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Explore Synthetic Data

Generate Secure Test Data with Synthetic Precision

DataMaker helps you generate realistic, production-like synthetic test data so you can achieve secure, compliant, and unrestricted testing with ease

Smarter Testing with Synthetic Data

Test faster, safer, and at scale with production-like synthetic data

DataMaker empowers teams to deliver quality confidently while staying compliant and cost-efficient

Faster Test Cycles

Faster Test Cycles

Generate realistic data in seconds to speed up releases and detect bugs early.

Flexible Masking Options

Flexible Masking Options

Apply real-time or persistent masking tailored to any testing need or environment.

Cost-Effective Testing

Cost-Effective Testing

Eliminate the need for full database copies and reduce infrastructure and manual workload costs.

Secure by Design

Secure by Design

Synthetic data eliminates real PII, protecting your organization from data breaches.

Effortless Compliance

Effortless Compliance

No real or traceable data means automatic compliance with GDPR, HIPAA, and CCPA.

Unlimited Test Scenarios

Unlimited Test Scenarios

Simulate edge cases and high-stress scenarios with data tailored for every situation.

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Unlock a New Era of Testing with Synthetic Data

Discover how DataMaker's secure synthetic data generation acts as the key to unlocking testing, even in environments with strict data limitations

Bulletproof Security for Sensitive Data

DataMaker generates synthetic data that mimics real-world patterns without containing any sensitive or personally identifiable information (PII). By replacing real data with artificial datasets, you eliminate the risk of data breaches during testing, ensuring your organization stays secure and protected.

Bulletproof Security for Sensitive Data

Seamless Compliance with Data Privacy Regulations

Worried about GDPR, HIPAA, or CCPA? With DataMaker, there's nothing to mask or anonymize. Because our synthetic data contains no real or traceable information, your tests meet privacy standards by default. Focus on quality assurance, not legal fine print.

Seamless Compliance with Data Privacy Regulations

Unrestricted Testing in Any Environment

Real data often falls short when it comes to edge cases or rare events. DataMaker lets you build synthetic datasets for exactly the scenarios you need, from unusual inputs to high-stress loads. Your application gets tested under every condition that matters.

Unrestricted Testing in Any Environment

Accelerated Testing Cycles for Faster Releases

Manual data creation or anonymization slows down your team. DataMaker's AI-powered synthetic data generator produces realistic datasets in seconds, streamlining test data provisioning. By automating data creation, your team identifies and resolves bugs earlier so you can ship faster with confidence.

Accelerated Testing Cycles for Faster Releases

Adaptable Masking for Every Scenario

DataMaker offers both dynamic and static masking options to meet the diverse security requirements of different testing environments and use cases. Apply masking on-the-fly for real-time testing or create persistently masked datasets for regression or performance testing. This flexibility ensures you can implement the appropriate level of security for each scenario.

Adaptable Masking for Every Scenario

Cost Savings Without Sacrificing Quality

DataMaker eliminates the need for full database copies, manual data entry, or additional storage. Its on-demand synthetic data generation reduces infrastructure costs and team workload while still delivering the realism and depth needed for high-quality testing at scale.

Cost Savings Without Sacrificing Quality

Ready to Generate Synthetic Test Data with DataMaker?

Frequently Asked Questions

Introduction

How does synthetic data ensure my testing is secure when real data is too risky to use?

Can synthetic data really replicate the complexity of my production environment?

Will DataMaker's synthetic data help me stay compliant with strict regulations like GDPR or HIPAA?

Can I use synthetic data to test scenarios that don't exist in my real data?

Is synthetic data generation expensive or complicated to implement?

Access and Integration