DataMatch Enterprise
6.8#4 in data deduplication softwareWebAPILinuxSelf-hosted
VisitDataMatch Enterprise vs Zingg
What both publish
| Fact | DataMatch Enterprise | Zingg |
|---|---|---|
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Lewes, Delaware, 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 maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Licence | Data Ladder describes its matching technology as proprietary and presents the product as a commercial quoted offering; no open-source licence is stated. | The public Zingg repository is licensed under GNU Affero General Public License version 3.0. |
| Matching | It supports phonetic, numeric, domain-specific, and fuzzy matching, with tunable algorithm levels and weights. | It combines machine learning matching with rule based deterministic matching, which can use identifiers such as email, SSN, and passport ID. |
| Platforms | The maker also documents a Windows desktop application; its system requirements page lists Windows operating systems from version 7 onward. | The maker lists Databricks, Snowflake, BigQuery, Redshift, AWS Glue, GCP, and Microsoft Fabric as cloud platforms for Zingg. |
| Purpose | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Rating on G2 | 4.2 out of 5 from 27 reviews | No Zingg rating is displayed in the opened Data Stack Hub comparison, and that page does not state a review count. |
DataMatch Enterprise plans
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
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 Zingg if…
You want what its maker publishes above — check its page for the details.