What is Datafari used for?

Datafari is used to index and search documents across an organization's file shares, intranets, and business applications from one search interface.

Who should use Datafari?

Datafari suits IT teams and knowledge managers in organizations that need secure, self-hosted search across many internal content sources.

Datafari offers a free open source Community Edition under Apache 2.0, plus a paid Enterprise Edition with additional security features.

Does Datafari support AI search?

Yes. Datafari includes vector search and a RAG module that answers questions using compatible external large language models.

What are the best alternatives to Datafari?

Alternatives to Datafari include Elasticsearch, Sinequa, Coveo, and Bloomfire for enterprise search and knowledge discovery.

Datafari Reviews, Features & Alternatives

Overview

What is Datafari?

Datafari is an open source enterprise search platform from France Labs, built on Apache Solr and Apache ManifoldCF. It indexes content from file shares, SharePoint, Confluence, websites, and other sources, then offers full text, Boolean, fuzzy, and vector search with access control enforcement. Recent versions add RAG question answering with external LLMs. IT departments, knowledge managers, and organizations in defense, government, banking, and aerospace use Datafari to find documents across scattered information systems.

Best for

IT DepartmentsKnowledge ManagersGovernment AgenciesDefense OrganizationsEnterprise Search Teams

Product snapshot

Category: Data Mining & Discovery
Best for: Enterprise document search
Deployment: Cloud / On-premise
Free trial: Yes (free plan)
Integrations: SharePoint, Confluence, Alfresco, file shares
AI features: Yes

Key features

Key features of Datafari

Federated enterprise search

Searches documents across many internal systems from one interface.

Access control enforcement

Respects source permissions so users only see documents they may access.

Vector and semantic search

Uses Solr vector search to find content by meaning.

RAG question answering

Answers questions from indexed documents using compatible external LLMs.

Search analytics

Tracks search usage and query behavior through a built-in analytics module.

Saved search alerts

Records searches and sends alerts when matching content changes.

Reviews

Datafari reviews

3 reviews

Overall

5.0/5

Ease of use5/5
Features4.7/5
Value for money4.7/5
Customer support4.7/5

What users like

Effective keyword search results
Configurable boost queries for relevance
Open source and easy to install
Respects document access controls

What users dislike

Connectors need elevated source permissions
Full permissions need Enterprise Edition
No AI model hosted by default
No content publishing tools

Xavier S.

Team Lead

“Liked the very effective keyword search and the ability to create boost queries. Found that integrating with Office 365 and Confluence requires elevated rights in those products.”

Jean

“Liked that the tool helps with software research and finding relevant information across sources. Noted no major drawbacks so far.”

Anonymous User

Director IT and Logistics (CIO)

“Liked that it is open source, easy to install, respects access control lists, and can record and replay searches with change alerts. Noted no major drawbacks.”

Write a review

Sign in with your account to review Datafari.

Sign in to review

Alternatives

Top Datafari alternatives

Elasticsearch
Best for
Developer-built search
Why choose it
Flexible search engine with large ecosystem
Sinequa
Best for
Large enterprise search
Why choose it
Enterprise search with strong NLP features
View Sinequa
Coveo
Best for
AI-powered relevance
Why choose it
Managed AI search for websites and workplaces
Bloomfire
Best for
Knowledge sharing teams
Why choose it
Knowledge base with search and Q&A

Integrations

Datafari integrations

Datafari connects to content sources through Apache ManifoldCF connectors, covering Microsoft SharePoint, Office 365, Confluence, Alfresco, Windows file shares, databases, and websites through a web crawler. A regex connector and REST API v2 support custom indexing and application integration. Search runs on Apache Solr with vector search, and the RAG module works with any LLM exposing an OpenAI-compatible API, so teams can start with a hosted service and move to self-hosted models later. Single sign-on is supported, and Docker images simplify deployment. Some connectors, such as Office 365 and Confluence, require elevated rights in the source systems to read permissions.

FAQ

Datafari