Equifax Identity Matching
5.5#14 in identity resolution softwareAPI
VisitEquifax Identity Matching vs Senzing Entity Resolution
Senzing Entity Resolution
6.7#4 in identity resolution softwareFrom $58,560 a yearWebAPILinuxmacOS
VisitWhat both publish
| Fact | Equifax Identity Matching | Senzing Entity Resolution |
|---|---|---|
| Founded | 1899 | 2017 |
| Integrations | Batch services are supported through MFT integrations, and the listed cloud environments are Snowflake and Google Cloud Platform BigQuery. | Senzing lists Python, Java, C#, Rust, Node.js, and an MCP server for connecting the engine to applications and AI agents. |
| Purpose | Identity Matching identifies and links customer information across disconnected data sources, including when names or addresses vary. | Senzing resolves fragmented records into entities and reveals relationships between them for fraud, compliance, and AI systems. |
Equifax Identity Matching plans
- Live API accessPriced on request
Senzing Entity Resolution plans
- Senzing Subscription Pricing — 10M DSRs$58,560 a year
Pick Equifax Identity Matching if…
It suits financial services, telecommunications, utilities, and other consumer service providers that need to match customer records. Teams should be prepared to work with Equifax for live access and pricing.
Pick Senzing Entity Resolution if…
Senzing suits organizations in financial services, healthcare, public sector, insurance, and technology that need entity resolution for fraud, compliance, or AI systems. It is also intended for agentic AI use.