DataGroomr vs Entify
DataGroomr
datagroomr.comEntify
github.comSide by side
| Figure | DataGroomr | Entify |
|---|---|---|
| Price from | $33.25/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Data Deduplication Software | 8.3 (#4) | 8.4 (#2) |
| Target users | DataGroomr is intended for Salesforce administrators, marketing and sales operations, and revenue teams needing accurate data for reporting, segmentation and pipeline management. | The README describes the project as intended to make record linkage usable by people who do not already understand blocking rules and match weights. |
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.
Entify
Entify is a free, open-source workspace for linking records, resolving entities, and deduplicating datasets. It uses Splink 4 and DuckDB for matching, with exact, Jaro-Winkler, Jaccard, and Levenshtein comparisons. Automatic setup estimates column types, proposes blocking rules, and explains its choices for users to adjust. It reads CSV, TSV, Parquet, JSON, and Excel files, and reports row counts, distinct values, and completeness by column. Review tools include match evidence, score and threshold analysis, and PDF audit reports. Merge exports keep one surviving record per entity and retain source IDs for tracing or undoing merges. Entify runs locally with Docker or with Python 3.11+ and Node 20+; demo mode works without optional sign-in or shared storage. Its Docker quickstart needs no accounts, API keys, or external services, and uploaded data stays on the machine. The project is intended for data stewards and teams without specialist record-linkage expertise. Optional semantic blocking requires an extra install of roughly 600 MB of Torch dependencies.