Data8 Duplicare vs Splink
Data8 Duplicare
data-8.co.ukSplink
github.comSide by side
| Figure | Data8 Duplicare | Splink |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Deduplication Software | 8.0 (#10) | 7.8 (#20) |
| Matching | It uses fuzzy matching to identify duplicates with spelling variations across fields such as names, addresses, and domains. | It supports term frequency adjustments and user-defined fuzzy matching logic. |
| Purpose | Duplicare detects, merges, and helps prevent duplicate records in Microsoft Dynamics 365. | Splink is a Python package for probabilistic record linkage that deduplicates and links records without unique identifiers. |
| Support | Data8 offers dedicated support to help configure Duplicare around a customer's data and objectives. | The documentation directs users with questions to the project’s GitHub discussion forum. |
Plans
In their own words
Data8 Duplicare
Data8 Duplicare 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.