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Introduction to Benerator


The core goals of Benerator are

  • Generation of data that satisfies complex data validity requirements
  • Anonymization of production data for showcases and serious performance testing projects
  • Efficient generation of large data volumes, scaling up to companies with billions of customers and Big Data projects
  • Early applicability in projects
  • Little maintenance effort with ongoing implementation through configuration by exception
  • Wide and easy customizability
  • Applicability by non-developers
  • Intuitive data definition format
  • Satisfying stochastic requirements on data
  • Extraction and anonymization of production data
  • Supporting distributed and heterogeneous applications
  • Establishing a common data generation platform for different business domains and software systems


Data Synthesization

Performance test data can be completely synthesized. A basic setup can be imported e.g. from DbUnit files, CSV files and fixed column width files. A descriptor file configures how imported data should be processed and adds completely synthesized data. The processed or generated data finally is stored in the system under test.

Production Data Anonymization

Production data can be easily extracted from production systems. Tables can be imported unmodified, filtered, anonymized and converted.

State of the Benerator

Benerator is developed and continuously extended and improved since June 2006. Benerator is mainly used and tested best for the data file and database data generation, for these applications Benerator should help you with almost all your data generation needs out of the box - and extending Benerator for specific needs is easy.

XML-Schema, on the other hand, allows for an extraordinarily wide range of features. Benerator's XML support is limited to features that are useful for generating XML data structures (no mixed content) and does not yet support all variants possible with XML schema. The elements <unique>, <key> and <keyRef> cannot be handled automatically, but require manual configuration. The following features are not yet implemented: <group> , <import>, <all> and <sequence> with minCount != 1 or maxCount != 1. If you need support for some of these, please contact us.

Building Blocks

Database Support

All common SQL data types are supported.

Benerator was tested with and provides examples for

  • Oracle 19c (thin driver)
  • DB2
  • MS SQL Server
  • MySQL 5
  • PostgreSQL 12
  • HSQL 2.x
  • H2 1.2
  • Derby 10.3
  • Firebird

Benerator Editions

Benerator comes in different editions which differ by feature set, scalability and performance:

Performance Comparison

The results below show Benerator's generation and anonymization performance on a plain MacBook Air (2020) with standard equipment and Azul Java Virtual Machine (CE = Community Edition, EE = Enterprise Edition):

Benchmark CE 1.1.2 CE 3.0.0 EE 3.0.0 / 1 Thread EE 3.0.0 / 4 Threads
gen-string.ben.xml 37 58 336 1,095
gen-person-showcase.ben.xml 26 119 111 327
anon-person-showcase.ben.xml 31 120 113 328
anon-person-regex.ben.xml 346 537 838 1,381
anon-person-hash.ben.xml 386 500 1,299 1,287
anon-person-random.ben.xml 576 838 1,514 1,736
anon-person-constant.ben.xml 2,210 2,745 2,646 2,162


The numbers are million entities generated/anonymized per hour.

Compared to CE 1.1.2's generation engine,

CE 3.0.0 is 1.5-2 times faster

and EE 3.0.0 with 4 threads is roughly 4 times faster

and scales further with the number of CPUs on your machine.

Benerator Community Edition (CE)

Benerator started as an open-source project and is committed to further improve and extend with and from the feedback of its user base and its contributors. It is the most powerful open-source data generator and is competitive with all commercial products.

However, it has two historic limitations:

  • No neat graphical user interface
  • Only single-threaded generation and anonymization

Though, Benerator Community Edition still has an impressive performance.

Benerator Light & Professional Edition

The rapiddweller Benerator Light & Professional Editions aim at providing an easy and effortless start for using Benerator and to benerate model-based realistic data in simple as well as complex scenarios. This includes:

  • Benerator UI
  • Ready-to-use templates
  • Demos
  • Best practices from countless benerator projects
  • A powerful RESTful / JSON API
  • Container support for Docker / Kubernetes / OpenShift
  • And much more.

Benerator UI

Benerator UI is an integrated graphical development environment with

  • Auto-generation of Benerator models (e.g. from JSON files)
  • Auto-scanning and model generation from connected databases
  • Multiple Wizards
  • Editing support by context-sensitive auto-completion
  • Code snippets for many use-cases
  • Templates for projects and files
  • Project management and project collaboration
  • Task management
  • Data preview
  • Log analysis and guidance on errors
  • And much more.

Benerator Enterprise Edition (EE)

Extends Benerator Community Edition and improves it in many respects. With highly-optimized engine and generation-related components and with multithreaded execution support, its performance on a single machine is about 10x the performance of the Community Edition and Benerator can easily scale over multiple machines in your private cloud / cluster setup.

Improvements against the Community Edition are

  • Improved performance on single threading
  • Multithreaded data generation and anonymization
  • Anonymization Reporting supports you in compliance checking
  • Benerator UI: An integrated graphical development environment with editing support, project and task management
  • JSON support
  • JMS support: ActiveMQ, RabbitMQ and more
  • Kafka support
  • Industry modules: Logistics, Insurance, Finance, ...


Learn more about all editions and its features on or Book a Demo.