Equifax Identity Matching vs Senzing Entity Resolution
Equifax Identity Matching
developer.equifax.comSenzing Entity Resolution
senzing.comSide by side
| Figure | Equifax Identity Matching | Senzing Entity Resolution |
|---|---|---|
| Price from | — | $4,880/mo |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Identity Resolution Software | 8.0 (#7) | 8.0 (#8) |
| 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. |
Plans
Senzing Entity Resolution
- Senzing Subscription Pricing — 10M DSRs$58,560 a year
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.
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.