dedupe vs Posidex Customer Entity Resolution and Matching
dedupe
github.com
Posidex Customer Entity Resolution and Matching
posidex.comSide by side
| Figure | dedupe | Posidex Customer Entity Resolution and Matching |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Data Deduplication Software | 7.9 (#12) | 8.0 (#11) |
| API | The former Dedupe.io web API supported matching and training against projects through REST calls, including incremental checks, matches and additions after deduplication. | The page describes API integration for fast results and minimal latency. |
| Compliance | The former service's FAQ states that Dedupe.io was certified FERPA compliant as of July 2019. | The product is presented as supporting KYC, AML, and data privacy compliance through accurate, validated customer information. |
| Headquarters | Chicago, Illinois, United States | Hyderabad, Telangana, India |
| Intended users | The maintainers describe the library as suitable for integration into applications or import scripts, while the former Dedupe.io service was designed as an online tool for non-developers. | The page describes use cases including onboarding, payment processing, and continuous customer vetting for risk or opportunity, and references banking and life insurance customers. |
| Privacy | The former service’s FAQ says its privacy policy prohibited renting or selling user data and third-party access without signed consent, and limited company access to debugging and service improvement. | Posidex describes the product as built for compliance with privacy by design and says its global customer search is federated and encrypted. |
Plans
Posidex Customer Entity Resolution and Matching
- Customer Entity Resolution and MatchingPriced on request
In their own words
Posidex Customer Entity Resolution and Matching
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.