Datafari vs Searchdaimon ES

Datafari is an open-source enterprise search solution made by France Labs for finding company data across sources and formats. Its crawlers collect content and metadata, with configurable processing filters and crawl-load management. Listed sources include NetApp, Windows and Samba file shares, Dropbox, Liferay, Alfresco, SharePoint, Documentum, FileNet, CMIS, databases, social networks, and email. A plugin mechanism allows connectors for additional sources.

Search features include multilingual support, spellchecking, suggestions, entity extraction, result clustering, alerts, and autocomplete. Relevance can use document content and metadata, query-specific boosts, entity recognition, and user context such as history, clicks, and department. Datafari supports hybrid and vector search, faceted search, and a REST query interface. Neural Datafari adds vector search and retrieval-augmented answers grounded in documents the user is authorized to access. The free Community plan is aimed at developers and DIY users; its support is DIY. The Initial plan costs $9,900 a year and includes customer support.

Searchdaimon ES has no write-up on Specifiction yet; its figures are above.