Does Confluence import Notion databases with their relations intact?

No. The native Atlassian importer flattens Notion databases into static HTML tables and converts individual database entries into subpages. Retaining interactive relations requires either manual recreation using Confluence macros or a custom API migration pipeline.

Why does the Confluence importer time out when uploading Notion data?

Timeouts generally occur when the exported Notion ZIP file exceeds Confluence Cloud's default attachment processing limits, which are often around 1GB. This requires users to export and import their Notion workspace in smaller, segmented chunks.

Should Notion pages be exported as PDF for a Confluence migration?

No. PDF exports create flat, uneditable documents that destroy the wiki structure and page tree hierarchy. HTML with subpages included is the required format for a structured Confluence migration.

How do I maintain authorship and page permissions during a Notion to Confluence migration?

During the native HTML import process, Confluence will prompt you to map Notion user IDs to Confluence user IDs. You must ensure all target users are fully provisioned in your Atlassian environment prior to executing the import, otherwise page authorship will default to an Anonymous user.

Can I use Markdown instead of HTML for the export?

While Notion allows Markdown exports, HTML is strictly recommended for Confluence migrations. Markdown exports often struggle with deep directory paths for image attachments and fail to translate Notion's toggle and column blocks as cleanly as the HTML parser.

Is it better to continuously sync Notion and Confluence instead of fully migrating?

Syncing is viable for temporary coexistence or siloed teams, but it incurs double licensing costs and risks data fragmentation. For permanent transitions, a hard migration eliminates the security overhead of maintaining two separate knowledge bases.

What happens to Notion's inline comments when moved to Confluence?

The native Atlassian HTML importer drops Notion inline comments entirely. If these comments contain critical historical context, you must manually resolve them or copy them into the main page body prior to executing the export.

The Ultimate Guide: Migrating from Notion to Confluence (Technical & Strategic)

Executive Summary (TL;DR)

To migrate data natively from Notion to Confluence, export the Notion workspace as an HTML ZIP file (with "Include subpages" enabled) and upload it via the Confluence Import from other tools setting. This native method flattens relational databases into static tables, drops inline comments, and frequently times out on export files exceeding Atlassian Cloud's default attachment processing limits (often around 1GB). Organizations must choose between three migration architectures: Native HTML Import (for flat text), Custom API Scripts (for developer-led teams), or Managed API Pipelines like Clone Partner (for automated relational database reconstruction).

Migrating from Notion to Confluence is fundamentally a data translation project. It requires converting a block-based, relational object model into a macro-driven, page-tree hierarchy.

Because the underlying architectures of these two platforms are incompatible, a standard 1:1 export is impossible. Standard text blocks migrate cleanly, but complex entities—like nested relations, rollups, and synced blocks—experience data degradation during a native transfer.

This guide outlines the technical blueprint for executing this migration, documenting exact failure modes, and providing a framework for selecting the correct migration architecture.

Phase 1: Pre-Migration Data Scoping

Before initiating any export protocol, organizations must map their existing data environment to prevent migrating legacy architecture into a new Confluence instance.

Calculate Workspace Volume: Assess the total payload. If the zipped HTML export exceeds 1GB, the Confluence Cloud UI importer will likely time out during processing. Workspaces of this size require chunked exports or API-based extraction.
Audit Relational Structures: Identify all Notion databases utilizing "Relation" or "Rollup" properties. Document these dependencies, as the native importer strips relational mapping.
User Mapping Prerequisites: Export a complete list of Notion Workspace Members and Guests. Target Confluence accounts must be provisioned prior to import; otherwise, page authorship and edit histories will default to an "Anonymous" user ID.

Phase 2: The Block-to-Macro Translation Protocol (Native Import)

For workspaces consisting primarily of flat text and simple hierarchies, the native Atlassian HTML importer is the standard path.

Step 1: Execute the Notion HTML Export

PDF and Markdown formats degrade wiki structure and image routing. HTML is the required format.

In Notion, navigate to Settings & Members > Settings.
Select Export all workspace content.
Set the export format to HTML.
Verify Include subpages is toggled ON to preserve hierarchy.
Click Export to generate the ZIP payload.

Step 2: Confluence Ingestion

Log into Confluence Cloud with "Create Space" permissions.
Navigate to Spaces > Import from other tools (or Space Settings > Integrations).
Select Notion and upload the ZIP payload.
Complete the user-mapping prompt to link Notion IDs to Confluence IDs.
Execute the import.

Phase 3: The Feature Degradation Matrix

Because Notion's block architecture cannot map perfectly to Confluence's macro environment, specific data structures fail during native import.

Notion Feature	Confluence Native Import Result	Required Architectural Fix
Simple Text & Headers	1:1 conversion.	None required.
Relational Databases	Degrades into a static HTML table. Relations are severed.	Manual rebuild using the Page Properties macro, or utilize an API-driven translation service.
Kanban / Board Views	Converts into a flat text table.	Manually recreate using Confluence's native Jira integration or Trello embeds.
Synced Blocks	Text duplicates onto the page, but the live sync is permanently broken.	Convert the source block to an Excerpt macro, and use Excerpt Include on destination pages.
Inline Comments	Data is dropped entirely.	Resolve or document comments into the main page body prior to export.
Toggle Lists	Converts into Confluence Expand macros.	Minor formatting review recommended post-import.

Phase 4: Bypassing Processing Limits & Time Estimation

If a native import fails, it is typically due to server-side timeouts when processing large, nested ZIP files.

The UI Chunking Strategy:

To bypass the default processing limits, the workspace must be segmented. Instead of a global workspace export, navigate to top-level parent pages (e.g., "Engineering Hub") and export only that parent page and its subpages. Ingest these smaller ZIP files sequentially.

QA Time Heuristic:

Native migrations require post-import quality assurance. Standard operational estimates dictate:

Execution Time: ~1 hour per 500 standard pages.
Data Reconstruction (QA): ~5 hours of manual rebuild time per complex relational database.

Phase 5: Migration Architecture Decision Matrix

Organizations must evaluate their workspace complexity against the available migration architectures to determine the most cost-effective route.

Migration Architecture	Ideal Use Case	Database Reconstruction	File Size Handling	IT Resource Requirement
Native Atlassian Importer	Text-heavy wikis, workspaces under 1,000 pages.	No (converts to flat tables).	Fails/times out on large ZIPs (>1GB).	High (Requires manual QA and macro rebuilding).
Open Source (GitHub Scripts)	Engineering teams capable of maintaining custom JSON mapping scripts.	Partial (requires custom developer logic).	Bypasses UI; depends on script stability.	Very High (Requires dedicated developer hours).
Managed API Pipeline (e.g., Clone Partner)	Enterprise environments, high reliance on relational databases, SOC2 compliance needs.	Yes (programmatically maps Notion blocks to Confluence macros).	Unlimited (API-driven extraction).	Low (Requires initial scoping, zero manual execution).

Phase 6: Post-Migration Validation

A migration is only complete after data integrity is verified.

Hierarchy Audit: Ensure child pages nested properly under their parent spaces. Confluence operates best with wider, shallower trees compared to Notion’s infinite nesting.
Link Remediation: Internal links may still point to notion.so URLs. Execute a global find-and-replace to update internal routing to the new Confluence environment.
Permission Validation: Verify that private pages (e.g., HR, Executive) did not inherit global workspace permissions during the transfer.

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Frequently Asked Questions

Scope of Advice & Calibration

Target Environment: This architectural guide applies specifically to migrations from Notion Workspaces to Confluence Cloud environments as of 2026. It does not cover legacy Confluence Server or Data Center deployments. Target Audience: IT Systems Architects, Operations Leads, and Technical Project Managers responsible for enterprise data integrity. Methodology: The failure modes, time heuristics, and block-to-macro translation protocols detailed below are derived from documented API constraints, Atlassian Community bug reports, and standard enterprise data-scoping practices.

Sources & References

To verify the technical constraints, API limits, and importer behaviors discussed in this architecture guide, refer to the following official documentation and repository logs:

Atlassian Support: Import data from Notion into Confluence Cloud
Atlassian Community: Notion to Confluence Cloud Migration Guide & Documentation
Notion Help Center: Export your content (HTML, PDF, Markdown & CSV)
GitHub Open Source Diagnostics: Technical limitations of custom API translations can be reviewed in public repositories such as johnapaz/notion-confluence-migrator.