Datafari vs Notion

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.

Notion is a cloud workspace for organising personal projects and coordinating work. Its pages, blocks, and databases support note sharing and real-time collaboration, and offline access is available. It runs on the web, Windows, macOS, iOS, and Android, with a Chrome extension also listed. Connections include Slack, Google Drive, Figma, GitHub, Zoom, and Microsoft Teams. Notion supports semantic search, AI search or answers, and version history. The Free plan costs $0 per member per month and includes trial AI capabilities and a trial of Notion AI. Free uploads are limited to 5 MB per file, multi-member Free workspaces have a limited number of blocks, and external guests are limited to 10. Plus costs $10 per member per month, and Business costs $20 per member per month; yearly payment saves up to 20%. Paid plans list unlimited guests. Notion says data is encrypted and private, and that Notion AI does not use customer data to train models unless users opt in. Enterprise workspaces get zero data retention with LLM providers.