Alternatives to Merkury Identity Resolution

Splink suits teams linking or deduplicating standardized records without unique identifiers, especially when their data has multiple useful columns.

DinMo

It is aimed at marketing teams and business users who need warehouse-based audience activation without coding.

Zingg

Zingg suits analytics engineers and data scientists who need to integrate siloed data and build unified views.

AWS Entity Resolution

It suits organizations that need to connect customer, product, business, or healthcare records across data sources.

Equifax Identity Matching

The service suits financial services, telecommunications, utilities, and other consumer service providers that need matching across customer systems.

It suits organizations in financial services, healthcare, public sector, insurance, and technology that need to resolve records or identify relationships.

It suits developers and researchers, as well as expert or novice users building record-linkage and entity-resolution workflows in Python.

OpenCR suits organizations that need to link patient identities across systems for coordination, continuity or reporting.

NVECTA suits advertising, lifecycle marketing, CRM, product, and data teams seeking to unify customer information and personalize engagement.

Quantexa Entity Resolution

It suits enterprises and government agencies that need to resolve records across large datasets, including organizations in banking, insurance, telecommunications and healthcare.

This solution is aimed at organizations that need trusted entity data for decision-making, customer engagement, fraud detection, anti-money-laundering, or compliance work.

Tamr

Tamr suits mid-sized organizations and large enterprises in financial services, healthcare, manufacturing, retail, and technology that need governed master data.