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SQL Data Generator is a fast, simple tool for generating realistic test data. 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.
Pricing
Price per unit is shown below.Price in:
PublisherPartNo Description Rate Download Size
P66U1M12 SQL Data Generator 1 User with 12 Months Support   369.00 AddtoCart
P66U1M24 SQL Data Generator 1 User with 24 Months Support   442.00 AddtoCart
P66U1M36 SQL Data Generator 1 User with 36 Months Support   515.00 AddtoCart
P66U5M12 SQL Data Generator 5 User with 12 Months Support   1476.00 AddtoCart
P66U5M24 SQL Data Generator 5 User with 24 Months Support   1768.00 AddtoCart
P66U5M36 SQL Data Generator 5 User with 36 Months Support   2060.00 AddtoCart
P66U10M12 SQL Data Generator 10 User with 12 Months Support   2583.00 AddtoCart
P66U10M24 SQL Data Generator 10 User with 24 Months Support   3094.00 AddtoCart
P66U10M36 SQL Data Generator 10 User with 36 Months Support   3605.00 AddtoCart
Features

  • Create large volumes of data within a couple of clicks in SQL Server Management Studio
  • Generate meaningful test data at row level
  • 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
  • Extremely fast data generation
  • Over 60 built-in generators with sensible configuration options
  • 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
  • Inter-column dependency support
  • Command-line support for automated data generation
  • Import data from existing data sources
  • Automatic data conversion when the source data is a different data type
  • Optionally disable triggers and constraints to avoid interfering with database logic
  • Support for Microsoft SQL Server 2005, 2008, 2012 R2, 2014, and SQL Server on Amazon RDS