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01Agent-first
Runs where you already work
Plug it into Claude, ChatGPT or Cursor. Describe the move in plain English; the agent runs it.
02Engineer-led
Our production engine, unlocked
The pipeline our engineers use on managed enterprise migrations — the same code, now something you can drive yourself.
03Pricing
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Credit-based, pay-as-you-go. No scoping call, no quote — sample it on your own docs before you spend anything.
04Sources
NotionSlabConfluenceSoonGoogle DocsSoon

Migrate from Confluence to Slab with precision & ease

A seamless, customizable migration solution for moving your Confluence data with perfect fidelity and minimal disruption.

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Last updated May 2026

Confluence
Slab
MIGRATION OVERVIEW

Why teams migrate from Confluence to Slab

The core problem
Slab has a native Confluence importer — you upload a Confluence XML space backup, Slab processes it server-side, and you get a confirmation email 1–3 days later. But macros, page-level permissions, version history, and embedded content without a Slab equivalent are silently dropped. For small, mostly-text Confluence spaces, the native importer works. For anything with complex macros, deep page trees, or hundreds of attachments, you need either a custom API pipeline or a managed migration service.
Why this matters for your migration
Confluence is built on Spaces with strict parent-child page hierarchies, XHTML-based storage format with embedded macros, and granular page-level restrictions. Slab is built on Topics (flexible groupings) and Posts stored in Quill Delta format — with no macro system, no page templates, no per-post permissions, and a flatter organizational model. The macro problem is the biggest architectural gap: Jira macros, status badges, draw.io diagrams, and expand/collapse have no Slab equivalent.
A successful migration requires converting Confluence Storage Format to Markdown, handling every macro type explicitly, re-hosting attachments from Confluence's CDN, rewriting all internal links via a two-pass page-ID-to-post-URL mapping, and navigating Slab's 1,000 complexity points per minute GraphQL API rate limit — all while Confluence's own API enforces separate burst and point-based quotas.
KEY CHALLENGES

What makes this migration complex

These are the architectural mismatches and technical hurdles specific to a Confluence to Slab migration.

Most Critical

Macro Gap

Slab has no macro system. Jira macros, status badges, draw.io diagrams, expand/collapse, Page Include, and roadmap macros have no equivalent — each requires an explicit handling decision.

Blocks all downstream imports if mapped wrong

Internal Link Rewriting

All Confluence page-ID-based URLs break after migration. A two-pass approach is required — migrate all pages first, then rewrite every link using a confluence_page_id → slab_post_url mapping table.

1–3 Day Processing Blind Spot

The native importer provides no progress visibility during processing. Large XML exports can fail with OutOfMemory or timeout errors, and there is no incremental import — it's full space or nothing.

Permission Model Downgrade

Confluence has page-level restrictions. Slab has topic-level permissions only (Open, Private, Secret, Public). Per-post access control does not exist, requiring complete permission redesign.

Attachment Re-Hosting

Images referenced by URL in Confluence Storage Format point to the Confluence instance which will be decommissioned. Every attachment must be downloaded, re-uploaded to Slab, and relinked in the post content.

COMPLETE COVERAGE

Intelligent Human-Verified Data Mapping

Our migration engineer precisely maps every data point from Confluence to Slab, ensuring perfect continuity for your customer support operations.

Confluence
Slab
Pages
Post
Blog Posts
Post
Spaces
Topic
Labels
Topic
Comments (Inline)
NotAvailable (workaround: append to post body)
Comments (Footer)
NotAvailable (workaround: append to post body)
Attachments
Post
Page Templates
Post
Smart Links / Embeds
Post
Tasks
Posts (embedded as checklists/content)
Space Permissions
NotAvailable (partial approximation via Slab's native access controls)

Looking for more entity mappings?

Contact our team
MIGRATION RISK ASSESSMENT

Every migration risk, already solved

Migration between platforms is full of edge cases. Our engineers have identified every risk from Confluence to Slab and built proven solutions for each one.

High complexity
  • Confluence Macros (Jira, Status, Roadmap)
    No Slab equivalent exists — content inside macros can sometimes be extracted as text but macro behavior is permanently lost
    Solved
  • Page-Level Permissions
    Slab only supports topic-level permissions — per-page restrictions cannot be replicated and require complete redesign
    Solved
  • Internal Links
    All Confluence URLs break unless a full page-ID-to-post-URL mapping and rewriting pass is performed
    Solved
  • Version History
    Not migrated — Slab maintains its own version history only from the import date forward
    Solved
  • Page Templates
    Slab has no template system — all Confluence templates must be recreated manually as reusable posts
    Solved
Custom engineering
  • Draw.io / Gliffy Diagrams
    Must be exported as PNG/SVG and embedded as images — the editable diagram capability is permanently lost
    Handled
  • Expand / Collapse Sections
    No native equivalent in Slab — collapsed content is flattened inline
    Handled
  • Blog Posts
    No distinct blog type in Slab — blog posts become regular posts optionally grouped in a dedicated topic
    Handled
  • Attachments
    Size limits vary by plan (10 MB Free to 100 MB Business) — large PDFs or archives may exceed Slab's limits
    Handled
Clean transfer
  • Code Blocks
    Maps cleanly to Slab's code blocks with language identifier normalization
    Clean
What Our Customers Say

Real migration stories

See all customer stories →
CUSTOM MIGRATION

Fully customizable engineer-led migration

Tailor your migration from Confluence to Slab exactly to your needs with our flexible customization options. Our experts will configure the perfect migration plan for your business.

Migration Filters

Publication Status

Filter by published, draft, archived, or internal-only articles

Language & Locale

Migrate specific language versions or translations only

Category Selection

Select specific sections, folders, or categories to migrate

Time Range

Migrate articles created or updated within a specific period

Data Types

Articles & Content

Core help articles including HTML formatting and inline images

Categories & Hierarchy

Full folder structure with sections, sub-sections, and parent categories

Media & Attachments

All downloadable files, PDFs, and media assets embedded in articles

Tags & Metadata

SEO settings, search labels, author attribution, and article tags

ZERO DOWNTIME

Your timeline. Our engineers.

A dedicated engineer runs your migration, planned around your schedule and your data.

No babysitting a wizard. Avoid debugging errors yourself.

Looking for a more detailed migration timeline?

Contact our team

Speed

The migration timeline depends on both our turnaround time and yours.

We can complete a migration in under a day when the accounts are connected and the sample migration is approved promptly.

Background Sync

We also support migrating the newest records first, so you can go live faster while the rest of the data is synced in the background.

Data Volume Impact

Larger data volumes may require longer migration windows.

Continuous Operation

Weekend migrations minimize disruption to your customer service operations.

MIGRATION TIMELINE

Your Confluence to Slab migration, step by step

See how long your migration will take from start to finish. Drag the slider to estimate based on your data volume.

How many records are you migrating?

<10K 50K 100K 250K 500K 1M 2M 5M 10M+
Checklist ~3 days
Sample 1 day
Review ~2 days
Full 2 days
Delta 1 day
Your team ClonePartner

Estimated total

~9 business days

1

Migration Checklist

1 day · ClonePartner ~2 days · Your team

We prepare the optimal data mapping as a shareable spreadsheet. Your team reviews, approves, and adds any customizations.

2

Sample Migration

1 day · ClonePartner

We run a test migration with a representative sample of your data to verify mapping accuracy and identify any potential issues before the full run.

3

Review & Approve

~2 days · Your team

Your team reviews the sample migration results, confirms data accuracy and mapping, and gives the go-ahead for the full migration.

4

Full Migration

2 days · ClonePartner

We execute the complete migration of all your data to your new Slab, with real-time progress tracking and comprehensive logging.

5

Delta Migration

1 day · ClonePartner

We capture and transfer any new data that was added or updated during the main migration to ensure no data is lost. This final sync keeps everything current.

Related Guides

Pros and cons of different migration options

Choosing the right approach is key because migrating from Confluence to Slab isn't just about moving data – it's about protecting your content and search visibility.

Feature / Criteria ClonePartner Automated Tools CSV Import In-house migration
Custom Scripting for complex data ✓ Engineers build & maintain ✗ No ⚠ Manual ✓ Yes – but costly
Sandbox & Pilot Migrations ✓ Full sandbox + pilot plans ⚠ Limited ✗ No ⚠ Often Informal
Manual validation & reconciliation ✓ Automated + manual QA ✗ No ✓ Yes (Manual) ✓ Heavy manual effort
Backup & rollback plan ✓ Robust procedures ✗ No ✗ No ⚠ Often incomplete
Handles automation and integrations ✓ Full support ⚠ Partial ✗ No ⚠ Possible but fragmented
Post-migration engineer support ✓ Dedicated engineers ✗ No ✗ No ⚠ Limited content support
Adaptable to API changes ✓ Proactive adaptation ✗ No ⚠ Manual fixes ⚠ Slower response
Turnaround / publish predictability ✓ Predictable publish timelines ⚠ Fast but brittle ⚠ Slow and manual ⚠ Often slower
Data Security & Compliance ✓ High – enterprise grade ⚠ Medium (depends) ⚠ Low (manual) ⚠ Hidden gaps common
Pricing predictability ✓ Transparent & fixed ⚠ Low (per-job) ⚠ Low (manual hours) ⚠ High/variable OPEX
End-to-end project management ✓ Full E2E delivery & PM ✗ No ✗ No ⚠ Often partial
Business impact & opportunity cost ✓ No diversion of staff ✗ No ✗ No ⚠ Diverts engineering

What does an Engineer-led migration mean anyway?

Speed & Accuracy: Our Blended Method

We blend automation (smart scripts, bulk APIs) with human expertise for speed without risk. Our engineers manually check every mapping, validation, and exception.

You get:

  1. Speed of automation for bulk record migration
  2. Precision of engineers verifying integrity and business logic
  3. Pilot migrations and sandbox testing to catch issues early
  4. Real-time validation reports and rollback readiness
Result: 50x faster migrations than manual imports — with near-zero error rates.

Handling the Tricky Tech and API Details

The Confluence and Slab APIs each behave differently, which is where our engineers shine. We build custom logic to handle the data quirks where generic tools typically break.

We handcraft API logic for:

  1. Field mapping and transformation
  2. Pagination, rate-limit handling, and throttling
  3. Preserving article history, media, and author metadata
  4. Syncing custom fields, categories, and tags without breaking structure
Our scripts: Natively retry failed calls, re-queue large attachments, and ensure data parity.

No Guesswork

We don't just promise smooth migrations—we measure and prove them. Every client receives a Migration Validation Report with all metrics.

Typical results across projects:

  1. 100% record-count parity between your Confluence data and Slab
  2. Zero downtime during staged cutovers
  3. 99.9% attachment integrity (verified via checksum)
  4. Full automation and preservation of all business rules
Our standard: Includes full SEO and category-structure preservation and 30 days of engineer-assigned support post go-live.

We Adapt to Your Setup (Not the Other Way Around)

No two teams configure Confluence or Slab exactly the same way—with unique content structures and data. We customize every migration script to fit your exact workflow, categories, and tags.

Our engineers adapt for:

  1. Custom fields, categories, and workflows
  2. Multi-brand or multi-language setups
  3. Historical imports and partial (date-based) migrations
  4. Integration re-mapping for search, chat, or feedback tools
The promise: If your data doesn't fit a standard template, we build one just for you.

Enterprise-Grade Security & Compliance

Your customer data is precious. Our migration process maintains the highest standards of security and regulatory compliance.

SOC 2 Type II

Independently audited compliance with rigorous security standards

ISO 27001

Certified information security management system

GDPR

Full compliance with EU data protection regulations

HIPAA

Certified for handling protected health information

AES-256 Encryption

Bank-grade encryption for all stored credentials

Latest TLS

Secure transfer protocol for all data in transit

Role-Based Access

We follow role-based access control for every migration project

Scheduled Deletion

Automatic data purging after migration completion

FAQ

Frequently Asked Questions

Everything you need to know about migrating from Confluence to Slab. Can't find what you're looking for? Talk to our team.

Still have questions?

Book a free 30-minute consultation with our team.

Contact our team

Before you start

6 questions
Do I need professional help for this migration?
Yes. Professional help ensures proper field mapping and preservation of relationships between records. Our engineer-led approach catches edge cases that automated tools miss.
Does ClonePartner provide guidance before committing?
Yes. We provide a free consultation and assessment. We'll review your data structure, discuss your requirements, and provide a detailed migration plan and fixed-price quote before you commit to anything.
Do you use an off-the-shelf tool to migrate from Confluence to Slab, or is this built for our data?
It is built for your data. Each migration is a set of custom scripts written for your data model, not a generic import tool. That is also why we start with a sample migration: you see your own records in Slab before the full migration is committed.
Can we see a sample of our Confluence data migrated to Slab before the full migration runs?
Yes. We run a sample migration on your own data first, so you can review how your records look in Slab before the full migration goes ahead. We run validation scripts to confirm the record counts match your source, and you check the sample against your source records; if a field is missing or mapped wrong, or anything else needs adjusting, we fix it in the migration scripts and re-run the sample as many times as you need. The full migration only runs after you've approved the sample. On projects delivered in phases, each phase gets its own sample migration for you to approve.
We have lots of empty or abandoned pages in Confluence. Do we have to sort through them before the migration?
No. Once your Confluence account is connected, we flag empty and minimal-content pages in the migration checklist. You can then decide which ones to leave behind without reviewing every page yourself, and the migration is planned on the pages you actually want to move.
Do our users need to be set up in Slab before the migration?
We recommend it for the full migration. When your users already exist in Slab, we can attribute each piece of content to the right person. A sample migration does not need this, because we use a default user for it.

Data & mapping

12 questions
Will original ownership, authorship and created dates be preserved?
Yes. Created-time metadata is carried across, and ownership and authorship are carried across where the original users are set up in Slab. Where Slab cannot store one of them natively, it is kept as embedded metadata on the migrated record.
If the new system can't natively support an old record type, what are my options?
We handle it case by case. While mapping your data, we identify every record type without a direct counterpart in Slab, review sample records from it and propose how it can be represented, based on what Slab supports: map it to the closest native object, create a custom field or object, fold it into the parent record as text or a note, attach it as a file, or keep it in a read-only archive. You choose the approach, we write the migration scripts to place the data there, so it comes across in the form you choose instead of being left behind, and you see how it looks in a sample migration before we run the full set.
What happens to Confluence content or formatting that has no equivalent in Slab?
We map it to the closest equivalent Slab offers and agree that mapping with you before the migration runs. The sample migration then shows you the result on your own content, so you can see how anything without a direct match comes across before the full run.
Will the migration set off automations or send emails or notifications to customers, our team or anyone else?
No. Before the sample or full migration starts, we confirm with you that nothing in Slab will send messages about the migrated data: we import with notifications switched off wherever Slab allows it, and either pause any automation that could send them for the migration window or give it a condition, such as a suppression tag, that skips migrated records, which lets your live automations keep running for new records. We only proceed once you have confirmed it. If you want anyone told about the move, that message is sent separately, once the migrated data has been checked.
Can you migrate data that Slab can't take in through an API?
In many cases, yes. Where something can't be written through an API, we recreate it through Slab's user interface where the interface allows it, and where that work is repetitive we script and automate it. We tell you up front which items are handled this way, because recreating them through the interface can add time to the schedule.
What happens if Slab requires fields our Confluence data doesn't have?
We check the destination for required fields your source data cannot fill and bring each one to you before those records are migrated. Together we agree how each one is handled, such as a mapping from an existing field, a default value, or, where Slab lets that field be made optional, setting it to not required for the migration so you can make it required again once the migration is complete. The migration then runs with that rule applied, so no records are rejected or left behind.
Do we need to convert tables or clean up our Confluence articles before the migration?
No. We read each article's original content from Confluence and transform it in our migration scripts before loading it into Slab, so your team doesn't need to convert tables to text or screenshots first. You can check how tables come across in the sample migration before the full run.
Can you migrate team members' private Confluence pages, or only the pages the admin account can see?
Yes, though on some platforms each owner has to grant access first. Where private pages are hidden from the admin's connection, as they are in Notion, the connection only reaches pages the connecting person selects, so each owner connects their own account and their private pages then become visible to the migration. Some teams choose to leave personal pages out of the bulk migration instead and let individuals move only what they need.
If our Confluence articles have translations, will they stay linked to the originals as language variants in Slab, rather than becoming separate articles?
Yes, where Slab supports language versions. We keep each translation linked to its original article as a language version rather than creating it as a separate article. Links between articles are rewritten to point at the new articles as well.
Can you migrate the version history of our Confluence content to Slab, and is there a limit on how many versions come across?
It depends on Slab: some platforms can't take version history at all. Where a platform can't take it, each document arrives as its latest version, with an authorship and "migrated from" line added. Where Slab can hold past versions, any cap on how many it keeps is Slab's own, so we confirm it with you during scoping.
Will our Confluence page hierarchy, structure and categories stay the same in Slab, or do we need to set them up first?
By default they carry over wherever the new platform supports them, and you don't need to set them up beforehand. We recreate your page tree or categories in Slab as part of the migration, wherever it supports them, so each page keeps its place under the same parent, and once every page exists, a second pass points internal links at the new pages. Where Slab organises content differently, we agree the mapping with you first, and any categories you'd rather leave behind are agreed during scoping. You review the structure in the sample migration before the full run.
Can you reorganize our Confluence folder and page structure during the migration, for example if Slab allows fewer levels?
Yes. You can set up the structure you want in Slab first, and we write the migration scripts to place each page into it. Or we migrate everything as it is and restructure it afterwards through Slab's API where it allows that, which is faster than moving pages by hand. Where Slab allows fewer levels than Confluence, we agree with you how each level maps before anything runs, and the sample migration shows the result.

Timeline & downtime

2 questions
How long does the Confluence to Slab migration take?
Most migrations complete within 1–5 business days, depending on data volume and complexity; very large migrations, such as several hundred thousand records, take longer. We provide a detailed timeline after the initial assessment and can often complete small migrations in under 24 hours.
Will there be downtime when migrating from Confluence to Slab?
No. Our migration process is designed for zero downtime. Confluence stays fully operational throughout: the bulk migration runs in the background and the cutover is fast, so there is no disruption to your live business operations.

Security & access

1 question
Can we whitelist a single IP instead of opening our network to your migration tool?
Yes. All migration traffic runs through a centralized system using one fixed IP, which your IT team can whitelist instead of opening broader network access.

Pricing

1 question
Is migration pricing a flat fee, or does it scale with data volume?
It's a flat fee with no hidden costs. The price we agree with you for your scope is the price you pay, and small variances in the final volume, a bit more or less, are included.

After go-live

4 questions
How do I validate that everything migrated correctly?
Every client receives a Migration Validation Report with comprehensive metrics including record-count comparison, attachment integrity verification via checksum, and full audit logs of the migration run, showing every record created, skipped or failed. If any item didn't come across, the report names each one, the specific reason, and how to bring it across if you want it there. We also offer unlimited sample migrations, so you can check your data before the full migration runs.
What support do you provide after the migration goes live?
At ClonePartner, we consider ourselves your partners in this journey. We take full accountability for your migration's success. Once your migration goes live, we provide 30 days of comprehensive post-migration support as standard, and longer support, such as 60 or 90 days, can be agreed for your project. During this period, we help with anything related to your migrated data, so your migration is a complete success.
Will we get a migration report and a mapping sheet linking old record IDs to new ones?
Yes. We provide a comprehensive migration report along with an ID-mapping sheet that links each old Confluence record ID to its new ID in Slab. This ensures full traceability, simplifies post-migration verification, and helps your team validate that records have been migrated accurately.
After migration, do I contact ClonePartner or the platform's own support if something looks wrong?
ClonePartner is the contact for anything about the migrated data itself. Questions about the platform itself, such as how its features and settings work, go to the platform's own support or to whoever administers it for you.

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Attention to Detail

We meticulously handle every aspect of your migration, ensuring no data is lost during transfer and mapping every field correctly between platforms.

Custom Solutions

Every business is unique. We tailor your migration strategy to match your specific requirements, workflows, and data structures.

Security & Compliance

Your customer data is handled with enterprise-grade security protocols, ensuring compliance with GDPR, HIPAA, and industry standards.