DevOps and CI/CD
Integrating with DevOps pipelines and continuous integration/continuous deployment (CI/CD) processes.