Glean vs Confluence: which solves your knowledge problem in 2026?

Last updated May 2026

You can't find anything in Confluence. You know that. Everyone in your company knows that. The question is what to do about it.

Glean is one answer: add a search layer on top of Confluence (and Slack, and Google Drive, and Jira, and everything else). Glean doesn't replace Confluence. It makes Confluence more findable. Your wiki stays where it is. Glean indexes it alongside your other tools and gives employees a single search bar across all of them.

But if Confluence is the problem, making it more searchable is a treatment, not a cure. The stale pages are still stale. The unmaintained structure is still unmaintained. The content nobody trusts is now more discoverable, which might make things worse, not better.

Side-by-side comparison

The real question

Glean and Confluence aren't competitors. Glean is a search layer. Confluence is a knowledge repository. They work together. Glean connects to Confluence as one of 100+ data sources and makes its content searchable alongside everything else.

The real question is: which problem are you solving?

"I can't find things in Confluence"

Glean fixes this. Its hybrid search (keyword + vector + RAG) with permission-aware results is genuinely better than Confluence's native search. If the content in Confluence is good but unfindable, Glean makes it findable. It also searches Slack, Google Drive, Jira, and dozens of other tools from the same bar.

The cost: ~$45-50/user/month base, plus AI add-on, plus implementation. Minimum $50-60K/year. For a large enterprise where Confluence search costs employees hours per week, Glean pays for itself.

"Confluence is a mess that nobody maintains"

Glean doesn't fix this. It makes a mess more searchable. The stale onboarding guide that hasn't been updated in two years? Glean finds it faster. That doesn't make it accurate. The three competing versions of the same document? Glean surfaces all three. Now you still don't know which to trust.

Glean retrieves. It doesn't evaluate, verify, or maintain. If the underlying content is unreliable, faster retrieval of unreliable content doesn't solve the problem. It might amplify it.

"We need a better way to manage knowledge"

Neither tool alone solves this. Confluence stores knowledge but doesn't help you maintain it. Glean finds knowledge but doesn't create or maintain it. Together they work: Confluence holds the content, Glean makes it searchable. But the maintenance problem, the librarian problem, persists.

Where Glean adds value on top of Confluence

Unified search. Search Confluence, Slack, Google Drive, Jira, Salesforce, and 100+ other tools from one bar. For employees who waste time searching across multiple platforms, this is the core value.

Better Confluence search. Glean's search across Confluence content is more capable than Confluence's own search. Vector search and RAG find relevant content that keyword search misses.

AI-powered answers. Ask a question in natural language. Get an answer grounded in your company's data across all connected tools, not just Confluence.

Cross-tool context. A question about a project returns results from the Confluence doc, the Jira tickets, the Slack discussions, and the Google Drive files. Confluence's search only sees Confluence.

Where both still fall short together

Neither understands your files deeply. Glean searches text across connected apps. Confluence stores files as attachments. Neither searches inside PDFs by paragraph, inside video by transcript, or across images by visual similarity.

Neither eliminates maintenance. The wiki still needs humans writing, verifying, and updating pages. Glean makes existing content more findable. It doesn't create missing content or flag stale content.

Neither handles diverse content natively. Meeting recordings, design files, voice memos, images, saved web articles. Confluence treats them as attachments. Glean indexes text from connected sources. Neither extracts meaning from non-text content.

The combined cost is significant. Confluence on M365 or Atlassian licensing plus Glean at $50-60K/year minimum. For a large enterprise, this is justifiable. For a 30-person startup, you're paying enterprise prices for a wiki plus a search tool for the wiki.

If you're buying a search tool for your wiki, the wiki might be the problem

Here's the uncomfortable question. If your team needs to spend $50,000+ per year on a separate product to make your wiki searchable, is the wiki working?

Fabric replaces the wiki and the search problem simultaneously.

You save content, any file type, from any source. The AI organises and connects it automatically. Semantic search finds things by meaning, not by keyword or folder path. 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.

No wiki to maintain. No separate search product to buy. No $50K+ annual contract. No IT deployment. No permission mapping. No relevance tuning.

Notes with real-time co-editing. A spatial canvas with live embeds. Annotations on any content type. Bot-free meeting transcription. Tasks with due dates and reminders. Publishing with analytics. One tool. Generous free plan. $5/month Plus.

For teams at enterprise scale with deep Atlassian and Microsoft integrations, Confluence plus Glean is the pragmatic choice. For everyone else, a knowledge system that doesn't need a search product bolted on top is a simpler answer.

See the full comparisons: Fabric vs Glean and Fabric vs Confluence.

How to choose

Add Glean to Confluence if you're a large enterprise already committed to Confluence and the Atlassian ecosystem. Your content is good but unfindable. You need unified search across 100+ tools. You have the budget ($50-60K+/year) and IT resources for deployment. Glean makes Confluence usable without replacing it.

Keep Confluence without Glean if your team is small enough that Confluence's search, combined with good structure and Rovo AI, is adequate. Invest in better wiki maintenance instead of better search. Sometimes the problem isn't the search. It's the content.

Try Fabric if you're asking whether you need a separate search product for your wiki. Fabric is the knowledge system where search, AI, and content creation are one product. No wiki to maintain. No search layer to buy. Semantic search that finds things by meaning, included at every tier. A team wiki that maintains itself. Generous free plan.

FAQs

Does Glean replace Confluence?

No. Glean is a search layer that sits on top of Confluence and other tools. The content stays in Confluence. Glean makes it more findable alongside content from other platforms.

Can Confluence's search be fixed without Glean?

Rovo AI on Standard+ improves search with AI-powered Q&A (25 credits/user/month). Better wiki structure and metadata also help. But if your Confluence has thousands of pages across poorly maintained spaces, Rovo's credit-limited AI won't solve the structural problem. Glean goes further.

How much does Glean cost on top of Confluence?

Glean starts at approximately $45-50/user/month with a minimum ~100-seat, ~$50-60K/year commitment. This is on top of Confluence licensing. For a 200-person company on Confluence Standard plus Glean, the combined knowledge cost is roughly $25,000/year (Confluence) plus $120,000/year (Glean). Fabric is $5/month flat.

Does Fabric search as many tools as Glean?

No. Glean connects to 100+ enterprise apps. Fabric connects to Google Drive, Notion, Dropbox, Gmail, GitHub, and more. Fewer connectors, but Fabric also stores, organises, and creates content. Glean only searches.

What if our Confluence content is good but hard to find?

Glean is the right tool. If the problem is purely discoverability across good, maintained content, a search layer is the efficient fix.

What if our Confluence is unmaintained?

Making bad content more findable doesn't make it good. Consider whether the investment should go into better search (Glean) or a different approach to knowledge management entirely (Fabric, Notion).

Is there a middle ground?

Fabric works as a team knowledge system that doesn't require wiki maintenance, with semantic search built in. For teams too small for Glean's pricing but frustrated with Confluence's search, Fabric covers both the content and the findability.