Datafari vs Fess
Datafari
datafari.com
Fess
fess.codelibs.orgSide by side
| Figure | Datafari | Fess |
|---|---|---|
| Price from | $825/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · Enterprise Search Software | 8.7 (#3) | 8.2 (#6) |
| Integrations | Listed sources include NetApp, Windows and Samba file shares, Dropbox, Liferay, Alfresco, SharePoint, Documentum, FileNet, CMIS, databases, social networks and email. | Fess can return search results in JSON, integrate with websites using JavaScript, and extend functionality through plugins. |
| Maker | The maker identifies France Labs as the software maker of Datafari. | CodeLibs, Inc. is located in Yokohama City, Kanagawa, Japan, and was established in November 2019. |
| Product | Datafari is an open-source enterprise search solution that finds company data across sources and formats. | Fess is an open-source enterprise search server for searching websites, files, and databases. |
| Search features | Search includes multilingual support, spellchecking, content suggestions, entity extraction, result clustering, alerts, and smart autocomplete. | Search includes facets, drill-down, autocomplete, suggestions, cached results, and thumbnails. |
| Support | The Community plan lists customer support as DIY, while the Initial plan lists customer support as included. | The open-source edition is community-supported and has no guaranteed support; paid professional support is available by email. |
Plans
In their own words
Datafari
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.