Side by side
Splink vs Zingg
Both stand on identity resolution software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Open source APILinuxMac+2
Splink offers a free, configurable approach to probabilistic record linkage, with several SQL backend options and diagnostic visualizations. Data shape and backend setup matter, and Databricks-specific help may be limited.
Visit Splink
Free plan Open source APILinuxMac+1
Visit Zingg The facts
| Splink | Zingg | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Yes | Yes |
| Runs on | API, Linux, Mac, Self-hosted, Windows | API, Linux, Mac, Self-hosted |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 2 | 6 |
| Maker | Not published | Not published |
| Website | moj-analytical-services.github.io | zingg.ai |
| On identity resolution software | #1 of 25 | #2 of 25 |
Splink: what it does well
- Can train without labeled data.
- Supports term-frequency adjustments and user-defined fuzzy logic.
- Offers DuckDB, Spark, SQLite and PostgreSQL backends.
- Interactive visualizations help diagnose models and clusters.
- Free to install with pip or conda.
What to know first
- Works best with standardized, multiple-column data.
- Not designed for a single bag-of-words column.
- The team may struggle with Databricks-specific issues.