Epsilon COREid vs Splink
Epsilon COREid
epsilon.comSplink
moj-analytical-services.github.ioSide by side
| Figure | Epsilon COREid | Splink |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 2 |
| Spec score · Identity Resolution Software | 7.4 (#12) | 8.4 (#2) |
| Purpose | COREid services provide identity resolution to recognize and reach more than 200 million U.S. consumers in a privacy-safe way. | Splink is a Python package for probabilistic record linkage that deduplicates and links records without unique identifiers. |
| Scale | Epsilon’s identity capabilities page says COREid provides insights on more than 255 million unique U.S. individuals. | The maker says Splink can run on DuckDB or big-data backends such as Spark for linkages of 100+ million records. |
Plans
In their own words
Epsilon COREid
Epsilon COREid has no write-up on Specifiction yet; its figures are above.
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.