Skip to content
SPECIFICTION
Get listed

Equifax Identity Matching vs Senzing Entity Resolution

Equifax Identity Matching

developer.equifax.com

Senzing Entity Resolution

senzing.com

Side by side

FigureEquifax Identity MatchingSenzing Entity Resolution
Price from—$4,880/mo
Free plan——
Free trial—Yes
Open source——
Web—Yes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published11
Spec score · Identity Resolution Software8.0 (#7)8.0 (#8)
Founded18992017
IntegrationsBatch 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.
PurposeIdentity 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.

Plans

Equifax Identity Matching

  • Live API accessPriced on request

Equifax Identity Matching pricing →

Senzing Entity Resolution

  • Senzing Subscription Pricing — 10M DSRs$58,560 a year

Senzing Entity Resolution pricing →

In their own words

Equifax Identity Matching

Equifax Identity Matching links customer information held in disconnected sources, including records where names or addresses differ. It assigns persistent consumer identifiers and can create consumer, household, and address keys, helping organizations form a single customer view. Equifax says it compares multiple datasets and data-element combinations, and can combine company records with consumer credit and specialty finance data. Matching and updates are described as cloud-based and near real time, with incremental key changes available through delta services. Delivery options include batch services, an online API, and cloud-native Keying as a Service in Snowflake or Google Cloud Platform BigQuery environments. Confidential Keying keeps raw personal information in a customer cloud environment. Data is encrypted and tokenized, usage is regulated by GLBA, and processes are regularly validated. OAuth 2.0 client credentials secure APIs; production access requires credentials and whitelisted IP addresses. Pricing is on request.

Visit developer.equifax.com

Senzing Entity Resolution

Senzing Entity Resolution combines fragmented records into entity profiles and surfaces links among them for fraud, compliance, and AI applications. The maker describes its engine as real-time, relationship-aware, self-tuning, and self-correcting, without custom training or tuning. It says the engine starts in under one second and scales from tens to billions of records within a customer’s infrastructure. Decisions can include an audit trail explaining matches, contributing features, and a confidence score. Senzing says customer data stays in that infrastructure and does not flow to Senzing, Inc.

Deployment options include bare metal, Docker, Kubernetes, private cloud, AWS, Azure, and air-gapped environments. Integrations include Python, Java, C#, Rust, Node.js, and an MCP server; AWS Marketplace and Microsoft Marketplace handle real-time JSON requests and responses. The SDK’s free license covers 500 source records, while the AWS Marketplace trial covers 250,000. A listed subscription is $58,560 a year for 10M DSRs, with support included.

Visit senzing.com