DataMatch Enterprise
6.8#4 in data deduplication softwareWebAPILinuxSelf-hosted
VisitDataMatch Enterprise vs dedupe
What both publish
| Fact | DataMatch Enterprise | dedupe |
|---|---|---|
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Chicago, Illinois, United States |
| Intended users | The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice 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. |
DataMatch Enterprise plans
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
dedupe plans
No prices published.
Pick DataMatch Enterprise if…
DataMatch Enterprise suits business users, IT specialists, analysts, and scientists working with data quality and duplicate records. It can also fit teams that need address verification or API-based matching in custom projects.
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.