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What is Test Data Manager?

Utilize Test Data Manager to identify, create, manage, and distribute test data among all team members, effectively addressing the complexities of data privacy and compliance that arise from regulatory mandates and internal policies. The TDM Discovery and Profiling tool plays a crucial role in identifying personally identifiable information (PII) across diverse data sources, while a heat map organizes this information according to its severity level. Additionally, test data engineers alongside compliance professionals can scrutinize and categorize the data to determine necessary actions. Stakeholders can benefit from detailed reports generated in PDF format, which serve as proof of compliance. This all-encompassing strategy not only improves data management practices but also fosters a culture of compliance confidence throughout the organization. By leveraging Test Data Manager, teams can stay proactive and alert in addressing any data privacy issues that may arise. This ensures that the organization not only meets compliance standards but also builds trust with its stakeholders.

What is GenRocket?

Solutions for synthetic test data in enterprises are crucial for ensuring that the test data mirrors the architecture of your database or application accurately. This necessitates that you can easily design and maintain your projects effectively. It's important to uphold the referential integrity of various relationships, such as parent, child, and sibling relations, across different data domains within a single application database or even across various databases used by multiple applications. Moreover, maintaining consistency and integrity of synthetic attributes across diverse applications, data sources, and targets is vital. For instance, a customer's name should consistently correspond to the same customer ID across numerous simulated transactions generated in real-time. Customers must be able to swiftly and accurately construct their data models for testing projects. GenRocket provides ten distinct methods for establishing your data model, including XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, and Salesforce, ensuring flexibility and adaptability in data management processes. These various methods empower users to choose the best fit for their specific testing needs and project requirements.

Media

Media

Integrations Supported

1Data
CA Flowdock
Capgemini Intelligent Automation Platform
Cloud Foundry
DXC Cloud
Delphix
Eclipse IDE
FitNesse
Gerrit Code Review
GitHub
IBM WebSphere Application Server
Jenkins
Maven
Microsoft Azure
Puppet Enterprise
Salesforce
Stash
Vagrant
Visual Studio
Wipro Cloud Studio

Integrations Supported

1Data
CA Flowdock
Capgemini Intelligent Automation Platform
Cloud Foundry
DXC Cloud
Delphix
Eclipse IDE
FitNesse
Gerrit Code Review
GitHub
IBM WebSphere Application Server
Jenkins
Maven
Microsoft Azure
Puppet Enterprise
Salesforce
Stash
Vagrant
Visual Studio
Wipro Cloud Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Broadcom

Date Founded

1991

Company Location

United States

Company Website

www.broadcom.com/products/software/continuous-testing/test-data-manager

Company Facts

Organization Name

GenRocket

Date Founded

2012

Company Location

United States

Company Website

www.genrocket.com/enterprise-features/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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