Splink
7.3#3 in identity resolution softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitSplink vs Zingg
What both publish
| Fact | Splink | Zingg |
|---|---|---|
| Documentation depth | Official documentation includes tutorials, example notebooks with Google Colab links, topic guides, API references, settings references and datasets. | Documentation covers installation, command-line use, Python APIs, connectors, cloud platforms, security, FAQs and step-by-step examples. |
| Licence | The PyPI package is marked as MIT licensed and publishes a platform-independent Python wheel. | The public Zingg repository is licensed under GNU Affero General Public License version 3.0. |
| Matching | It supports term frequency adjustments and user-defined fuzzy matching logic. | It combines machine learning matching with rule based deterministic matching, which can use identifiers such as email, SSN, and passport ID. |
| Purpose | Splink is a Python package for probabilistic record linkage that deduplicates and links records without unique identifiers. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Rating on G2 | 5.0 out of 5 from 2 reviews; the listing is categorised as payment-processing software rather than the open-source data-linkage package. | No Zingg rating is displayed in the opened Data Stack Hub comparison, and that page does not state a review count. |
| Scale | The maker says Splink can run on DuckDB or big-data backends such as Spark for linkages of 100+ million records. | The comparison page lists support for millions of records across Community, Enterprise Lite and Enterprise editions. |
Splink plans
- Free and open sourceFree
- SplinkFree
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
Pick Splink if…
Splink suits analysts and data teams linking or deduplicating records without unique identifiers, provided their data has multiple standardized columns rather than only bag-of-words text.
Pick Zingg if…
You want what its maker publishes above — check its page for the details.