Bitbucket vs GitLab

Bitbucket Cloud is a recurring subscription, so its cost is the seat count multiplied by the plan rate, plus any paid build minutes and runner capacity your workspace consumes each month. Check the current seat rates and minute allowances on your Atlassian order form, because these change and vary by plan. Growth in headcount and in pipeline usage are the two main drivers. Ask Atlassian to show the seat count, the included minutes, the overage rate and any add-on runner fees in writing, and confirm how inactive or contractor accounts are billed.

No. A Data Center subscription or a Hybrid License renewal recurs on the contract term, and the amount depends on user tier, the number of instances you run and any support level you buy. Atlassian's journey-to-cloud material says existing customers gain a Hybrid License covering Data Center and Cloud, so ask whether the renewal price changes when you move workloads. Confirm the term, the renewal uplift and what happens to your licence if you stop renewing, and get the answer in the contract rather than from a sales summary.

GitLab Free costs 0 US dollars, and GitLab Premium costs 29 US dollars per user per month billed annually, according to GitLab's pricing page, which states that all three tiers are available for self-managed installations. Ultimate is custom priced. Your subscription is one-time per year in billing terms but recurs annually, and it is sized by billable users. Ask GitLab which users count as billable, how seat true-ups work mid-term, and what support tier is included at each level.

These are infrastructure costs you pay to your cloud provider or hardware vendor, and they recur monthly or yearly. GitLab's reference architectures scale from 1,000 users to 50,000 users, and the docs generally recommend a high availability strategy for 3,000 or more users, which adds nodes for Gitaly Cluster, PostgreSQL, Redis and Consul. Storage grows with repository history and LFS objects, and backups multiply that footprint. Ask your team or DeployOpen to size the reference architecture against your user count and retention policy, and to list each node, disk and backup target separately.

Upgrades are recurring work. GitLab ships a major release yearly, a minor release each month on the third Thursday, and patch releases twice a month, and it requires passing through upgrade stops such as x.2, x.5, x.8 and x.11. Each upgrade consumes staff time or retainer hours, and skipping stops increases the risk and the cost of recovery. Support cost depends on whether you buy vendor support, use a partner retainer or rely on internal staff. Ask for the upgrade schedule, the hours assumed for each cycle and the response times in the written scope.

Staff time is the largest and least visible component, and it is recurring. It covers installation, high availability, backup testing, restore drills, security hardening, monitoring, upgrades and user support. Effort rises with user count, high availability requirements, air-gapped operation and the number of integrations with CI runners and Jira. Effort falls when you standardize on one installation method, such as the Linux package, and automate upgrades and backups. Ask for an estimate of hours per month, split by role, and state which tasks you expect your own engineers to perform.

Migration costs are one-time and include planning, the import of repositories, pull requests and issues, re-creating branch protection and permissions, rewriting CI configuration from Pipelines to GitLab CI/CD, and cutover testing. GitLab can import projects from Bitbucket Cloud and Bitbucket Server, according to its import documentation, but imported data still needs validation. Costs rise with repository count, pipeline complexity and the number of Jira links. Ask any provider for a fixed-scope written plan that lists each data type, the validation method and the rollback path before work starts.

Ask for a quote that separates each cost component: GitLab subscription by tier and billable user count, infrastructure for each environment, backup and storage capacity, upgrade and patch effort, support level and staff or partner hours. Require the assumed user count, reference architecture, high availability design, air-gapped requirements and retention period to be written down. Ask which costs are one-time and which recur, what triggers a price change and how each option compares with your current Bitbucket renewal over the same term.

The total depends on components you pay for separately: GitLab licensing or none at all for the Free tier, servers or cloud instances, storage, backups, staff time, and any outside help. GitLab's pricing page lists Free at 0 US dollars, Premium at 29 US dollars per user per month billed annually, and Ultimate as custom priced, and all three tiers are available for self-managed installations. Your Bitbucket costs to compare against are seats, build minutes, or a Data Center or Hybrid License renewal. Ask for a written quote that separates one-time work (migration, configuration, testing) from recurring work (upgrades, backups, monitoring, support).

Duration depends on repository count and size, how much pull request and wiki history you keep, how many integrations need rewiring, and how much of the environment must be built first. No fixed timeline applies to every team, so ask for a schedule tied to your inventory. Confirm with GitLab which import paths fit your Bitbucket edition, since the documented importers cover Bitbucket Cloud and Bitbucket Server. Plan a parallel-run period so developers can verify branches, permissions and pipelines before Bitbucket is switched off.

You need named owners for identity and access, a list of repositories with their branch rules and protected branches, an inventory of Pipelines variables and secrets, and someone who can approve the target hosting design. Repository data can be cloned, but pipeline variables cannot be read back from Bitbucket, so they must be re-entered from the source of record. Ask your implementation partner to document the inputs in writing before work starts, and confirm the access you will grant to the source and target systems.

A team with Git administration experience, a Linux operations background and a clear migration plan can often do it internally, especially for a small number of repositories. The harder parts are sizing the GitLab installation, running backups and upgrades on schedule, and rebuilding CI runners and integrations. GitLab's reference architectures scale from 1,000 users to 50,000 users, and high availability is generally recommended from 3,000 users, so larger organizations should review those documents before deciding. A fixed-scope engagement with DeployOpen can cover planning, implementation, hardening and documentation while your team keeps ownership.

Jira links depend on how issues and branch naming are used today, and GitLab does not replace Jira for teams that keep their issue tracking there. Confirm that GitLab's Jira integration covers the workflow you need, including issue linking from commits and merge requests and status updates. Check whether your Jira instance is Cloud or Data Center, because Atlassian's journey-to-cloud guidance and the Bitbucket Hybrid License affect that choice. Test each link type with real projects before cutover, and document any manual steps.

Git history moves with any clone or mirror, but pull requests, reviews, comments and wikis need a platform importer. GitLab's import documentation lists Bitbucket Cloud and Bitbucket Server as supported sources, but the mapping of each object type varies by importer and version. Run a test import on a sample project, compare pull request counts, comment threads and wiki pages against Bitbucket, and record what did not map. Keep a read-only Bitbucket archive for the period needed by audit or legal retention.

You schedule them as recurring operations. GitLab ships a major release yearly, a minor release on the third Thursday of each month, and patch releases twice a month, and it maintains the current and two previous minor lines. Upgrades must pass through required upgrade stops, which since GitLab 17.5 fall at versions x.2, x.5, x.8 and x.11, so plan the path with the upgrade paths documentation. Backups should be tested by restoring them to a separate environment, following GitLab's backup and restore guidance. Ask any partner for the written runbook, the rollback plan and the test schedule.

GitLab documents running self-managed instances in offline, air-gapped environments, with separate guidance for its security scanners and for GitLab Duo Self-Hosted. Confirm with your compliance team which scanners and features you need offline, because each one has its own setup steps. Compliance readiness work, such as evidence collection and control mapping, can be prepared with DeployOpen, but audit reports and certifications are issued only by independent auditors or certification bodies.