Splink vs Verato Universal MPI
Splink
moj-analytical-services.github.ioVerato Universal MPI
verato.comSide by side
| Figure | Splink | Verato Universal MPI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 4 |
| Spec score · Identity Resolution Software | 8.4 (#2) | 6.7 (#22) |
| Matching | It supports term frequency adjustments and user-defined fuzzy matching logic. | Verato says its Referential Matching technology provides independently verified identity matching accuracy. |
| Purpose | Splink is a Python package for probabilistic record linkage that deduplicates and links records without unique identifiers. | Verato UMPI and Auto-Steward provide patient identity matching and help create a more complete view of patient information. |
| Support | Users are directed to a public GitHub discussion forum for questions after consulting the documentation. | The Verato Support Center offers case submission, support contact, a status page, developer experience resources, and a knowledge base. |
Plans
Verato Universal MPI
- EnterprisePriced on request
- Enterprise PlusPriced on request
- StandardPriced on request
- StarterPriced on request
In their own words
Splink
Splink is a free Python package for probabilistic record linkage, used to deduplicate records and connect them when unique identifiers are absent. Its linkage method follows the Fellegi-Sunter model and can be trained without labeled examples. Matching can include term-frequency adjustments and user-defined fuzzy logic. Splink creates SQL for a selected backend, with documented support for DuckDB, Spark, SQLite, and PostgreSQL. DuckDB is recommended for most users; Spark is recommended for very large linkages or when a Spark cluster is more accessible. The maker says it can run on DuckDB or big-data backends such as Spark for linkages of 100+ million records. It works best with standardized data across several columns that are not highly correlated, rather than a single bag-of-words column. Interactive visualizations help examine and diagnose models, predictions, and clusters. Install with pip or conda, with optional backend-specific installation for Spark and PostgreSQL. It runs on Linux, macOS, and Windows, as well as self-hosted environments.
Verato Universal MPI
Verato Universal MPI has no write-up on Specifiction yet; its figures are above.