dedupe
6.0#19 in data deduplication softwareAPILinuxmacOSSelf-hosted
Visitdedupe vs Zingg
What both publish
| Fact | dedupe | Zingg |
|---|---|---|
| Headquarters | Chicago, Illinois, United States | Lewes, Delaware, United States |
| Integrations | The project describes dedupe as a library that can be integrated into applications or import scripts; it also documents CSV deduplication through the separate csvdedupe command-line tool. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Intended users | The maintainers describe the library as suitable for integration into applications or import scripts, while the former Dedupe.io service was designed as an online tool for non-developers. | The maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Privacy | The former service’s FAQ says its privacy policy prohibited renting or selling user data and third-party access without signed consent, and limited company access to debugging and service improvement. | The Snowflake page says Zingg can run directly within Snowflake as a Snowflake Container running a Snowpark application, maintaining control over data. |
| Self-hosting | The developer page says Python developers can run the library on local machines or servers and build self-hosted entity-resolution pipelines. | The documentation describes local Spark, Spark-cluster, Docker and source-build deployments, with data processing on the user's infrastructure. |
| Support | The library documentation directs bug reports to GitHub Issues and lists a mailing list for users. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
dedupe plans
No prices published.
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
Pick dedupe if…
dedupe suits Python developers working with structured records who need fuzzy matching or entity resolution. It may also suit teams that want to build self-hosted pipelines or integrate matching into applications and import scripts.
Pick Zingg if…
You want what its maker publishes above — check its page for the details.