Confluence vs Notion

Detailed side-by-side comparison to help you choose the right tool

Confluence

Knowledge Management

AI workspace for knowledge management and team collaboration from Atlassian.

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Starting Price

Custom

Notion

🟡Low Code

No-Code & Automation

All-in-one workspace that combines notes, databases, wikis, project management, and AI-powered writing into a flexible block-based platform for individuals and teams

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Starting Price

Free

Feature Comparison

Scroll horizontally to compare details.

FeatureConfluenceNotion
CategoryKnowledge ManagementNo-Code & Automation
Pricing Plans8 tiers8 tiers
Starting PriceFree
Key Features
  • â€ĸ AI-powered content generation and summarization with Atlassian Intelligence
  • â€ĸ Pages, whiteboards, and databases in one workspace
  • â€ĸ Deep Jira integration for linking docs to issues and epics
  • â€ĸ Block-based content editing
  • â€ĸ Database management with multiple views
  • â€ĸ AI-powered writing and automation

💡 Our Take

Choose Confluence if your organization relies on Jira, needs enterprise governance like SSO, SCIM, and audit logs, or runs regulated workloads that benefit from Atlassian Guard. Choose Notion if you want a cleaner block-based editor, more flexible databases, and a faster learning curve for non-technical teams such as marketing, operations, or startups without an existing Atlassian footprint.

Confluence - Pros & Cons

Pros

  • ✓Tight, native integration with Jira makes it the default documentation layer for software teams using Atlassian
  • ✓Atlassian Intelligence can summarize long pages, draft content, and answer questions grounded in your organization's data
  • ✓Free tier supports up to 10 users with unlimited pages and spaces, lowering the barrier to adoption
  • ✓3,000+ Marketplace apps let teams extend Confluence with diagramming, analytics, compliance, and workflow tools
  • ✓Mature enterprise features including SAML SSO, SCIM provisioning, audit logs, data residency, and Atlassian Guard governance
  • ✓Scales from small teams to 75,000+ customers including Fortune 500 deployments with tens of thousands of seats

Cons

  • ✗Interface can feel cluttered and dated compared to modern tools like Notion or Coda, especially for non-technical users
  • ✗Search quality historically lags behind the polished semantic search of purpose-built AI knowledge tools like Glean or Guru
  • ✗Atlassian Intelligence features require a Premium or Enterprise plan, limiting AI access on Standard and Free tiers
  • ✗Pricing scales per user and can become expensive for large organizations once Premium add-ons are included
  • ✗Best value is realized inside the Atlassian ecosystem; standalone use without Jira leaves meaningful functionality unused

Notion - Pros & Cons

Pros

  • ✓Extremely flexible block-based system lets teams build custom workflows without code — from simple wikis to complex project trackers with relational databases
  • ✓Relational databases with six view types, subtasks, and dependencies replace standalone tools for CRM, sprint tracking, and content calendars
  • ✓Business plan bundles full AI, autonomous Agents, Enterprise Search, and AI Meeting Notes at $20/user — competitive against separate AI subscriptions
  • ✓Custom Agents let teams build bespoke AI workflows that automate repetitive tasks directly within their workspace
  • ✓API, webhooks, and native integrations with Slack, GitHub, Jira, and Gmail create automated workflows across the development stack
  • ✓Notion Sites turns workspace pages into published websites with custom domains and SEO — no separate CMS needed

Cons

  • ✗Performance degrades noticeably with large databases (1,000+ rows) — filtering and sorting become sluggish on complex views
  • ✗Notion AI requires Business plan ($20/user/month) — Plus plan users get only a limited trial with no option to add full AI
  • ✗Mobile app is functional but significantly less capable than desktop — complex editing and database operations are difficult on phone
  • ✗Advanced features like relations, rollups, formulas, and Custom Agents have a steep learning curve that frustrates non-technical users

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