Compare · Autessa Synthetic Data vs YData
Autessa Synthetic Data as an alternative to YData
YData is known for data profiling and model-based synthesis, through YData Fabric and the YData SDK. KPMG agreed in October 2025 to acquire its IP and technology, to build a Synthetic Data Center of Excellence, and YData’s site now says it has been acquired by KPMG. Autessa Synthetic Data is for teams that want a product they can use today from a description, with a person reviewing the rows.
Side by side
Autessa Synthetic Data vs YData
| Capability | Autessa Synthetic Data | YData |
|---|---|---|
| Start with no source dataset, in the browser | ✓ | Text to Dataset in the SDK |
| Describe the data once | One sentence, AI proposes columns | A prompt per table and column |
| AI provider setup | Works on your company default model | Your own provider key |
| Stage rows, exclude misses and regenerate a batch before anything is written | ✓ | Not listed |
| Automatic repair round and top-up for invalid rows | ✓ | Not listed |
| Near-duplicate removal across the whole job | ✓ | Not listed |
| Stalled jobs resume on their own, keeping finished batches | ✓ | Not listed |
| Nothing to deploy | ✓ | SDK, or Fabric on AWS, Azure or Kubernetes |
| Full headless access (Autessa MCP) | ✓ | Python SDK; MCP not listed |
| 100% customizable, code and all (Autobot) | ✓ | SDK in code; open-source profiling |
| Seed tables your apps use | ✓ | Via connectors |
| CSV export | ✓ | ✓ |
Based on publicly available information as of November 2026. Product names are trademarks of their owners.
Where Autessa wins
Why teams pick Autessa over YData
- Skip the prompts per column: describe the data once, and Autessa proposes the table name and typed columns.
- Validation, one repair round, a top-up and near-duplicate removal run on every job, with no pipeline to assemble.
- Review-first mode with exclude, regenerate and approve, so a person owns what gets written.
- Agents can run it. Through the Autessa MCP, Claude, Cursor or your own agent can propose schemas and run jobs, without a Python environment.
- Make it yours. Autobot can add a preset for your industry, a new step or a new screen from a plain-language request, down to the code.
Switching takes minutes
- Reuse the table and column prompts you wrote as one plain-English description.
- Accept the proposed columns and paste a few sample rows to match your style.
- Choose review-first, then fill a table or export JSONL or CSV.
FAQ
Autessa Synthetic Data vs YData: questions
What happened to YData?
KPMG announced an agreement in October 2025 to acquire YData’s IP and technology assets, and YData’s site now says it has been acquired by KPMG. Its site still lists Fabric and the SDK.
Do I need to profile a dataset first?
No. Describe the data in plain English and Autessa proposes the columns and generates the rows.
Can I script it?
Yes, with the Autessa CLI, the REST API and the Autessa MCP.
What can I customize?
Column descriptions, allowed values and sample rows are settings, and the app can be changed down to its code by Autobot or your developers.
Can AI agents use it through MCP?
Yes. Claude, ChatGPT, Cursor or your own agents can connect through the Autessa MCP, within the access of whoever connected it.
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100% customizable, code and all
Make Autessa Synthetic Data fully your own.
Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.
Start free and make it yours