Every modern development team uses [continuous integration](https://www.deployhq.com/blog/what-is-ci-cd) — automated builds and tests that run on every push. But CI is only half the story. The other half is continuous deployment: getting your tested code onto your servers reliably. This guide compares the three most popular CI platforms — [GitHub Actions](https://www.deployhq.com/compare/deployhq-vs-github-actions), GitLab CI/CD, and Bitbucket Pipelines — and explains how they complement a dedicated deployment tool like [DeployHQ](https://www.deployhq.com/features). New to the concepts? Start with our [complete guide to CI/CD pipelines](https://www.deployhq.com/blog/ci-cd-pipelines-complete-guide).

## Quick Comparison

| Feature | GitHub Actions | GitLab CI/CD | Bitbucket Pipelines |
| --- | --- | --- | --- |
| **Config file** | `.github/workflows/*.yml` | `.gitlab-ci.yml` | `bitbucket-pipelines.yml` |
| **Runners** | GitHub-hosted (free tier) + self-hosted | GitLab.com shared + self-hosted | Atlassian cloud + self-hosted |
| **Free tier** | 2,000 min/month (public repos unlimited) | 400 min/month | 50 min/month |
| **Marketplace** | 20,000+ community actions | Templates + CI/CD components | Pipes (Atlassian marketplace) |
| **Container support** | Docker, any image | Docker-native (every job runs in a container) | Docker-native |
| **Matrix builds** | Native (`strategy.matrix`) | `parallel: matrix` | Manual (multiple steps) |
| **Built-in registry** | GitHub Packages | Container Registry, Package Registry | None (use external) |
| **Ecosystem** | GitHub (Microsoft) | GitLab (standalone) | Atlassian (Jira, Confluence) |

## GitHub Actions

GitHub Actions uses workflow files in `.github/workflows/`. Each workflow is triggered by events (push, pull request, schedule, manual dispatch) and runs jobs on GitHub-hosted or self-hosted runners.

### Strengths

- **Massive marketplace** : 20,000+ pre-built actions for almost anything
- **Matrix builds** : Test across multiple OS/language/version combinations in parallel
- **Tight GitHub integration** : Status checks, deployments, releases, issues — all connected
- **Generous free tier** : Unlimited minutes for public repositories

### Configuration Example

Build and test a Node.js application:

```
name: CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest

    strategy:
      matrix:
        node-version: [18, 20, 22]

    steps:
      - uses: actions/checkout@v4

      - name: Use Node.js ${{ matrix.node-version }}
        uses: actions/setup-node@v4
        with:
          node-version: ${{ matrix.node-version }}
          cache: 'npm'

      - run: npm ci
      - run: npm test
      - run: npm run build
```

### When to Use GitHub Actions

- Your code is already on GitHub
- You need a large marketplace of pre-built integrations
- You want matrix builds across multiple environments
- Public open-source projects (unlimited free minutes)

## GitLab CI/CD

GitLab CI/CD is built into the GitLab platform. Every job runs in a Docker container by default, and the configuration lives in a single `.gitlab-ci.yml` file at the repository root.

### Strengths

- **All-in-one platform** : CI/CD, container registry, package registry, security scanning — built in
- **Docker-native** : Every job runs in a container, making environments reproducible
- **Auto DevOps** : Automatic pipeline generation for common frameworks
- **Self-hosted option** : Run GitLab and runners on your own infrastructure for full control

### Configuration Example

Build and test a Node.js application:

```
stages:
  - test
  - build

default:
  image: node:20-alpine
  cache:
    paths:
      - node_modules/

test:
  stage: test
  script:
    - npm ci
    - npm test
  coverage: '/Statements\s*:\s*(\d+\.?\d*)%/'

build:
  stage: build
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 week
  only:
    - main
```

### When to Use GitLab CI/CD

- You're already using GitLab for version control
- You want CI, container registry, and security scanning in one platform
- You need self-hosted runners for compliance or performance
- Auto DevOps appeals to your team for rapid setup

## Bitbucket Pipelines

Bitbucket Pipelines is Atlassian's CI/CD service, tightly integrated with Jira and Confluence. Every step runs in a Docker container, and configuration lives in `bitbucket-pipelines.yml`.

### Strengths

- **Atlassian ecosystem** : Deep integration with Jira (auto-link commits to issues), Confluence, and Trello
- **Pipes** : Pre-built integrations for common tasks (deploy to AWS, Slack notifications)
- **Simple pricing** : Build minutes included with Bitbucket plans
- **Docker-native** : Every step runs in a container

### Configuration Example

Build and test a Node.js application:

```
image: node:20

definitions:
  caches:
    npm: $HOME/.npm

pipelines:
  default:
    - step:
        name: Test
        caches:
          - npm
        script:
          - npm ci
          - npm test

  branches:
    main:
      - step:
          name: Build
          caches:
            - npm
          script:
            - npm ci
            - npm run build
          artifacts:
            - dist/**
```

### When to Use Bitbucket Pipelines

- Your team uses Jira for project management and wants tight integration
- You're in the Atlassian ecosystem (Confluence, Trello)
- You need simple CI without a lot of configuration complexity
- Your repository is already on Bitbucket

## CI vs CD: The Critical Distinction

Here's where teams often get confused: these three platforms are excellent at **continuous integration** (building and testing code), but they're not specialized deployment tools. They _can_ deploy, but deployment is not their primary focus. If you're weighing the wider field, our roundup of the [top CI/CD tools compared with pricing](https://www.deployhq.com/blog/best-ci-cd-software-top-10-tools-to-know-in-2025) covers ten platforms side by side, and teams moving off self-managed pipelines often weigh a [dedicated deployment tool against Jenkins](https://www.deployhq.com/blog/deployhq-vs-jenkins-choosing-the-right-deployment-tool-for-you).

```
flowchart LR
  A[Push code] --> B[CI Platform]
  B --> C{Tests pass?}
  C -->|Yes| D[DeployHQ]
  C -->|No| E[Fix and retry]
  D --> F[Deploy to server]
```

A dedicated deployment tool like [DeployHQ](https://www.deployhq.com) handles the things CI platforms treat as afterthoughts:

| Capability | CI Platforms | DeployHQ |
| --- | --- | --- |
| **Build & test** | Primary focus | Build pipelines available |
| **Multiple deploy protocols** | Usually SSH only | SFTP, FTP, S3, DigitalOcean, and more |
| **Deployment previews** | Limited | Visual diff of what will change |
| **Rollbacks** | Manual (redeploy old commit) | One-click rollback |
| **Deploy notifications** | Webhook setup required | Built-in (Slack, email, webhook) |
| **Permission control** | Repo-level | Per-project deploy permissions |

The ideal setup: let your CI platform build and test, then let [DeployHQ handle deployment](https://www.deployhq.com/features/build-pipelines).

## Connecting CI to DeployHQ

All three platforms can trigger a [DeployHQ](https://www.deployhq.com) deployment after tests pass:

### GitHub Actions → DeployHQ

```
- name: Trigger deployment
  if: github.ref == 'refs/heads/main' && success()
  run: |
    curl -X POST "${{ secrets.DEPLOYHQ_WEBHOOK_URL }}"
```

### GitLab CI → DeployHQ

```
deploy:
  stage: deploy
  script:
    - curl -X POST "$DEPLOYHQ_WEBHOOK_URL"
  only:
    - main
  when: on_success
```

### Bitbucket Pipelines → DeployHQ

```
- step:
    name: Deploy
    script:
      - curl -X POST "$DEPLOYHQ_WEBHOOK_URL"
    trigger: manual
```

This pattern gives you the best of both worlds: your CI platform's testing capabilities combined with DeployHQ's deployment features, including support for deploying from [GitHub](https://www.deployhq.com/deploy-from-github) and [GitLab](https://www.deployhq.com/deploy-from-gitlab) repositories.

## FAQ

**Can I use GitHub Actions for deployment instead of a separate tool?** You can, but Actions treats deployment as a generic shell script. You lose visual deploy diffs, one-click rollbacks, protocol flexibility (SFTP, FTP, S3), and granular deploy permissions. For simple deployments, Actions works. For anything more, a dedicated tool saves time.

**Which CI platform is fastest?** Speed depends more on your configuration (caching, parallelization, runner specs) than the platform itself. All three support caching and parallel jobs. GitLab and Bitbucket run every job in Docker by default, which adds container startup time but improves reproducibility.

**Can I migrate between CI platforms easily?** The YAML syntax differs between platforms, but the concepts are the same (stages, jobs, steps, caching, artifacts). Migration is mostly a syntax translation exercise. The hardest part is usually recreating marketplace actions/pipes as shell scripts.

**Which is best for monorepos?** GitHub Actions has good monorepo support with path filters. GitLab CI supports `rules:changes` for path-based triggering. Bitbucket Pipelines supports `condition: changesets` for similar behavior.

**Do I need a CI platform if I'm using [DeployHQ](https://www.deployhq.com)?**[DeployHQ](https://www.deployhq.com) includes [build pipelines](https://www.deployhq.com/blog/what-is-a-build-pipeline) that can run build commands (npm install, npm build, etc.) before deployment. For simple projects, this may be enough. For projects that need matrix testing, parallel test suites, or complex CI workflows, use a dedicated CI platform alongside [DeployHQ](https://www.deployhq.com).

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CI and CD are complementary, not competing. Let your CI platform do what it does best — build and test — and let a deployment tool handle the rest.

**[Try](https://www.deployhq.com/signup)[DeployHQ](https://www.deployhq.com) free** — connect your repository from GitHub, GitLab, or Bitbucket and deploy on every passing build. See [pricing](https://www.deployhq.com/pricing) for team plans.

* * *

Questions? Reach out at [support@deployhq.com](mailto:support@deployhq.com) or [@deployhq](https://x.com/deployhq).