Python Record Linkage Toolkit
6.3#13 in data deduplication softwareFree planFree planLinuxSelf-hosted
VisitPython Record Linkage Toolkit vs Zingg
What both publish
| Fact | Python Record Linkage Toolkit | Zingg |
|---|---|---|
| Integrations | The toolkit uses pandas DataFrames and the documentation says pandas can integrate record linkage into existing data manipulation projects. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Purpose | The library links records within or between data sources and supports deduplication. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Support | The project repository directs users with questions to contact the maintainer by email. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
Python Record Linkage Toolkit plans
- Python Record Linkage ToolkitFree
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
Pick Python Record Linkage Toolkit if…
It suits researchers and data practitioners linking records or finding duplicates in small or medium-sized files. Its pandas integration may fit projects that already use pandas for data manipulation.
Pick Zingg if…
You want what its maker publishes above — check its page for the details.