Frequently Asked Questions (BENERATOR FAQ)

The recommended minimum system requirements for installing Benerator are as follows: OS: Linux; Virtual Layer: Docker/Podman or Kubernetes; CPU: >=4(>2GHz); RAM: >8GB; Container Storage: 5 GB, Project Data: >5 GB

Benerator releases software updates periodically to improve its features, fix bugs, and enhance performance. You can check for updates on the official Benerator website or subscribe to their newsletter for notifications.

With Benerator, you can generate various types of test data, including but not limited to strings, numbers, dates, addresses, email addresses, phone numbers, and more. Benerator provides built-in generators for these data types, allowing you to create realistic and diverse test data.

Yes, Benerator supports generating test data in multiple languages. It provides localization options and language-specific generators to generate data in different languages, enabling you to test internationalization and localization aspects of your applications.

Benerator offers features to generate test data that adheres to specific business rules. You can define custom rules, constraints, and validations using Benerator’s rule-based generation capabilities. This ensures that the generated test data complies with your business logic and requirements.

Benerator allows you to simulate various types of user behavior by generating test data that represents different user profiles, preferences, and actions. You can define scenarios and use Benerator’s data generation capabilities to create realistic user data for testing different user interactions and workflows in your application.

Yes, Benerator supports NoSQL database test data generation. It provides connectors and plugins for popular NoSQL databases, allowing you to generate realistic test data for NoSQL-based applications.

Benerator provides generators for generating random and realistic personal information, such as names, addresses, email addresses, phone numbers, and more. You can configure these generators to generate data that closely resembles real-world personal information, enabling comprehensive testing of your applications.

Benerator Enterprise includes modules to process AVRO, PACS, EDIFACT, JSON, XML and further industry specific standards. Approach us for a detailed list of interchange formats.

Benerator supports JDBC databases such as Db2, HSQL, H2, Jaybird, MS SQL, MySQL, Oracle, PostgreSQL, Yellowbrick and more.

Benerator reads data from multiple source systems such as databases, files, message queues (JMS, Kafka) and many more.

Benerator can read with high performance from any JDBC database. The test data tool also supports NoSQL databases like MongoDB. Approach us to find out if we can also connect to your storage technology.

Yes, Benerator can connect with Apache Kafka and consume messages from its topics efficiently. This ability makes Benerator a versatile tool for testing data pipelines involving Kafka. Please reach out to us if you need assistance with integrating Benerator with your specific Kafka setup.

Multithreaded data generation and anonymization means that Benerator Enterprise Edition can run multiple processes concurrently. This allows it to generate and anonymize data more quickly and efficiently, thereby reducing the time required for these operations.

The performance of Benerator Enterprise Edition on a single machine is about ten times the performance of the Community Edition. This improvement largely depends on the specifics of your setup and can further be amplified when using multiple machines.

The performance metrics of Benerator during test data generation can vary depending on factors such as the complexity of data models, the size of the dataset, the hardware infrastructure, and the database performance. Benerator is designed to generate data efficiently, and you can optimize its performance by following best practices and optimizing your environment.

es, Benerator Enterprise Edition is designed to easily scale over multiple machines in your private cloud or cluster setup. This means you can distribute the load of data generation and anonymization tasks across several machines to enhance performance and efficiency.

Yes, Benerator can be integrated with Tricentis Tosca to enhance your testing processes. By doing so, you can leverage Benerator’s advanced data generation capabilities within Tosca’s testing environment.

Absolutely. Once Benerator is integrated with Tosca, you can use it to generate a wide variety of test data. This data can then be imported into Tosca for use in your test cases. Approach us to find out about our integration for our clients in Finance & Banking integrating Benerator with Tosca DI.

If you encounter any bugs or issues while using Benerator, we encourage you to report them through our official bug tracking system or support channels. Regarding the Community Edition please create a new Issue on GitHub Issues. For our premium subscriptions please approach us by Chat, Contact Form, Email or Phone.

Benerator provides customer support through various channels, including Chat, Contact Form, Email, GitHub Issues, or Phone. Our dedicated support team is always ready to assist you in resolving any technical issues and answering questions related to Benerator. Additionally, we offer custom-tailored support packages designed to meet the specific needs of our enterprise customers.

Yes, Benerator offers data obfuscation and anonymization features to ensure secure testing. These features allow you to mask sensitive data and generate realistic but anonymized test data, protecting the privacy and confidentiality of personal or sensitive information.

The security of test data generated with Benerator depends on various factors, including the implementation of data privacy measures, compliance with security best practices, and the environment in which Benerator is used. Benerator itself does not introduce security vulnerabilities, but it is essential to handle and protect the generated test data appropriately within your testing processes.

To automate the test data generation process with Benerator, start by installing Benerator on your machine or server, ensuring to follow all the recommended configurations during the installation process. Once installed, you’ll need to define the structure of your data using Benerator’s modeling tools. This is where you specify the type, range, format, and relationships of the data you need. Next, configure the rules for data generation in Benerator, which will dictate how the data should be generated based on the defined data models. For automation, scripts can be written within Benerator to conduct the data generation process. These scripts can be tailored to run on specific triggers or at regular intervals, facilitating an automatic operation. To further the automation, use cron jobs or other task scheduling tools to set up your scripts to run at predetermined times. This will ensure that you always have fresh data when you need it. Benerator can also be integrated with various automation frameworks and CI/CD pipelines, allowing the generation and utilization of test data as part of your automated testing processes. After setting up, it’s important to test the process in a validation environment to ensure the automation is functioning as expected and that data is being generated and used correctly. Please note that this is a general guide, and exact steps may vary based on your specific needs and setup. For more detailed instructions, please refer to Benerator’s official documentation and user guide or contact the Benerator team.

Benerator editions: Light, Professional, and Enterprise are available. The editions differ by amount of users, container and cloud features, included processing modules, and performance. Start a proof of concept to find out which versions suit your requirements best.

Benerator Editions Light, Professional, Enterprise are paid subscriptions from rapiddweller GmbH. The Benerator Core is open-source and released under a dual license (GPL with exceptions). Check out our community edition rapiddweller-benerator-ce on GitHub.

Absolutely, you can upgrade from the Community Edition to the Enterprise Edition to leverage the numerous improvements and enhanced performance it provides. Notably, the Enterprise Edition supports all features of the Community Edition Benerator models, along with additional model features.

Download our free Benerator manual and check out our docs. If there are any questions, please get in touch and contact us.

We provide comprehensive documentation for Benerator on our official Benerator docs. The documentation covers various aspects of Benerator, including its features, installation and setup guide, usage examples, API references, and more. Also download our our free Benerator manual.

Yes, we appreciate contributions from our user community. If you’ve found an area that could be improved or want to share a usage example, feel free to create a GitHub Issue or Pull Request.

Yes, API documentation for Benerator is readily available. It comes as part of our paid subscriptions and can be accessed at the /docs endpoint. The documentation includes examples and provides live-testing options for ease of understanding and application.

Yes, Benerator’s user guide is included in the documentation (docs.benerator.de). It provides detailed explanations on how to use Benerator and its features effectively. Also you might want to check the demos in the Benerator community edition on GitHub.

Industry specific modules for Banking and Finance are part of the Benerator Enterprise edition. Benerator is used for obfuscating millions of transaction records per hour in our projects with leading payment providers.

Benerator can be tailored to a wide range of industry-specific use cases. These include but are not limited to data testing for healthcare systems, financial systems, retail inventory databases, telecommunication data models, and more. It can help these industries ensure data integrity, accuracy, and security.

Yes, Benerator’s flexible data modeling allows it to simulate a variety of real-world scenarios. Whether you need to test system behavior under heavy load, data migration scenarios, or other specific situations, Benerator can be configured to meet your needs.

According to the International Software Testing Qualifications Board (ISTQB) Syllabus test data is “Data needed for test execution”. Tools such as Benerator can create test data for load tests, performance tests, unit tests, test automation and business tests.

Dummy data or mock data can be generated with test data generators such as Benerator. Define your model and create realistic looking data smart.

Built-in generators in Benerator create large volumes of fake data that look realistic. You can read and combine data from multiple sources to create your unique data set for testing your application.