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.

Generate meaningful test data
Populate database directly or generate insert scripts
Data generation based on column characteristics
Customize data generators (if desired)
Large collection of pre-installed generators (country/language specific)
Databases supported: Oracle, MySQL, MS SQL Server, MS Access, MS Azure, SQLite, InterBase, Firebird and PostgreSQL

Features
Datanamic Data Generator is a software tool to generate test data for database testing purposes. It inserts generated data directly into the database, or builds insert SQL statements. Below you can find a list of features.

Data generation for multiple database platforms
Databases supported:

Oracle 9i, 10g, 11g, 12c, 18c and 19c.
MySQL 4, 5, 6 and 8.
PostgreSQL 7, 8, 9, 10, 11 and 12.
MS SQL Server 2000, 2005, 2008, 2012, 2014, 2016 and 2017.
MS Access 2000, 2003, 2007, 2010 and 2013.
Microsoft SQL Azure.
Firebird 1.x, 2.x and 3.x.
InterBase 6, 7, 2009 and XE.
SQLite 3.0 and higher.

Intelligently associates a column with a generator based on column characteristics
When the tool analyzes your database schema it automatically selects an appropriate generator for each column based on the column name, language used, data type, constraints etc. Ofcourse you cna change the generator for that column if that is desired.

Over 40 built in/predefined (and customizable) data generators
A large collection of lists, csv files (with addresses etc), date generators, string generators, expression generators etc is included.

Generate test data from scratch or from existing data
You can reuse data from existing sources such as another table or data in an external file.

Generation of data that matches to your database schema
Datanamic Data Generator reads the database schema details from your database. This schema information (metadata) is used for generating syntactically correct data that automatically matches your domain values (data types).

Output generated data to the database or to a SQL insert script
When you start generating the data, you can choose to output to the database or to a SQL file with insert statements.

Single-click test data generation
When you have connected to a database, Datanamic Data Generator automatically chooses the most appropriate data generation settings for each field. Ofcourse you can fine-tune these settings but you can also choose to generate data with this default settings. All you have to do then, is clicking the "Generate data" button.

Referential integrity support
Datanamic Data Generator for racle automatically controls referential integrity for linked tables. When data is inserted, it will be done in the correct order. When a child column is part of a relationship it will by default load random data from the parent column in the parent table. Datanamic Data Generator also correctly handles multi-column foreign key constraints.

Generates data based on user-defined masks
A powerful way to generate meaningful data that matches your needs is to fill a field using the "Random text using mask" generator. By using the "Random text using mask" fill type, you can generate strings that match a defined pattern. You can use the "random text using mask" generator with any data column that has a data type that accepts a string (char, varchar, clob, string, text, etc...) and user-defined types (domains) based on these string types.

Only for V.I.P