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Informatica Identity Resolution vs Zingg

Informatica Identity Resolution

informatica.com

Zingg

zingg.ai

Side by side

FigureInformatica Identity ResolutionZingg
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WindowsYes—
macOS—Yes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published16
Spec score · Identity Resolution Software7.3 (#14)8.1 (#4)
HeadquartersRedwood City, California, USALewes, Delaware, United States
PurposeResolves 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.
SupportInformatica 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

Informatica Identity Resolution pricing →

Zingg

  • CommunityFree
  • Community (Open Source)Free
  • EnterprisePriced on request
  • Enterprise LitePriced on request
  • Zingg EnterprisePriced on request
  • Zingg Enterprise LitePriced on request

Zingg pricing →

In their own words

Informatica Identity Resolution

Informatica Identity Resolution has no write-up on Specifiction yet; its figures are above.

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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.

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