8 Best Test Data Generator Tools

Robust testing methodologies and reliable test data generation are crucial in today’s fast-paced software development landscape.

The quality of test data directly impacts testing effectiveness, uncovering potential issues and ensuring software stability.

Software developers and testers often require a large amount of data in the database for application testing. Manually inserting data is costly and time-consuming, while writing scripts can be tedious.

Remarkable Test Data Generator Tools simplify the work of software developers and testers, offering diverse features and functionalities.

By automating data generation, testers save time, minimize errors, and enhance efficiency.

This article explores popular Test Data Generator Tools helping testers make informed decisions to meet their testing needs.

What is Test Data Generator?

Test Data Generator is a software tool used to create test data for testing purposes. This tool automates the process of creating and managing realistic test data sets, enabling testers to quickly generate large volumes of complex data tailored to specific requirements. This makes it easier and more efficient for testers to execute tests involving multiple data types, conditions, and scenarios.

Features of Test Data Generators

• Automation: Test data generators are the ultimate time-savers for testers! They automate the process of creating test data, acting as a trusty helping hand that takes care of the job for you. It’s like having your very own assistant in the world of testing.
• Data Reusability: Test Data Generator Tools empower testers to efficiently conduct repetitive or regression testing by creating reusable test data sets. By leveraging these data sets across multiple tests, you can save valuable time and effort.
• Diverse Data Generation: These amazing tools provide a multitude of options to generate diverse and dynamic data sets, encompassing a vast array of scenarios and conditions. With such versatility at your fingertips, you can embark on an exciting journey of exploration, uncovering endless possibilities and thoroughly testing your application.
• Customization: Testers are empowered to define specific parameters and criteria for generating data – data types, ranges, formats, and relationships between elements. It’s like having complete control over crafting your test data, just the way you want it.
• Randomization: They offer exciting possibilities for randomization, empowering the creation of vast amounts of data with distinctive features. This guarantees that your test data is not only realistic but also truly reflective of real-world situations.
• Realistic Data Representation: They create data sets that look and feel just like real-world scenarios. This makes software testing more accurate and effective. It’s like testing your application in a real-world environment.
• Scalability: These powerful tools can effortlessly generate test data at scale, catering to the demands of testing large-scale systems and applications. No matter how big or complex your system is, these tools have got you covered.
• Efficiency in Load Testing: Test data generators are like superpowers for load testing and stress testing. They unleash the true potential of your system and reveal how it performs under the weight of massive data volumes. It’s the ultimate challenge for your application, pushing it to its limits and beyond!
• Data Privacy and Security: These powerful tools provide robust features to safeguard and anonymize your sensitive information. With their help, you can ensure the utmost confidentiality of your personal or sensitive data during testing.

Test Data Generator Tools Software

#1. DTM Data Generator

DTM Data Generator is a software product specifically developed for generating data rows and schema objects for various testing purposes. These include test database population, performance analysis, QA testing, and test fulfillment.

The primary objective of this generator is to offer developers and quality assurance engineers high-quality and realistic test arrays. It accomplishes this by automatically producing data values and, if desired, schema objects such as tables, views, procedures, triggers, and more.

Features:

• The software provides support for a wide range of popular database systems, including Microsoft SQL Server, Oracle, IBM DB2, Sybase, Informix, MySQL, PostgreSQL, Interbase/Firebird, and more.
• It also offers compatibility with various desktop formats such as SQLite, Microsoft Access, Excel, DBF, and others. Additionally, the tool facilitates unified database interfaces like ODBC, OLE DB, and native Oracle Call Interface.
• The product automatically analyzes the existing database schema and resolves master-detail key structure (relationships).
• The software offers both 32-bit and 64-bit builds, providing support for a wide range of modern Windows versions, including XP, Vista, Windows 7, Windows 8/10 (desktop), and Windows Server 2003 onwards.
• Extensive array of external data sources: databases, CSV/text files, Excel spreadsheets, XML documents, JSON files, Access files, web resources, user-defined scripts, and more.

#2. Generatedata.com

Generatedata.com is an open-source project available on GitHub, requiring developer experience for setup and configuration. It provides a simple yet powerful solution to generate realistic test data for developers or testers looking to quickly create meaningful sample datasets. The service is highly customizable, allowing users to control the amount of randomness and complexity in their dataset.

Features:

• User-friendly interface
• You can get a sneak peek of what you’re creating as you build it, adding an extra dash of excitement to your process!
• It has over 30 types of data available for generating, such as names, emails, countries, and more!
• It supports 10+ generation formats including JSON, CSV, XML, SQL, and more.

#3. Mockaroo

Mockaroo is a powerful test data generator that offers its users the ability to create realistic and accurate mock data quickly. It is a great tool for developers, testers, analysts, designers and other professionals who need access to large amounts of test data for their projects. With Mockaroo, you can quickly generate millions of rows of test data in a variety of formats, including CSV, JSON, SQL and Excel. You can also customize your own test data to fit the needs for your project or use pre-defined schemas that are already available.

Features:

• It has an intuitive user interface and is incredibly easy to use.
• You can customize your data by changing the column names, types, length and values.
• You can also select from a range of different data types including strings, numbers, dates, timestamps and Booleans.
• It also offers various tools that make it even simpler to generate test data quickly. These include the ability to copy and paste columns from existing data sources, create multiple rows at once and generate random values for strings, numbers and dates.
• It also supports custom functions — so you can add your own logic when generating test data.

#4. Redgate SQL Data Generator

Redgate SQL Data Generator is an intuitive, guided test data creation tool that helps developers and testers quickly generate realistic and relevant test data for their applications. It can dramatically reduce the time taken to populate databases with high-quality test data, enabling developers and testers to perform meaningful tests without having to manually create sample data.

With Redgate SQL Data Generator, users can easily create realistic test data for any application or database. It has a built-in library of sample data sources, allowing users to quickly create fake data that is tailored to their needs. Additionally, its flexible rules allow users to generate customized data sets that reflect the real world.

Features:

• Effortlessly generate massive amounts of data with just a few clicks in SQL Server Management Studio.
• Create meaningful test data at the row level.
• Column-intelligent data generation involves generating data in one column based on the information in another.
• Enhanced flexibility and increased manual control are provided for the creation of foreign key data.
• Highly efficient data generation at an exceptional speed.
• With over 60 built-in generators offering practical configuration options.
• Shareable custom generators allow you to save regexp and SQL statement generators, which can be easily shared with your team.
• You can write your own custom generators in Python, allowing you to easily create any additional data you might need.
• With seeded random data generation, you can generate the same collection of data every single time.
• We can use foreign key support to ensure consistent data across multiple tables.
• It provides Inter-column dependency support
• It provides command-line support for automated data generation
• You can also import data from existing data sources
• To prevent interference with the database logic, you may consider disabling triggers and constraints as an optional step.
• It provides support for various versions of Microsoft SQL Server, including 2005, 2008, 2012 R2, 2014, 2016, 2017, and even SQL Server on Amazon RDS.

#5. MOSTLY AI

MOSTLY AI is a global leader in synthetic data generation. This synthetic data platform enables enterprises to unlock, share, fix, and simulate data, leveraging the power of artificial intelligence. Serving customers in banking, insurance, and telecommunications, MOSTLY AI empowers digital transformation and facilitates secure data-driven decision-making.

Mostly.ai provides an innovative test data generator for faster and more efficient application development. The tool creates realistic datasets effortlessly, saving time and resources.

Mostly.ai can be integrated into existing development workflows and used in a variety of contexts. It also works with datasets from multiple sources, so developers can quickly create custom datasets tailored to their needs.

Mostly.ai prioritizes privacy and security, following strict standards and encryption algorithms.

Additionally, it offers AI-enabled coding assistance and performance optimization solutions.

Mostly.ai’s test data generator is the perfect tool to help you take your projects to the next level. With its intuitive interface, powerful algorithms and robust security features, it will quickly become an essential part of your development workflow.

Features:

• A straightforward and user-friendly interface. Its intuitive web-based UI simplifies the process for users to generate high-quality synthetic data while ensuring privacy and security.
• In-built privacy mechanismsMOSTLY AI ensures privacy-secure synthetic data as the default, incorporating in-built automated privacy mechanisms.
• Its detailed Quality Assurance reports provide a comprehensive overview of your synthetic data, facilitating a seamless quality assessment.
• It handles various types of structured data, including numerical, categorical, and date-time variables, which are of utmost importance.
• This Synthetic Data Platform comprehends the intricate relationships between tables in a relational database environment, enabling the synthesis of complex data structures.
• A variety of data connectors available for seamless data transfer between multiple storage services such as MySQL, PostgreSQL, Oracle, and more.
• Connect to MOSTLY AI via an API and effortlessly integrate synthetic data generation capabilities into your applications, systems, or processes.
• You can effortlessly deploy the MOSTLY AI Synthetic Data Platform in a scalable cluster environment using Kubernetes or OpenShift.

#6. DATPROF

DATPROF Privacy is a versatile tool (data masking tool as well as test data generation tool) that not only masks data but also generates synthetic test data.

It supports major relational databases and allows users to easily add generation functions to their masking templates. This approach maintains existing relationships between tables while using synthetic data instead of sensitive production data.

Additionally, it enables the generation of test data across multiple systems.

Features:

• It protects privacy-sensitive test data by either masking or generating it, and then using it for development and testing.
• It produces synthetic test data, allowing you to create test cases that align seamlessly with your tests.
• Ensures privacy and compliance with regulations like GDPR, PCI, and HIPAA.
• It allows you to generate synthetic data for testing purposes.
• It supports all major relational databases like SQL Server, Oracle, DB2, and many more.
• You can access to over 50 built-in generators with various languages to generate fresh data or replace existing data.

#7. K2view

K2view Synthetic Data Generation tools have a unique and innovative approach to generating synthetic data. With meticulous attention to detail, these tools ensure that the generated data for each business entity, such as customers, devices, and orders, is not only consistent but also contextually accurate, replicating real-world scenarios.

One of the key features of these tools is their ability to automatically discover the data models from the source systems, serving as blueprints for generating fake data. This means that regardless of the method used for synthetic data generation, you can always rely on the utmost accuracy and consistency of the data.

By incorporating advanced algorithms and techniques, K2view Synthetic Data Generation tools go beyond simply mimicking data patterns. They take into account the various relationships and dependencies between different data entities, ensuring that the generated data is not only plausible but also realistic in terms of its interconnectivity.

With the ability to generate synthetic data that closely resembles real data, these tools offer organizations the opportunity to test and validate their systems, applications, and processes in a safe and controlled environment. This empowers businesses to make informed decisions based on accurate insights, while safeguarding sensitive information and complying with data privacy regulations.

Features:

• It automatically discovers data structures and data formats.
• It extracts a complete subset of data from the source systems.
• Referential integrity is maintained by design across source systems.
• It automatically classifies different types of data for you.
• It uses Generative AI GPT models to generate precise synthetic data.
• Seamlessly integrate data into CI/CD and ML pipelines via APIs.

#8. CA Test Data Manager

CA Test Data Manager offers a powerful set of features designed to meet the diverse needs of testing teams. With capabilities such as data subsetting, masking, synthetic data generation, cloning, and on-demand data provisioning, it provides an all-encompassing solution for agile testing requirements. By automating the creation, maintenance, and provisioning of test data, it effectively addresses one of the most critical challenges in Continuous Delivery: ensuring thorough and rigorous testing of evolving applications. With CA Test Data Manager, testing teams can streamline their testing processes, optimize resource utilization, and achieve faster time-to-market for their software releases.

Features:

• Test Data Manager assists in managing data privacy and compliance issues, ensuring alignment with regulatory requirements and corporate mandates.
• The TDM Discovery and Profiling feature offers the capability to detect personally identifiable information (PII) across various data sources.
• The tool generates synthetic test data to create a minimal dataset for comprehensive testing. It combines advanced synthetic data generation with thorough coverage analysis. Additionally, it allows the creation of future scenarios and unexpected outcomes to test boundary conditions and prevent delays.
• It creates virtual replicas of test data, enabling testers to quickly access dedicated test data. This approach reduces data volumes, test durations, and expenses, empowering development and testing teams to accelerate application delivery while optimizing costs.
• The system enables efficient storage and reuse of existing data, reducing duplicated work and maximizing value. Centralized storage of rules and data models allows for easy retrieval and cloning as needed for provisioning and testing.

FAQs

Conclusion

In conclusion, Test Data Generators have been identified as hugely helpful for any organization that needs to generate structured or unstructured data quickly. It takes the pain out of developing test cases, and it keeps the tester or developer focused on creating a system that runs as smoothly as possible.

The best Test Data Generator tools we have listed here are DTM Data Generator, Generatedata.com, Mockaroo, Redgate SQL Data Generator, MOSTLY AI, DATPROF, K2View, and CA Test Data Manager.

It is important to remember to think before you pick the best Test Data Generator Tool for your company’s needs. Depending on the requirements of your particular process, some of the tools may have the edge over others and should be taken into consideration when making a final decision.

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