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Databene Benerator

Performing realistic load and performance tests.

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Manufacturer :

Databene

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Tool Support link HERE

Tool Information

Introduction

Tool Summary

Benerator supports in performing realistic load and performance tests. It is a framework for generating realistic and valid high-volume test data for the system under test. Since data representation and constraints are platform independent, benerator can provide a rich set of plugin interfaces for custom extensions and mappings, allowing virtually any platform to be targeted with data generation. Benerator supports database systems, XML, XML Schema, CSV, Flat Files and Excel(TM) sheets. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalize in language and region (via nestable datasets).

Last Release Year ['Active'=Current]:

Active

Since (maturity):

2010

Databene Benerator
	Tool Scope	Test Automation Framework
	Application Rights	Commercial, Demo, Free Use, Opensource
	Since	2010
	Company	Databene
	Support	Tool Support link HERE
	Download	Download HERE

Features

Generic approach - not limited to a special kind of system or platform - XML and relational database.
Usability - Usable for load testing
High Volume Processing - Supports resources of unlimited size.
Performance - the minimum requirement for any generation feature is to generate at least one million objects per hour on common development hardware
Multithreaded - Can run multithreaded, making use of multi-core systems.
Optimized - Database access is highly optimized, supporting persistence of several thousand rows per second.
Domain packages - provide for easy localized and regionalized creation of commonly used entities
Data - supports single and multi-field constraints e.g. generating consistent values for a person's gender, salutation and first name.
Validate generated data - Data will be generated according to the constraints definitions. If the tested application uses secret knowledge for input validation, a custom validator may be plugged in to filter out inadequate data sets, e.g. for validating addresses against a postal database.
Dynamic data creation or access for stress test applications (planned).
Command line invocation for continuous integration (planned).
Providing an initial database setup for application deployment (planned).
Providing and ensuring consistent data for unit tests (planned).
Component based: Predefined generators provide generation of simple data types, arrays, collection and strings that match regular expressions
extensibility by custom generators : A clear component contract for generators provides for easy implementation of custom generators and clean life cycle and resource management.
internationalization : Generated data can be converted with different formats (like time values) or different languages (like salutations or titles).
dataset concept : Data can be categorized and grouped hierarchically (e.g. cities of a state, country or continent).
Customizable - accepts input in multiple formats from multiple sources : Specifying a data model is easy. A multitude of generator mechanisms is provided, like file or database import, regular expressions generators, sample lists, distribution functions and different input formats.
Provides output in multiple formats at the same time (planned)
Import of complex data (planned): Import of entites (or -better- entity graphs) from databases and files.
offers powerful randomization options and is extendable by custom ones.
Supports grouping of data into hierarchical data sets. data sets may overlap and form several parallel types of hierarchy.
Existing data can be imported and anonymized by overwriting certain attributes with generated data.
All common SQL data types are supported

Databene Benerator 150.png

Getting Started

Support for all major databases - All common SQL data types are supported

Oracle 10g (thin driver)
DB2
MS SQL Server
MySQL 5
PostgreSQL 8.2
HSQL 1.8
H2
Derby 10.3
FirebirdÂ

Limitations

Java 6.0 or newer is required
The following SQL types are not yet supported: ARRAY, DISTINCT, NULL, STRUCT

Files & Media

Media & Files

User Guide:

View User Guide

External Articles:

Databene Benerator tutorials

FAQ's

Forum

Tool Images:

Price Information

DISCLAIMER

In any case of miss-information between QATestingTools and the manufacturer call-center or website, the manufacturer price is the one you should take in consideration,the QATestingTools is NOT responsible for any miss-understanding or miss-information since we are NOT always informed on prices programs updates. In all cases please get more details from manufacturer.

Contact Manufacturer for exact prices information

KickOff Pricing:

Free use

For commercial license: Please contact Manufacturer for details

Specifications

Tool Specifications

Application Rights:

Commercial

Demo

Free Use

Opensource

Tool Scope:

Test Automation Framework

Testing Methods:

Tool Objectives:

Management Features:

Data Import

Hierarchical View Trees

Supported Technologies:

Database

DB Procedures

IBM DB2

IBM DB2 UDB

MS SQL

MySQL

MySql5

Oracle

PostgreSQL

File Systems

XML

Data Generator Ability:

Generate from Production

Generate Test Data

User Interface Available:

Command Line

Plugin

Reporting Formats:

CSV

MSExcel

XML

Training:

Blog

Documentation OnSite

FAQ

Forums

Manual

Tutorial

Video Tutorials

Data Sourcing:

DB Direct Connection

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Databene Benerator

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Databene Benerator

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Getting Started

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Price Information

DISCLAIMER

Tool Specifications

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