AWS Entity Resolution vs Posidex Customer Entity Resolution and Matching

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.

Posidex Customer Entity Resolution and Matching links customer records across systems and data sources to create a unified customer view. Delivered through the AI/ML-powered PrimeMDM platform, it classifies records as the same, possibly the same, related, or possibly related. For onboarding, it can compare demographic data with KYC details in real time, validate submitted information, and cross-reference identity documents and utility proofs including PAN, Aadhaar/SSN, passports, voter IDs, driving licenses, and utility bills. Its engine assigns authenticity scores, and teams can configure granular match rules across multiple parameters. Organizations can upload bulk batches without constraints on the number of fields. Posidex says the solution can manage 5 billion records in one go with 99.5% match accuracy, and can be implemented in as little as three months. API integration is described as providing fast results with minimal latency. The product can find records across enterprise systems, apps, and knowledge bases on premises or in the cloud. Posidex describes global search as federated and encrypted, and the offering as designed for privacy. Pricing is on request; the site offers demos and sales contact. Supported deployment platforms include API, Linux, macOS, self-hosted, web, and Windows.