Informatica Identity Resolution vs Zingg
Informatica Identity Resolution
informatica.comZingg
zingg.aiSide by side
| Figure | Informatica Identity Resolution | Zingg |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | Yes | — |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 6 |
| Spec score · Identity Resolution Software | 7.3 (#14) | 8.1 (#4) |
| Headquarters | Redwood City, California, USA | Lewes, Delaware, United States |
| Purpose | Resolves identity data to build a more complete view of customers, partners, suppliers and others across enterprise data and applications. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Support | Informatica directs customers to open or follow up on support cases by telephone or through its Informatica Network portal. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
Plans
Informatica Identity Resolution
- Informatica Identity ResolutionPriced on request
Zingg
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
In their own words
Informatica Identity Resolution
Informatica Identity Resolution has no write-up on Specifiction yet; its figures are above.
Zingg
Zingg is open-source, warehouse-native master data management software for resolving entities across data silos and building unified views. It is intended for analytics engineers and data scientists integrating sources at scale, and runs on Linux in a self-hosted environment. Users train the system by labeling 40–50 matching pairs from their own data. Matching combines machine learning with deterministic rules that can use identifiers such as email, SSN, and passport ID. Listed language matching covers Chinese, Japanese, Thai, Hindi, German, French, and Greek without language-specific setup. The Community, Enterprise Lite, and Enterprise editions support millions of records. Enterprise editions can run incrementally against previously matched data, and Enterprise also supports real-time architecture. ZINGG_ID is a persistent identifier assigned to new entities that remains stable across model and configuration changes. Zingg can also run within Snowflake as a Snowflake Container using Snowpark. Community costs nothing and includes batch processing, probabilistic matching, and open-source support.