Migrating from Confluence to GitLab
GitLab and Confluence both handle source code management and ci cd pipelines, but they differ on pricing — Confluence comes in $22.95/user/mo/user/mo lower. This guide covers how to move your team across without losing data, context, or momentum.
At a Glance
- Deep native integration with Jira makes it the de facto documentation tool for teams already using Atlassian — Jira issues embed seamlessly in pages
- Extensive template library with 100+ templates for PRDs, meeting notes, retrospectives, decision logs, and more — accelerates team onboarding
- Real-time collaborative editing with inline comments, @mentions, and page watching enables asynchronous team communication at scale
- Single platform covering the entire DevSecOps lifecycle — source code, CI/CD, security scanning, monitoring, and project management in one tool, eliminating toolchain complexity
- Best-in-class CI/CD with Auto DevOps, merge trains, multi-project pipelines, and native Kubernetes integration for seamless deployment workflows
- Strong self-managed option with full feature parity — ideal for enterprises with strict data sovereignty, air-gapped environments, or compliance requirements
You gain with GitLab
- +roadmapping
- +sprint planning
- +backlog management
- +Kanban boards
You leave behind
- −mobile app
Migration Steps
Audit and export your current workspace
Before touching GitLab, document what lives in Confluence: projects and tasks, custom fields, automations, integrations, and team permissions. Export a full CSV backup — most tools support this from Settings → Export. Pay particular attention to any workflow automations that your team relies on daily.
Set up your GitLab workspace
Create your GitLab workspace and replicate your project structure using epics, stories, and sprints. GitLab starts at $29/user/mo/user/mo with a free tier available — budget $22.95/user/mo more per user. Run with a single pilot team before migrating everyone.
Map your workflow equivalents
Find the closest GitLab equivalent for each Confluence feature your team relies on. projects and tasks in Confluence maps to epics, stories, and sprints in GitLab. GitLab supports custom fields — recreate your Confluence field schema here first. Prioritise the critical path: task creation, status tracking, and assignment.
Import your data
GitLab supports CSV import for tasks and projects and has 20+ native integrations. After importing, rebuild your key automations — GitLab's automation engine can replicate most rules you had in Confluence. Start with your most active project rather than importing everything at once.
Onboard your team
Run a 30-minute walkthrough covering the daily workflow: how to create epics, stories, and sprints, update status, and find your board. GitLab has a steeper learning curve. Budget 2–3 weeks for full adoption and schedule follow-up sessions after week one.
Run Confluence in parallel for two weeks
Keep Confluence read-only while your team works primarily in GitLab. This reduces risk and lets people reference historical context — old decisions, archived tickets, past sprint data — without slowing the migration. After two weeks with no new work going into Confluence, archive the workspace and make GitLab the official home.
Ready to switch?
Read the full GitLab review for pricing, integrations, and team fit details.