Achieve Reliable Testing with System-Aware Data

DataMaker helps you generate realistic test data, enabling production-like testing for your SAP, Salesforce, and other complex enterprise applications.

Why Test Smarter with DataMaker AI

Uncover hidden bugs, strengthen performance, and accelerate releases with real-world, compliant test data

DataMaker helps you deliver better software—faster, safer, and more reliably

 Catch Bugs Early

Catch Bugs Early

Detect critical edge-case issues faster with diverse, real-world datasets tailored for total test coverage.

Boost Performance & Reproducibility

Boost Performance & Reproducibility

Create consistent data patterns and load volumes to reveal bottlenecks and reproduce issues under real-world conditions.

Reduce Issues & Costs

Reduce Issues & Costs

Prevent bugs early in testing to reduce rework and protect your brand while saving time and infrastructure costs.

Ensure Compliance & Security

Ensure Compliance & Security

Generate anonymized, regulation-compliant test data to safeguard sensitive information and meet industry standards.

Accelerate with Confidence

Accelerate with Confidence

Automate high-quality data generation to speed up testing, improve result accuracy, and support faster releases.

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Transform Your Testing with Realistic and Valid Test Data

Explore how DataMaker AI's production-like data helps you identify hidden defects, optimize performance, and ensure compliance.

Catch Bugs Early, Cover Every Scenario

Generic test data often skips critical edge cases in enterprise systems like SAP and Salesforce. DataMaker's AI creates diverse, real-world datasets, uncovering hidden bugs fast. From functional to non-functional scenarios, achieve total test coverage, ensuring your software handles every challenge users throw at it with unmatched stability.

Catch Bugs Early, Cover Every Scenario

Enhance Performance and Reproducibility:

Inconsistent data distorts performance tests and hinders bug replication. DataMaker creates precise data volumes and load patterns, like 10x user loads, so you can reveal bottlenecks under real-world conditions. Consistent datasets enable you to reproduce issues reliably, simplifying fix verification and developer collaboration, ultimately boosting software reliability.

Enhance Performance and Reproducibility:

Reduce Issues and Costs:

When production-like data reflects your live environment, you catch issues early in the testing cycle. Smart testing saves time, reduces rework costs, and protects your brand with stable software. All lead to delivering high-quality apps that keep users happy and your bottom line strong.

Reduce Issues and Costs:

Ensure Compliance and Security:

Sensitive or non-compliant data risks breaches and violations like GDPR or HIPAA. DataMaker generates anonymized, regulation-compliant datasets that replicate production without exposing sensitive information. This capability ensures your testing aligns with industry standards, safeguarding your organization from legal and financial risks.

Ensure Compliance and Security:

Accelerate Testing with Confidence:

Manual data prep delays testing and undermines result reliability. DataMaker automates tailored, high-quality data creation, freeing teams to focus on testing. This efficiency speeds up feedback loops and releases while delivering system-aware results. Stakeholders gain confidence in software quality, knowing tests reflect real-world conditions and drive successful outcomes.

Accelerate Testing with Confidence:

Ready to Generate Quality Test Data to Catch Bugs Earlier?

Frequently Asked Questions

Introduction

What exactly is "system-aware data," and how does it differ from synthetic data?

How does DataMaker AI understand the complexities of systems like SAP and Salesforce?

Access and Integration

Support and Information