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Entify vs Posidex Customer Entity Resolution and Matching

Entify

github.com

Posidex Customer Entity Resolution and Matching

posidex.com

Side by side

FigureEntifyPosidex Customer Entity Resolution and Matching
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Data Deduplication Software8.4 (#2)8.0 (#11)
DeploymentIt can run locally with Docker or with Python 3.11+ and Node 20+; the README identifies FastAPI, Splink 4, DuckDB, and Next.js in its stack.The solution can locate customer records across enterprise systems, apps, and knowledge bases, whether on premises or in the cloud.
Intended usersThe project describes itself as intended to make record linkage usable by data stewards and teams without specialist record-linkage expertise.The page describes use cases including onboarding, payment processing, and continuous customer vetting for risk or opportunity, and references banking and life insurance customers.
MatchingIt supports exact, Jaro-Winkler, Jaccard, and Levenshtein comparisons, with semantic blocking available as an optional extra.It classifies entities as the same, possibly the same, related, or possibly related.
PurposeEntify is an early open-source workspace for entity resolution, record linkage, and data deduplication.The solution links customer records across systems and data sources to create a unified customer view.

Plans

Entify

  • Open-sourceFree

Entify pricing →

Posidex Customer Entity Resolution and Matching

  • Customer Entity Resolution and MatchingPriced on request

Posidex Customer Entity Resolution and Matching pricing →

In their own words

Entify

Entify is a free, open-source workspace for linking records, resolving entities, and deduplicating datasets. It uses Splink 4 and DuckDB for matching, with exact, Jaro-Winkler, Jaccard, and Levenshtein comparisons. Automatic setup estimates column types, proposes blocking rules, and explains its choices for users to adjust. It reads CSV, TSV, Parquet, JSON, and Excel files, and reports row counts, distinct values, and completeness by column. Review tools include match evidence, score and threshold analysis, and PDF audit reports. Merge exports keep one surviving record per entity and retain source IDs for tracing or undoing merges. Entify runs locally with Docker or with Python 3.11+ and Node 20+; demo mode works without optional sign-in or shared storage. Its Docker quickstart needs no accounts, API keys, or external services, and uploaded data stays on the machine. The project is intended for data stewards and teams without specialist record-linkage expertise. Optional semantic blocking requires an extra install of roughly 600 MB of Torch dependencies.

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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.

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