Related Products
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About
Fast test data generation engine with about 70 built-in functions and expression processor enables users to define complex test data with dependencies, internal structure, and relationships. The product analyzes existing database schema and resolves master-detail key structure (relationships) automatically. Value Library is a predefined data sets: names, countries, cities, streets, currencies, companies, industries, departments, regions, etc. Variables and Named Generators features provide a way to share data generation properties to similar columns. Intelligent schema analyzer makes your data realistic without extra project modifications and "data by example" feature makes data more realistic without extra efforts.
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About
Datanamic Data Generator is a powerful data generator that allows developers to easily populate databases with thousands of rows of meaningful and syntactically correct test data for database testing purposes. An empty database is not useful for making sure your application will work as designed. You need test data. Writing your own test data generators or scripts is time consuming. Datanamic Data Generator will help you. The tool can be used by DBAs, developers, or testers, who need sample data to test a database-driven application. Datanamic Data Generator makes database test data generation easy and painless. It reads your database and displays tables and columns with their data generation settings. Only a few simple entries are necessary to generate comprehensive (realistic) test data. The tool can be used to generate test data from scratch or from existing data.
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About
It can instantly provide generators based on table and column names, field length, data types, and other existing constraints. They can be customized to meet your requirements. Create large volumes of data within a couple of clicks in SQL Server Management Studio. Column-intelligent data generation – generate data in one column based on the data in another. Greater flexibility and manual control for creating foreign key data. Shareable custom generators – save regexp and SQL statement generators to share with your team. Write your own custom generators in Python, so you can create any extra data you need. Seeded random data generation allows you to generate the same collection of data every time. Foreign key support for generating consistent data across multiple tables.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
IT teams searching for a software that produces data rows and schema objects for testing purposes
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Audience
Companies looking for a realistic test data platform
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Audience
IT teams in need of a solution to create large volumes of data
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
€59 per month
Free Version
Free Trial
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Pricing
$405 per user per year
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDTM Data Generator
sqledit.com/dg/
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Company InformationDatanamic
The Netherlands
www.datanamic.com/datagenerator/
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Company InformationRedgate Software
Founded: 1999
United Kingdom
www.red-gate.com/products/sql-development/sql-data-generator/
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Categories |
Categories |
Categories |
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Integrations
SQL Server
Azure DevOps Labs
Azure SQL Database
Firebird
IBM Db2
IBM Informix
InterBase
MySQL
PostgreSQL
SQLite
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Integrations
SQL Server
Azure DevOps Labs
Azure SQL Database
Firebird
IBM Db2
IBM Informix
InterBase
MySQL
PostgreSQL
SQLite
|
Integrations
SQL Server
Azure DevOps Labs
Azure SQL Database
Firebird
IBM Db2
IBM Informix
InterBase
MySQL
PostgreSQL
SQLite
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