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What is Redgate SQL Data Generator?

Data can be swiftly generated using table names, column definitions, field sizes, data types, and other established parameters. These data generators are highly customizable to meet your individual requirements. In SQL Server Management Studio, significant volumes of data can be created with just a few clicks. The system supports column-specific data generation, allowing the value in one column to be influenced by another's content. Users gain increased flexibility and control when generating foreign key data, which is essential for relational databases. Additionally, custom generators can be shared with your colleagues, enabling the storage of regular expressions and SQL statement generators for team collaboration. You also have the option to create your own generators using Python, which allows you to generate any extra data that may be necessary. Using seeded random data generation ensures that the same dataset is consistently produced in every run. Furthermore, foreign key support plays a crucial role in preserving data integrity across different tables, enhancing both efficiency and reliability in the process. This adaptability in data generation not only simplifies workflows but also significantly boosts productivity in database management tasks, making it a valuable tool for developers and data analysts alike. With such capabilities, your data generation process becomes both innovative and seamless.

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

Amazon Web Services (AWS)
Azure DevOps Labs
BlazeMeter
DXC Cloud
Decision Moments
FitNesse
Gatling Enterprise
GitHub
IBM WebSphere Application Server
Maven
Nexus AP & Payments Automation
Puppet Enterprise
Rackspace OpenStack
RapidDeploy
SQL Server
Salesforce
Scratchpad
Stash
VMware Cloud
Visual Studio

Integrations Supported

Amazon Web Services (AWS)
Azure DevOps Labs
BlazeMeter
DXC Cloud
Decision Moments
FitNesse
Gatling Enterprise
GitHub
IBM WebSphere Application Server
Maven
Nexus AP & Payments Automation
Puppet Enterprise
Rackspace OpenStack
RapidDeploy
SQL Server
Salesforce
Scratchpad
Stash
VMware Cloud
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

$405 per user per year
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

Redgate Software

Date Founded

1999

Company Location

United Kingdom

Company Website

www.red-gate.com/products/sql-development/sql-data-generator/

Company Facts

Organization Name

GenRocket

Date Founded

2012

Company Location

United States

Company Website

www.genrocket.com/enterprise-features/

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