Pull Request vs Merge Request: A Clear Comparison and Overview

A pull request is a mechanism used in distributed version control platforms that allows developers to propose changes from one branch to another. When a developer completes work on a feature or bug fix, they open a pull request to signal that their code is ready for review. This process invites team members to examine the changes, provide feedback, and approve or reject the modifications before they become part of the main codebase.

A merge request serves the same fundamental purpose but is the terminology used by GitLab and a few other platforms. The name itself is arguably more descriptive because it directly communicates the end goal: merging code from one branch into another. Both terms refer to the same collaborative workflow, but the difference in naming reflects the distinct ecosystems in which they originated and the communities that adopted them over time.

Origins of Both Terms

The term pull request originated with GitHub, which launched in 2008 and quickly became the dominant platform for open-source collaboration. The name comes from the idea that a developer is requesting the repository maintainer to pull their changes into the project. This framing positions the request from the perspective of the contributor asking permission for their work to be incorporated into the shared codebase.

GitLab introduced the term merge request when it launched in 2011. The GitLab team felt that merge request was a more intuitive name because it focuses on the action being performed rather than the mechanism. Over time, both terms have become deeply embedded in developer culture, and professionals frequently encounter both depending on which platform their organization or open-source project chooses to use.

GitHub Platform Workflow

GitHub uses pull requests as the cornerstone of its collaborative development process. When a developer pushes a feature branch to a GitHub repository, they can open a pull request directly from the interface. The pull request page displays a diff of the changes, a comment thread for discussion, and a checklist of required reviews or status checks that must be satisfied before merging is permitted.

GitHub pull requests integrate tightly with GitHub Actions, allowing automated pipelines to run tests, lint code, and perform security scans the moment a pull request is opened or updated. Reviewers can leave inline comments on specific lines of code, suggest direct edits, and formally approve or request changes. The entire conversation around a change is preserved in the pull request thread, creating a permanent record of why decisions were made.

GitLab Platform Workflow

GitLab merge requests operate in a conceptually identical way to GitHub pull requests but within the GitLab ecosystem. When a developer finishes work on a branch, they open a merge request, select a target branch, and describe the changes in a structured description field. GitLab provides built-in merge request templates that teams can configure to standardize what information must be provided whenever a merge request is submitted.

GitLab CI/CD pipelines are tightly connected to merge requests, and a merge request will display the status of every pipeline stage directly in its interface. GitLab also offers a feature called merge request approvals, where specific individuals or groups must approve before the code can be merged. This governance layer makes GitLab merge requests particularly appealing to enterprise teams that need structured oversight of code changes.

Code Review Process Compared

The code review process within a pull request on GitHub is highly visual and interactive. Reviewers can view changes side by side or in a unified diff format, and they can leave comments that are threaded and resolved independently. GitHub Copilot and other integrations can assist reviewers by summarizing what a pull request does, flagging potential issues, and suggesting improvements without requiring the reviewer to examine every line manually.

GitLab merge requests offer a similarly robust review interface, with the addition of features like code quality reports and security scanning results embedded directly in the merge request page. GitLab allows reviewers to see metrics about code complexity or test coverage changes right alongside the diff. Both platforms have invested heavily in making code review as efficient as possible, and the practical experience for a developer switching between them is quite similar despite the different terminology.

Branch Strategy Differences

Branch strategies play an important role in how pull requests and merge requests are used day to day. On GitHub, teams commonly use GitFlow or trunk-based development strategies, where feature branches are kept short-lived and pull requests are opened frequently to keep changes small and reviewable. The shorter the branch, the easier the review, and teams that practice continuous integration keep pull request sizes deliberately limited.

GitLab encourages a similar approach but provides additional tools specifically designed to support its recommended workflow, which it calls the GitLab Flow. This strategy combines feature branches with environment branches and release branches, using merge requests at each stage to control what code moves forward. Both approaches recognize that the quality of the branching strategy directly determines how useful and manageable pull requests or merge requests will be in practice.

Approval Requirements and Rules

Both GitHub and GitLab allow teams to configure required approvals before code can be merged. GitHub branch protection rules let administrators require a minimum number of reviewers, require specific teams or individuals to review sensitive parts of the codebase, and prevent merging until all automated checks pass. These rules apply at the repository level and are enforced automatically, removing the possibility of bypassing review accidentally.

GitLab provides a similar system through its approval rules feature, which is more granular in enterprise versions of the platform. Administrators can define rules that require different approvers based on which files are changed, ensuring that security-sensitive code always involves the security team and frontend changes involve the design team. This file-level approval targeting is one area where GitLab’s merge request system has historically offered more built-in flexibility than GitHub’s pull request system.

Automation and Pipeline Integration

Automation is a critical component of any modern pull request or merge request workflow. GitHub Actions allows teams to define workflow files that trigger automatically on pull request events such as opening, updating, or labeling a request. These workflows can run unit tests, integration tests, build Docker images, deploy preview environments, or publish coverage reports, all feeding their status back into the pull request before a human reviewer even opens the diff.

GitLab CI/CD operates on a similar principle, with pipeline configuration stored in a YAML file at the root of the repository. When a merge request is opened or updated, GitLab automatically runs the defined pipeline and surfaces the results within the merge request interface. GitLab also supports merge trains, a feature that allows multiple merge requests to be queued and tested together in the order they will be merged, reducing the chance of integration failures in high-velocity teams.

Conflict Resolution Approaches

Merge conflicts are an inevitable part of collaborative development, and both platforms provide tools to help resolve them. GitHub offers a web-based conflict editor that allows developers to resolve simple conflicts directly in the browser without needing to pull the branch locally. For more complex conflicts, developers must resolve them locally using their Git client and then push the resolved changes back to the branch, which automatically updates the pull request.

GitLab provides a similar web conflict editor for merge requests and has made investments in making the interface intuitive for developers who are not deeply familiar with Git internals. Both platforms clearly indicate when a merge request or pull request has conflicts and prevent merging until they are resolved. The underlying Git operations are identical regardless of platform, since both are ultimately calling the same Git commands behind the scenes.

Terminology in Different Teams

The terminology developers use often depends on where they first learned version control. Developers who started with GitHub instinctively say pull request, while those who started with GitLab or are working in enterprise environments where GitLab is standard tend to say merge request. In many organizations that use both platforms, the terms are used interchangeably in conversation even though they technically refer to different platform implementations of the same concept.

This cross-platform familiarity has led to a situation where the terms are practically synonymous in casual professional communication. Job postings, technical documentation, and onboarding guides frequently use both terms without distinction, assuming that experienced developers understand they refer to the same workflow. Teams working across multiple repositories or contributing to open-source projects on various platforms become fluent in both terms quickly through practical exposure.

Security and Compliance Features

Security and compliance requirements have pushed both platforms to add more governance features to their pull request and merge request systems. GitHub Advanced Security provides secret scanning, dependency scanning, and code scanning results that appear directly in pull requests, flagging potential vulnerabilities before they can be merged into the main branch. Organizations subject to regulatory requirements can use required status checks to enforce that security scans must pass before any merge is allowed.

GitLab’s Ultimate tier offers similar security scanning capabilities embedded directly in the merge request workflow, including static application security testing, dynamic application security testing, and container scanning. Compliance frameworks in GitLab allow organizations to define what steps must occur in every merge request pipeline, ensuring that no developer or administrator can bypass required security checks. Both platforms treat security as an integrated part of the code review process rather than a separate concern.

Performance at Enterprise Scale

At enterprise scale, the performance and management of pull requests and merge requests become important operational concerns. GitHub Enterprise Cloud and GitHub Enterprise Server are designed to handle thousands of repositories and hundreds of thousands of pull requests across large engineering organizations. GitHub provides administrative tools for managing permissions, audit logs of all pull request activity, and reporting capabilities that give engineering leaders visibility into code review health across teams.

GitLab Self-Managed and GitLab SaaS similarly scale to large organizations with extensive merge request volumes. GitLab’s parent namespace and subgroup structure allows enterprises to organize repositories hierarchically and apply merge request policies at different levels of the organizational tree. Both platforms have invested in database and infrastructure optimizations to ensure that pull request and merge request searches, filters, and dashboards remain responsive even in repositories with years of accumulated history.

Community and Open Source Use

Open-source communities have largely standardized on GitHub and therefore use pull requests as their primary contribution mechanism. The GitHub pull request workflow is how most open-source contributors first experience structured code review, and it has shaped expectations around how external contributions should be handled. Maintainers use pull request labels, milestones, and project boards to triage and prioritize incoming contributions from the community.

GitLab is popular for self-hosted open-source infrastructure and is itself an open-source project developed using its own merge request workflow. Some open-source projects that value self-hosting and data control choose GitLab specifically because it can be run on private infrastructure. For contributors to GitLab itself, submitting a merge request to the GitLab codebase is a common first experience, and the project maintains detailed documentation on how merge requests should be structured and what reviewers look for.

Switching Between Both Platforms

Developers who switch between GitHub and GitLab regularly find that the conceptual adjustment is minimal because the workflows are structurally identical. The main practical differences are in the user interface layout, the specific features available at each subscription tier, and the integration ecosystem that surrounds each platform. A developer proficient in one platform can typically become productive on the other within a single working day.

Organizations that migrate from one platform to the other must consider how to handle historical pull request or merge request data. Both platforms offer migration tools, but preserving the full comment history, review threads, and linked issue references from a large repository with years of activity is a complex operation. Teams planning migrations typically prioritize moving active repositories first while archiving the historical data from completed projects in a format they can reference if needed.

Choosing the Right Platform

Choosing between GitHub and GitLab ultimately comes down to organizational priorities, existing tooling, and the type of projects being managed. GitHub has a larger open-source community, broader third-party integration support, and a more familiar interface for developers who have worked in public repositories. Its pull request system benefits from years of iteration based on feedback from millions of developers across countless different team sizes and workflows.

GitLab offers a more integrated platform where CI/CD, security scanning, issue tracking, and merge requests are all built into a single application rather than assembled from separate tools. Organizations that want to reduce the number of third-party tools they manage often find GitLab’s all-in-one approach more operationally efficient. The merge request system in GitLab benefits from this integration, with pipeline results, security findings, and deployment status all visible in one place without requiring external service connections.

Conclusion

Pull requests and merge requests are functionally equivalent concepts that live in different platform ecosystems, and a deep knowledge of one transfers almost completely to the other. The distinction between the two terms is primarily one of branding and community convention rather than meaningful technical difference. GitHub chose the term pull request to describe the act of requesting a repository to pull in changes, while GitLab chose merge request to focus on the outcome of the action rather than the mechanism. Both decisions reflect the design philosophies of their respective platforms and the communities they serve.

What matters far more than which term a team uses is how well they implement the code review culture surrounding it. A pull request or merge request workflow is only as effective as the team discipline behind it, including how small branches are kept, how thoroughly reviewers engage with the changes, how quickly feedback is incorporated, and how consistently automated checks are enforced. Teams that invest in building strong review culture see pull requests and merge requests become powerful tools for improving code quality, sharing knowledge across the team, and catching problems before they reach production.

Both GitHub and GitLab continue to invest heavily in their respective implementations, adding features like AI-assisted code review, better conflict resolution tools, and more granular approval workflows with each release cycle. The gap between the two platforms in terms of raw features has narrowed significantly over the years, and teams on either platform today have access to a world-class code review experience. The choice between a pull request and a merge request workflow is less important than the commitment to using whichever system the team has access to with consistency, care, and genuine attention to code quality at every stage of the development process.