DataMaker
Generate, prepare, and deliver test data with DataMaker.
DataMaker helps teams generate synthetic data, prepare existing data, and deliver it to test systems. Start with a small sample, review it, then save the workflow for reuse.
Start here
- Sign in and select a workspace.
- Generate your first dataset in chat, or create a template yourself.
- Download or deliver the result.
- Save a scenario when you need a repeatable Python workflow.
Find the right guide
| Your task | Read |
|---|---|
| Understand templates, sets, datasets, scenarios and plans | Concepts |
| Choose Cloud, desktop or self-hosted | Deployment modes |
| Find files the agent generated for you | My data |
| Reuse a saved sample or process larger data | Sets and datasets |
| Extract, transform, mask and load | Data jobs |
| Review a proposed workflow before execution | Plans and mappings |
| Protect existing sensitive data | Masking policies |
| Check that a target rejects what it should | Negative testing |
| Connect databases, SAP, REST, Tosca, Jira or Oracle Fusion | Connections |
| Install reusable templates, skills and scenarios | DataMaker Hub |
| Manage access, approvals and evidence | Workspace access and Audit |
| Automate from code | REST, Python, TypeScript and CI/CD |
| Understand agent tools | MCP and Skills |
| Understand your subscription | Plan and usage |
The hosted app is at datamaker.automators.com. These guides describe the current product; self-hosted and desktop installations may run an earlier release. Use your installation's API reference and available controls when they differ.