DataGroomr vs Splink
DataGroomr
datagroomr.comSplink
github.comSide by side
| Figure | DataGroomr | Splink |
|---|---|---|
| Price from | $33.25/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Data Deduplication Software | 8.3 (#4) | 7.8 (#20) |
| Support | Every plan includes support from real people by email or phone plus help articles and video tutorials. | The documentation directs users with questions to the project’s GitHub discussion forum. |
Plans
DataGroomr
- Micro$399 a year
- Professional$3,995 a year
- EnterprisePriced on request
- StandardPriced on request
In their own words
DataGroomr
DataGroomr has no write-up on Specifiction yet; its figures are above.
Splink
Splink is a free Python package for probabilistic record linkage: it deduplicates and connects records without unique identifiers. Its core algorithm is based on the Fellegi–Sunter model, and it can train models without training data using an unsupervised approach. Matching supports term-frequency adjustments and user-defined fuzzy logic. Interactive outputs help users inspect models and diagnose linkage problems. Splink documents DuckDB, Spark, PostgreSQL, and SQLite backends; DuckDB is installed by default, while Spark and PostgreSQL have optional installs. The project says it can run with big-data backends such as Spark on datasets of 100 million or more records, and can link a million records on a laptop in around a minute. It works best with standardised data containing multiple columns that are not highly correlated. Installation is through pip or conda and requires Python 3.10 or later. The project lists Linux and self-hosted use and an MIT license.