Fabric vs Confluence

Last updated May 2026

Confluence isn't bad at what it was built for. In 2004, structured team documentation needed a wiki. Confluence was that wiki. Twenty years later, the world changed. Confluence mostly didn't.

Someone has to own the structure. Someone has to keep pages updated, enforce naming conventions, archive stale content, and prune the graveyard of pages nobody trusts anymore. In most companies, nobody does. Confluence becomes a maze of outdated documentation that people stop contributing to because they can't find anything and don't trust what they find.

Fabric approaches the problem differently. You save things. The AI organises and connects them automatically. Semantic search finds anything by meaning, not by folder path. The knowledge system works without a dedicated librarian.

Comparison table

What is Confluence?

Confluence is Atlassian's team wiki and documentation platform. You create Spaces, build page trees, write documentation, and share knowledge across your organisation. Templates cover everything from meeting notes to product requirements. Version history tracks every change. Real-time co-editing lets multiple people work on a page simultaneously. The deep integration with Jira makes Confluence the documentation layer for engineering teams already in the Atlassian ecosystem.

Free for up to 10 users. Standard at ~$5.42/user/month adds Rovo AI (with credit limits), guest access, and automation. Premium at ~$10.44/user/month adds unlimited storage and better support. Enterprise at ~$23-25/user/month adds advanced compliance and multi-site management. Marketplace apps for diagramming, reporting, and workflow tools are not included in any tier's base price.

Confluence has been around for over 20 years. That's both its strength (mature ecosystem, deep integrations, thousands of templates) and its weakness (a product built for 2004's understanding of knowledge management).

What is Fabric?

Fabric is an AI workspace that combines file storage, note-taking, search, tasks, collaboration, and publishing. The Fabric Memory Engine automatically extracts, enriches, and maps relationships between everything you save. Where Confluence requires someone to build and maintain the structure, Fabric builds understanding from your content automatically. No page trees to prune. No stale documentation to archive. No naming conventions to enforce. The AI is the librarian. See also how Fabric compares to Glean, another approach to enterprise knowledge, and how teams use Fabric as a team wiki.

Key differences

The maintenance problem

This is why people search "Confluence alternative." Not because Confluence can't store documentation. It can. The problem is what happens over time.

Page trees grow unchecked. Teams create spaces for projects that ended two years ago. Naming conventions drift across departments. A new hire searches for the onboarding guide and finds three versions, two of them outdated, none marked as current. The marketing team stopped updating their space in Q2. Engineering's API documentation is six months stale. Nobody knows which pages are authoritative.

Confluence requires a librarian. Someone has to own the structure, enforce conventions, archive stale content, and maintain the hierarchy. In practice, nobody does. The wiki rots.

Fabric doesn't have this problem because it doesn't depend on manual structure. You save content. The Memory Engine extracts, enriches, and indexes it. The AI maps relationships automatically. Semantic search finds things by meaning, not by page tree location. Stale content doesn't hide behind a well-maintained hierarchy because the hierarchy isn't the retrieval mechanism. The AI is.

Search

Confluence's search is universally cited as a major weakness. G2, Gartner Peer Insights, Reddit. The complaint is consistent across years of reviews: you know the page exists but you can't find it. Keyword search across hundreds of pages returns too many results, too few relevant. Rovo AI on paid plans improves this, but it's an add-on to a fundamentally text-based search architecture.

Fabric's search works by meaning. Describe what you're looking for in your own words. Fabric finds it even if the exact words don't appear in the document. Inside PDFs, jumping to the paragraph. Inside audio and video, jumping to the timestamp. Visual search finds similar images. Colour search finds assets by palette. Cross-platform search pulls from Google Drive, Notion, and Dropbox alongside your Fabric library.

Confluence searches pages. Fabric searches meaning, across every format.

AI

Confluence added Rovo (AI search, chat, and agents) to Standard plans and above. It has credit limits (25 per user per month on Standard). The AI can search, summarise, and answer questions about your Confluence content. It's useful but feels bolted on. The core product was built for 20 years without AI, and the integration shows.

Fabric's AI is foundational. Every file you save is understood by the AI from the moment you save it. The AI answers questions across your entire library, summarises documents, transcribes audio and video, maps relationships, and takes actions. Multiple models. No credit limits. The AI isn't a feature. It's the architecture.

Content types

Confluence handles wiki pages, blog posts, databases, and embedded files. Attachments (PDFs, images, spreadsheets) can be added to pages but aren't deeply indexed or AI-queryable. You can't search inside a PDF attachment by paragraph, search inside a video by transcript, or find images by visual similarity.

Fabric handles everything: PDFs, images, video, audio, documents, slides, spreadsheets, ePubs, links, emails. All automatically extracted, enriched, and searchable. A PDF is searchable to the page. A recording is searchable to the timestamp. An image is findable by visual similarity or colour.

Jira integration

This is Confluence's strongest lock-in. Pages link to Jira issues. Jira macros embed in Confluence pages. Sprint planning, incident reports, product specs, they all flow between the two products natively. For engineering teams running on Jira, Confluence is the documentation layer that's already connected.

Fabric doesn't integrate with Jira. If your team's workflow is deeply Jira-centric, this is a real gap. Confluence's value for engineering teams is inseparable from the Atlassian ecosystem.

The stale page problem

In Confluence, an outdated page looks identical to a current one. There's no visual signal that a page hasn't been updated in two years. No automatic flagging of stale content. No AI that surfaces when information might be outdated. You trust the page and discover later that it was wrong.

Fabric's approach reduces this problem by design. The AI understands when content was saved and can contextualise its age. Semantic search surfaces the most relevant content regardless of when it was created. And because Fabric doesn't depend on a manually maintained page tree, there's no hierarchy to become misleading.

Publishing

Confluence shares pages via public links. Basic page view tracking. No analytics on who specifically viewed, when, or how long they spent.

Fabric lets you publish anything with one click. Built-in analytics show who viewed, when, and how long. Password protection. Stakeholder-specific links.

Meeting notes

Confluence has templates for meeting notes. You write the notes yourself after the meeting.

Fabric does bot-free real-time transcription with AI summaries, action item extraction, and smart meeting notes that merge your notes with the conversation transcript. The meeting notes connect to everything else in your library automatically.

When to use each

Use Fabric if you want knowledge that organises itself. You want search by meaning across all content types. You want AI that understands your entire library without credit limits. You work with more than wiki pages: PDFs, recordings, images, design files. You want meeting transcription, a spatial canvas, publishing with analytics, and tasks. You're a small-to-medium team that wants knowledge to actually be useful without hiring a librarian to maintain it.

Use Confluence if your engineering team runs on Jira and needs deep, two-way integration between documentation and issue tracking. You're a large organisation with structured technical documentation requirements, compliance needs, and an Atlassian ecosystem you've invested in over years. You have someone who will maintain the wiki. And you're willing to pay for Marketplace apps that extend the base product.

Why people move from Confluence to Fabric

They couldn't find anything. The single most common complaint about Confluence. Search returns too many results, too few relevant. Fabric's semantic search solved this immediately.

Nobody maintained the wiki. Page trees grew unchecked. Stale content wasn't archived. Three versions of the same document existed with no indication which was current. Fabric doesn't depend on someone maintaining the structure.

They had more than wiki pages. PDFs, design files, meeting recordings, saved articles, slide decks. Confluence treats these as attachments. Fabric treats them as content the AI understands.

The AI felt like an afterthought. Rovo's credit limits, bolt-on feel, and limited scope compared to Fabric's native, library-wide AI assistant.

Marketplace costs added up. Diagramming tools, reporting, compliance features, workflow automation. Each a separate subscription on top of Confluence's per-user pricing. Fabric includes more functionality in one subscription.

FAQs

Does Fabric integrate with Jira?

Not natively. If your team's workflow depends on deep Jira integration for linking documentation to issues, Confluence is the right tool for that specific need. Fabric connects to Google Drive, Notion, Dropbox, Gmail, GitHub, and more.

Is Confluence's search really that bad?

It's the most common complaint in reviews across G2, Gartner Peer Insights, and Reddit. Keyword search across a large, disorganised wiki returns overwhelming results. Rovo AI on paid plans improves this but doesn't fix the underlying architecture. Fabric searches by meaning.

Is Fabric free?

Generous free plan. $5/month Plus tier. No per-user pricing. Confluence is free for up to 10 users, then $5.42-25/user/month depending on tier, plus Marketplace app costs.

Can Fabric handle structured technical documentation like Confluence?

Fabric has a full markdown editor with version history and real-time co-editing. It can handle documentation. But it doesn't have Confluence's 20 years of templates, macros, page tree hierarchy, or structured wiki conventions designed specifically for technical

documentation at enterprise scale.

Does Confluence have AI?

Rovo AI on Standard plans and above provides search, chat, and agents. It has credit limits (25/user/month on Standard). Fabric's AI is included at every tier without credit limits and understands all content types, not just wiki pages.

What if we're already deep in the Atlassian ecosystem?

Stay on Confluence for Jira-linked engineering documentation. Consider Fabric for everything else: team knowledge that isn't structured technical docs, meeting notes, research, files, published content. Some teams run both: Confluence for engineering, Fabric for everyone else.