Datanamic Data Generator for PostgreSQL Server

Automated Test Data Generation For PostgreSQL Databases
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Datanamic Data Generator for PostgreSQL Server Ranking & Summary

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  • Rating:
  • License:
  • Trial
  • Publisher Name:
  • Datanamic
  • File Size:
  • 5.1 MB

Datanamic Data Generator for PostgreSQL Server Tags


Datanamic Data Generator for PostgreSQL Server Description

Created as a useful tool, Datanamic Data Generator for PostgreSQL Server allows you to test your new PostgreSQL database application. To test an application’s performance effectively, you should have enough test data to expose potential database performance problems. Datanamic Data Generator for PostgreSQL comes with features that will help you generating meaningful test data for your PostgreSQL database quickly. Main features: Supported PostgreSQL versions: 7,8 and 9. Generates data that is appropriate for the database schema. More than 40 (country and language specific) built-in data generators. Load random data from external sources. Load random data from already existing data sources such as other tables. Intelligently chooses appropriate data generator for each column (can be customized if desired) based on column's characteristics. Option to disable triggers and foreign keys. Generates realistic data with intelligent use of the expression/mask generator (for for example postal codes) and a large collection of lists with names, addresses, cities, streets, etc. Command-line utility to further automate your data generation process is included. Insert data directly into the database or generate a SQL script with insert statements. High performance with thousands of inserts per second. Setting to define the percentage of null values. Setting to specify how many times a generated value must be used. Useful for master-detail data. e.g. A customer must have at least 5 orders but not more than 10. Referential integrity support. Create your own user defined data generators. Save your test data generation plan to a project file. Extensive validation of data generator settings. Execute pre/post data generation scripts. Automatic detection of changes in your database schema. Generate unique values option.


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