Entify vs Koalify

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.

Koalify is a web-based, HubSpot-native tool for identifying and merging duplicate contacts, companies, deals, tickets, and custom objects. Its matching rules can combine HubSpot properties such as email, phone number, domain, name similarity, and custom fields. For bulk cleanup, it can merge thousands of duplicates automatically through HubSpot workflow actions. Users can also view duplicate suggestions and merge records manually on HubSpot contact, company, deal, and ticket pages. Koalify properties can be used in HubSpot lists, reports, and alerts, including notifications to record owners. The service says it syncs only subscribed record types and properties used in duplicate, primary, or merge rules; temporary full-property backups may be made during merges unless backup is disabled. The free plan is for sandbox or demo accounts, or portals below 10,000 records. Pro costs $25 per month when billed annually, with pricing based on the selected objects’ total records rather than scans or merges.