Side by side
Entify vs Zingg
Both stand on data deduplication software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APISelf-hostedWeb
Choose Entify if you need a free, open-source tool for record matching with explainable review and local operation. Its stated upload and memory limits may make it a poor fit for larger datasets, while the unauthenticated API assumes localhost binding.
Visit Entify
Free plan Open source APILinuxMac+1
Visit Zingg The facts
| Entify | Zingg | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Yes |
| Runs on | API, Self-hosted, Web | API, Linux, Mac, Self-hosted |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 6 |
| Maker | Not published | Not published |
| Website | github.com | zingg.ai |
| On data deduplication software | #4 of 27 | #1 of 27 |
Entify: what it does well
- Reads CSV, TSV, Parquet, JSON and Excel files.
- Explains suggested blocking rules and lets users override them.
- Provides match evidence and threshold analyses for review.
- Exports deduplicated data and PDF audit reports.
- Docker quickstart runs locally without accounts or external services.
What to know first
- Uploads are capped at 100 MB.
- The README describes the engine as memory-bound beyond roughly 100,000 rows.
- Optional semantic blocking downloads roughly 600 MB of Torch dependencies.
- The backend API has no authentication and assumes localhost binding.