Intelligent Synthetic Test Data Generation, Powered by AI
Build, test, and ship software faster and safer than ever before. DATAMIMIC provides high-quality, privacy-compliant test data on demand, eliminating development bottlenecks.
Intelligent Synthetic Test Data Generation, Powered by AI
Build, test, and ship software faster and safer than ever before. DATAMIMIC provides high-quality, privacy-compliant test data on demand, eliminating development bottlenecks.
Model
Traditionally, test data is a disposable afterthought, leading to inconsistent testing that undermines product quality and slows down innovation. We provide a robust, AI (using GAN model)- and model-driven approach that transforms test data into a strategic asset. You can define your data requirements at an abstract level, creating reusable data models that capture complex business rules and referential integrity. These models are stored in a central data vault, allowing you to generate comprehensive and secure synthetic data to match any specification. This is essential for competitive industries like banking and finance, allowing them to overcome slow development cycles and meet strict compliance regulations.
Protecting sensitive customer information during testing is a major challenge, and the risk of a data breach from using production data is significant. Our platform provides ultimate security through a sophisticated, model-driven approach. Initially, after applying advanced data masking and anonymization, our AI engine learns the patterns and rules of your data. It then performs synthetic data generation, creating a brand new, statistically identical dataset. As a result, this new data has the complexity of real data but contains zero original customer information, thereby ensuring you are fully compliant with privacy regulations.
Development teams are often slowed down because test data is locked away in different databases and legacy systems, making it difficult to access and use in modern workflows. To address this challenge, we designed DATAMIMIC for easy adoption. Specifically, the platform integrates directly into your existing data pipeline with out-of-the-box connectors for all major SQL and NoSQL databases. Furthermore, our API-first approach means you can programmatically call for and receive test data directly within your CI/CD scripts. As a result, this allows you to automate the entire data processing flow from generation to delivery, creating a unified and efficient system without costly infrastructure changes.
In an agile environment, waiting for data is a critical bottleneck. When developers and QA engineers have to file tickets and wait days for a DBA to provide a test dataset, sprint velocity grinds to a halt. We eliminate the wait by providing a self-service platform. Your teams are empowered to generate their own high-quality data on-demand, in minutes. A developer working on a new feature can instantly create an isolated, realistic dataset for their specific needs. This enables true parallel testing and supports modern practices like Test-Driven Development (TDD). By removing the data dependency, we help you shorten release cycles and increase team productivity.
Unlock Model-based Test Data Generation with DATAMIMIC UI
Elevate your data quality framework with DATAMIMIC’s innovative data modeling features and trusted data solutions. Our intuitive user interface delivers maximum efficiency, streamlining your processes from data discovery to synthetic data generation. Hence, the platform transforms complex data management tasks into strategic assets, making sophisticated data modeling tools accessible company-wide.
To get started, simply connect to your databases or upload JSON files to auto-generate your DATAMIMIC models with our advanced synthetic dataset generator. This powerful visualization layer enables precise control over data quality checks, referential integrity enforcement, and data quality assurance throughout. Ultimately, every generated dataset fits its purpose, maintains complete data integrity, and meets highest industry standards.
Complex JSON Capabilities and Templating
Modern applications increasingly rely on complex nested data structures, requiring advanced approaches to ensure accuracy and performance. DATAMIMIC optimizes software testing for these environments, offering specialized capabilities for applications that rely on semi-structured data. We purpose-built our platform for MongoDB and NoSQL databases, addressing unique challenges that traditional tools struggle with—particularly in MongoDB testing scenarios.
With DATAMIMIC, you can simply upload your JSON schema and leverage our built-in generators, custom scripts, and variables within the templating engine for replication. This delivers precise control over complex hierarchies, ideal for creating robust data validation scenarios mirroring your application’s logic and structure.
DATAMIMIC combines the power of Python and Rust integration to deliver a high-scalability processing and high-speed processing core specifically tailored for AI-driven model-based test data generation and other sophisticated data generation tasks. By leveraging Python AI libraries and its extensive ecosystem, our platform effectively accelerates algorithm development for accurate, compliant datasets. Meanwhile, Rust performance optimization and memory safety in Rust ensure secure, low-level system operations with minimal latency. Ultimately, this dual-technology approach enables efficient and robust data testing workflows, thereby helping teams achieve exceptional data quality and performance at scale.
Elevate your Agile development and Test Driven Development (TDD) workflows with DATAMIMIC, the leading platform for generating realistic test data and delivering fully compliant test data on-demand. DATAMIMIC specifically integrates effortlessly into rapid, iterative development cycles, empowering teams to achieve high-velocity Agile testing while maintaining the highest standards of data quality and security. By automating test data provisioning, our solution eliminates bottlenecks and ensures precise, high-fidelity datasets fuel every sprint. Ultimately, enhance your workflows with adaptable, responsive test data that matches the pace of your development, thereby enabling consistent, comprehensive testing from the very start of each project.
Get the DATAMIMIC news
It’s a free collection of tips we don’t share elsewhere. Learn first-hand insights on tricks and tweaks for your test data project! Not sure? Try now!
You need to load content from hCaptcha to submit the form. Please note that doing so will share data with third-party providers.
More InformationEnhance your development today with realistic test data. Accelerate your project timelines, and uphold data privacy as a fundamental right with DATAMIMIC
DATAMIMIC is a leading software solution to generate, anonymize, pseudonymize and migrate data for development, testing and training purposes. Moreover, the solution unleashes the Power of AI in Model-Based Test Data Generation and Privacy Protection. While specializing in enterprise-grade test data creation and obfuscation with enhanced JSON/XML handling, DATAMIMIC ensures GDPR compliance and seamless development/testing. Thus, embrace our model-driven, AI-enhanced toolkit for efficient, scalable, and compliant software development in today’s regulatory environment
Learn more in our DATAMIMIC factsheet
Learn simply more about DATAMIMIC, the powerful DATAMIMIC UI, and our DATAMIMIC packages to shape your test data universe smart and safely. Additionally, we provide guidance, code snippets, and more to get you started fast with a steep learning curve. Finally, get your DATAMIMIC factsheet, improve your test data and ultimately speed up your development.
Going Beyond for You!
Looking for assistance with deploying DATAMIMIC in your organization?
Curious about how DATAMIMIC can elevate your testing to new heights?
Get acquainted with the minds behind DATAMIMIC and delve into our range of solutions:
Frequently Asked Questions.
How to create complex data for testing?
DATAMIMIC employs a model-based approach to synthetic data generation. Rather than just scripting data, our AI first analyzes your source data (or a provided schema) to learn its statistical properties, distributions, and relationships. Subsequently, it generates entirely new, synthetic data that mimics this complexity. For instance, it can replicate intricate nested structures in JSON while also maintaining the relationship between customers and orders tables in a relational database. Importantly, this capability—maintaining referential integrity—is critical for the validity of test data and ultimately ensures the data is realistic enough for even the most complex test scenarios.
What is the difference between data anonymization and pseudonymization?
This is a critical distinction under regulations like GDPR. Specifically, data Anonymization alters data so individuals cannot be re-identified, even when combined with other information. Thus, this data is no longer considered personal data. Pseudonymization, on the other hand, replaces direct identifiers (like a name) with a pseudonym (like a random user ID). However, the data can still be linked back to the individual with the use of additional, separately kept information. Therefore, pseudonymous data is still considered personal data under GDPR. DATAMIMIC supports both techniques but excels at generating fully anonymized synthetic data, offering maximum privacy protection by design.
Is synthetic data as good as real data for testing?
For testing purposes, high-quality synthetic data often outperforms real data. Specifically, while a copy of production data provides a perfect snapshot, it nonetheless carries inherent risks as it contains PII, often lacks completeness and specific edge cases, and moreover exhibits bias. In contrast, AI-generated synthetic data, like that from DATAMIMIC, maintains the statistical accuracy and patterns of real data without the privacy risks. This directly addresses the ‘synthetic data vs real data’ consideration. Furthermore, you can subsequently augment synthetic datasets to create specific edge cases, additionally balance classes to improve model training, and ultimately ensure comprehensive data quality and test coverage that production data might not provide on its own.
How does DATAMIMIC help with GDPR and other data privacy regulations?
Using copies of production data for testing and development is a major compliance risk under GDPR, as it unnecessarily exposes sensitive personal data to a wider audience and increases the risk of a data breach. DATAMIMIC solves this fundamental problem by enabling a “privacy by design” approach. Through generating synthetic test data that is statistically identical to production but contains no real PII, you remove the source of the risk entirely. This means your developers and testers get the high-quality, realistic data they need to build and validate software effectively, without ever accessing sensitive customer information. In this way, this ensures your testing environments are inherently compliant with major data protection regulations.
Can DATAMIMIC work with our existing databases and CI/CD tools?
Absolutely. DATAMIMIC is built for modern enterprise ecosystems and particularly designed for seamless integration. Notably, it provides broad support for both SQL and NoSQL databases, allowing you to connect to your existing data sources with ease. In addition, it offers API endpoints to integrate directly into your data pipeline and CI/CD toolchain (e.g., Jenkins, GitLab CI, Azure DevOps). Through this approach, it enables fully automated data provisioning, a core tenet of modern Test Data Management, where fresh, compliant test data is delivered to your test environments as part of your automated build and deployment processes, thus eliminating manual effort and delays.