AWS Entity Resolution vs Senzing Entity Resolution
AWS Entity Resolution
aws.amazon.comSenzing Entity Resolution
senzing.comSide by side
| Figure | AWS Entity Resolution | Senzing Entity Resolution |
|---|---|---|
| Price from | Free | $4,880/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Identity Resolution Software | 8.0 (#5) | 8.0 (#8) |
| Spec score · Data Deduplication Software | 8.0 (#9) | 7.9 (#18) |
| Integrations | Documented related AWS services include Amazon S3, AWS Glue, AWS CloudTrail, CloudFormation, and AWS Clean Rooms. | Senzing lists Python, Java, C#, Rust, Node.js, and an MCP server for connecting the engine to applications and AI agents. |
| Purpose | AWS Entity Resolution matches, links, and enhances related customer, product, business, or healthcare records across applications, channels, and data stores. | Senzing resolves fragmented records into entities and reveals relationships between them for fraud, compliance, and AI systems. |
Plans
AWS Entity Resolution
- Data service provider matchingFree
- Rule-based or ML-powered matchingFree
Senzing Entity Resolution
- Senzing Subscription Pricing — 10M DSRs$58,560 a year
In their own words
AWS Entity Resolution
AWS Entity Resolution links records that may describe the same customer, product, business, or healthcare entity across applications, channels, and data stores. It offers rule-based, machine learning, and data service provider matching. Rule-based users can adjust input fields, priorities, and rules; the preconfigured machine learning model compares consumer fields such as names, email addresses, phone numbers, addresses, and birth dates, then assigns match groups confidence scores from 0.0 to 1.0. Inputs come from AWS Glue, with a limit of 20. Rule-based matching can process new Amazon S3 data incrementally, and the GetMatchId API can synchronously look up an existing match ID while hashing personally identifiable attributes. Access is through the AWS console and API. Personally identifiable data is encrypted at rest by default with AWS-owned keys, with customer-managed symmetric AWS KMS keys also supported. Provider matching includes LiveRamp, TransUnion, and Unified ID 2.0 identifiers, subject to a provider license agreement. AWS states that the service meets PCI DSS and SOC 1, SOC 2, and SOC 3 measures. Pricing is paid, from $0.10; there is no free plan.
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.