Audience

Enterprises searching for a synthetic test data solution to model their applications and databases

About GenRocket

Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

Integrations

API:
Yes, GenRocket offers API access

Ratings/Reviews

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ease 0.0 / 5
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Company Information

GenRocket
Founded: 2012
United States
www.genrocket.com/enterprise-features/

Videos and Screen Captures

GenRocket Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation
Live Online
In Person
Support
Phone Support
24/7 Live Support
Online

GenRocket Frequently Asked Questions

Q: What kinds of users and organization types does GenRocket work with?
Q: What languages does GenRocket support in their product?
Q: What kind of support options does GenRocket offer?
Q: What other applications or services does GenRocket integrate with?
Q: Does GenRocket have an API?
Q: What type of training does GenRocket provide?

GenRocket Product Features