Comparison
GitHub Actions vs GitLab CI vs Jenkins
A practical comparison for engineering teams choosing a CI/CD platform.
Comparison table
| Factor | GitHub Actions | GitLab CI | Jenkins |
|---|---|---|---|
| Hosting | SaaS (GitHub.com) or GitHub Enterprise | SaaS (GitLab.com) or self-managed | Self-managed only |
| Pipeline definition | YAML (.github/workflows/) | YAML (.gitlab-ci.yml) | Groovy (Jenkinsfile) |
| Free tier | Monthly minutes allowance on the Free plan; check current pricing, including any self-hosted runner charges | Monthly compute minutes allowance on the Free plan; check current limits | No licence fee (you pay for infrastructure and upkeep) |
| Marketplace / ecosystem | Large Marketplace of reusable actions | Growing CI/CD component catalog | Mature plugin ecosystem |
| Parallelism model | Jobs in parallel; matrix strategy | DAG (needs keyword) for fine-grained parallelism | Parallel stages; agent matrix |
| Cloud credential security | OIDC federation (no secrets needed) | OIDC federation (GitLab 15.7+) | Vault plugin; OIDC support depends on the plugins you use |
| Review Apps / preview envs | Via Environments (manual setup) | Native Review Apps | Custom scripting |
| Operational overhead | Low (SaaS); medium with self-hosted runners | Low (SaaS); high (self-managed GitLab) | High, you own the full stack |
When to choose each
Choose GitHub Actions when:
- Your code is already on GitHub (zero context switching)
- You want a large ecosystem of pre-built integrations
- You need OIDC federation with AWS, Azure, or GCP out of the box
- Your team is comfortable with YAML and does not have deep Groovy expertise
- You are migrating from Jenkins and want a clear upgrade path
Choose GitLab CI when:
- You want an all-in-one DevOps platform (SCM, CI/CD, security scanning, planning)
- Your team needs Review Apps for per-MR preview environments
- You need DAG-based parallelism for complex pipeline graphs
- You are on-premises or in an air-gapped environment (self-managed GitLab)
- You need built-in SAST, DAST, and dependency scanning without extra tools
Choose Jenkins when:
- You have hundreds of existing pipelines and deep Groovy investment worth preserving
- You need specific plugins that have no equivalent in GitHub Actions or GitLab CI
- You operate in a tightly controlled environment with no SaaS access
- You have Jenkins expertise in-house and the operational overhead is acceptable
For new projects, Jenkins is rarely the right choice. Its operational overhead and security maintenance burden are significant.
Which CI/CD platform fits which kind of team?
The platform that fits best is usually the one that sits next to your source code and your identity provider, because that removes the most integration work. A team of ten engineers with repositories on GitHub rarely gains anything by adding a second system, while a regulated organisation that must keep everything inside its own network may have no choice but a self-managed option.
Team size matters less for the tool itself than for who looks after it. GitHub Actions and the SaaS version of GitLab CI need almost no platform effort, so a small team can run them with no dedicated owner. Jenkins and self-managed GitLab need someone who owns upgrades, backups, agent images and access control, which only makes sense once you have a platform team or a managed service to do it.
Your existing stack is the second filter. If you already use GitLab for issues, merge requests and container registry, GitLab CI is the natural continuation. If you have years of Groovy shared libraries and plugin configuration, Jenkins may still be the cheapest option in the short term, even if it is not the best choice for a new project.
| Situation | Usually fits best | Why |
|---|---|---|
| Small team, code on GitHub | GitHub Actions | No extra system, no extra identity, low operating effort |
| Want SCM, CI, security scanning and planning in one product | GitLab CI | One data model and one permission model across the lifecycle |
| Large estate of existing Jenkinsfiles and shared libraries | Jenkins, with a planned exit | Rewriting everything at once is risky; migrate in waves |
| Air-gapped or strictly on-premises | Self-managed GitLab, GitHub Enterprise Server, or Jenkins | No dependence on a SaaS control plane |
| Mixed Git hosts across acquired companies | Jenkins or a neutral runner layer first | Avoids forcing a single Git host decision on day one |
How do compliance and the operating model change the answer?
Compliance rarely forbids a tool outright, but it changes what you must prove. Auditors for frameworks such as SOC 2 or ISO 27001 typically want evidence of who approved a change, that the pipeline that built it was controlled, and that credentials were not exposed. All three platforms can produce that evidence, but they differ in how much you must assemble yourself.
With Jenkins you own the whole control surface: controller hardening, plugin vetting, credential storage, audit logging and agent isolation. That is flexible but it means the evidence is only as good as your own discipline. With GitHub Actions and GitLab, branch protection, required reviews, environment approvals and audit logs are product features, so the evidence is easier to collect and harder to bypass by accident.
The operating model also decides where build code runs. Hosted runners are convenient, but jobs that need private network access, specific hardware or data residency guarantees usually run on self-hosted runners inside your own cloud account. Whichever platform you pick, we recommend that runners, secrets and artefacts live in your accounts and repositories so that you are never locked to a supplier for access to your own delivery pipeline.
- Prefer short-lived cloud credentials through OIDC federation over stored access keys, on any platform that supports it.
- Isolate runners that build untrusted code (forks, external contributions) from runners that can deploy to production.
- Decide early who may edit pipeline definitions, and require review for those files just as for application code.
How do the cost and licensing models differ?
The three products charge for different things, so a direct price comparison is misleading. GitHub Actions and GitLab CI are consumption and seat based on their hosted offerings: you pay per user for the plan, and for compute time beyond an included allowance, with larger or specialised hosted machines costing more. Jenkins itself is open source with no licence fee, but you pay for the servers, storage, backup, engineering time and the security work of keeping it patched.
Two details deserve attention. First, running your own runners does not make a hosted platform free forever. GitHub has announced a per-minute platform charge for self-hosted runner usage in private repositories, so check the current GitHub pricing documentation before assuming self-hosting removes the compute bill. Second, the cost of Jenkins is mostly people, and that cost is easy to underestimate because it appears as a fraction of several engineers' time rather than as an invoice.
A fair comparison therefore adds up four things over a few years: seat or licence charges, compute for builds, the engineering time to operate the system, and the cost of delays when pipelines are slow or flaky. Build caching, right-sized runners and sensible concurrency limits often change the total more than the choice of tool.
What should you consider before switching platforms?
Switching is mostly a translation problem, not a copy problem. Pipeline syntax is the easy part. The harder parts are the things pipelines depend on: credentials, plugins with no direct equivalent, shared libraries, artefact repositories, notification hooks, deployment approvals and the tribal knowledge about which jobs are fragile.
Tooling can help with the first pass. GitHub offers an Actions Importer that can audit and convert pipelines from several CI systems, including Jenkins and GitLab CI. Treat its output as a draft for an engineer to review, not as a finished migration, because plugin behaviour and Groovy logic rarely map one to one.
We usually suggest moving in waves: first an inventory that classifies pipelines by value and complexity, then a handful of representative pipelines as a pilot, then the remainder in batches while the old system keeps running in parallel. Retire the old system only once nothing deploys through it, and keep a rollback path for the first few releases on the new platform.
What are the common pitfalls with each platform?
On GitHub Actions the typical problems are third-party actions referenced by a moving tag, overly broad token permissions, and workflow sprawl where every repository carries its own slightly different copy. Pinning actions to a full commit, setting minimal permissions and using reusable workflows deal with most of this.
On GitLab CI the common issues are runaway pipeline YAML without shared templates, runners that are shared between trusted and untrusted projects, and assuming the built-in security scanning is configured simply because the licence includes it. Scanners still need tuning to your codebase and a process for triaging findings.
On Jenkins the recurring problems are plugin drift, a single controller that becomes a bottleneck and a single point of failure, jobs configured by hand in the user interface instead of in code, and credentials with wide scope. Configuration as code, a small curated plugin set and ephemeral build agents reduce the risk considerably.
How would a neutral consultant make the decision?
We start from constraints, not features. We ask where the code lives, where builds must run, which compliance evidence is required, how many pipelines exist today and who will own the platform in two years. The answer to those five questions removes most options before any feature comparison begins.
Next we run a time-boxed pilot on one or two real pipelines, including the awkward ones, and measure what matters to the team: time to first green build, how readable the pipeline definition is, how secrets and cloud access are handled, and how much operating effort remains. The outcome is a written recommendation with a fixed scope, delivered by a named senior engineer, with the resulting pipelines living in your own repositories and accounts.
If the honest answer is to stay where you are, we will say so. A well-run Jenkins estate with a clear retirement plan is a better position than a rushed migration that leaves two half-working systems.
Frequently asked questions
Is Jenkins obsolete?
Can we use GitHub Actions with code hosted somewhere else?
Does self-hosting runners remove the cost of the hosted platform?
How long does a migration from Jenkins usually take?
Which platform is best for security scanning?
Need help choosing or migrating?
If you are currently on Jenkins and considering a migration, or trying to decide between GitHub Actions and GitLab CI, we can help. We can weigh the options against your specific situation and give you an honest recommendation.