Entify
6.6#7 in data deduplication softwareFree planFree planWebAPISelf-hosted
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| Fact | Entify | Tilores |
|---|---|---|
| Deployment | It 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. | Tilores offers managed AWS, deployment in a customer's AWS account or another cloud, and on-premise deployment. |
| Integrations | Optional sign-in and shared storage use Clerk authentication and Supabase persistence. | The production platform lists prebuilt Salesforce, HubSpot and Snowflake connectors plus webhooks and event streaming. |
| Intended users | The project describes itself as intended to make record linkage usable by data stewards and teams without specialist record-linkage expertise. | The company describes Tilores as infrastructure for developers and presents use cases including fraud, compliance, Customer 360, and AI. |
| Matching | It supports exact, Jaro-Winkler, Jaccard, and Levenshtein comparisons, with semantic blocking available as an optional extra. | The platform combines deterministic rules and fuzzy matching, with explainable links, a quality score, and an audit trail. |
| Purpose | Entify is an early open-source workspace for entity resolution, record linkage, and data deduplication. | Tilores resolves duplicate and conflicting records across systems into unified entity profiles in real time. |
Entify is suited to data stewards and teams that need record linkage without specialist experience. It may also suit teams that want to run the workflow locally with Docker.
Tilores suits developers building systems for fraud, compliance, Customer 360, or AI workflows. Its local Studio mode may suit those evaluating entity matching on a computer, while production buyers can choose among cloud and on-premise deployment options.