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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Datanamic Data Generator serves as an impressive tool for developers, enabling them to swiftly fill databases with thousands of rows of relevant and syntactically accurate test data, which is essential for effective database testing. An empty database does little to ensure the proper functionality of your application, highlighting the need for appropriate test data. Crafting your own test data generators or scripts can be a tedious process, but Datanamic Data Generator simplifies this task significantly. This versatile tool is beneficial for DBAs, developers, and testers who require sample data to assess a database-driven application. By making the generation of database test data straightforward and efficient, it provides an invaluable resource. The tool scans your database, showcasing tables and columns along with their respective data generation configurations, and only a few straightforward entries are required to produce thorough and realistic test data. Moreover, Datanamic Data Generator offers the flexibility to create test data either from scratch or by utilizing existing data, making it even more adaptable to various testing needs. Ultimately, this tool not only saves time but also enhances the reliability of your application through comprehensive testing.

Description

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
CA Flowdock No 
DXC Cloud No 
Eclipse IDE No 
Firebird Yes 
FitNesse No 
Git No 
GitHub No 
HCL Accelerate No 
InterBase Yes 
Jenkins No 
Mercurial No 
Microsoft Azure No 
Nexus AP & Payments Automation No 
Puppet Enterprise No 
RapidDeploy No 
Scratchpad No 
VMware Cloud No 
Visual Studio No 
Wipro Cloud Studio No 

Integrations

Amazon Web Services (AWS) Yes 
CA Flowdock Yes 
DXC Cloud Yes 
Eclipse IDE Yes 
Firebird No 
FitNesse Yes 
Git Yes 
GitHub Yes 
HCL Accelerate Yes 
InterBase No 
Jenkins Yes 
Mercurial Yes 
Microsoft Azure Yes 
Nexus AP & Payments Automation Yes 
Puppet Enterprise Yes 
RapidDeploy Yes 
Scratchpad Yes 
VMware Cloud Yes 
Visual Studio Yes 
Wipro Cloud Studio Yes 

Pricing Details

€59 per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Datanamic

Country

The Netherlands

Website

www.datanamic.com/datagenerator/

Vendor Details

Company Name

GenRocket

Founded

2012

Country

United States

Website

www.genrocket.com/enterprise-features/

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