Git Fetch vs Pull: Explained with Diagrams

Chandra SekharChandra Sekhar
2 min read

🔹 Git Fetch vs Git Pull

What is Git Fetch?

git fetch gets the latest commits, branches, and tags from the remote without merging them into your current branch.

It updates your remote-tracking branches (like origin/main) but leaves your local branch unchanged.

👉 After fetch, you can review and then decide:

  • git merge origin/main

  • git rebase origin/main


Git Fetch Workflow

flowchart LR
    subgraph FETCH [git fetch Workflow]
      F1([Run: git fetch]) --> F2[Contact remote repo]
      F2 --> F3[Download latest commits and branches]
      F3 --> F4[Update remote-tracking refs: origin/main]
      F4 --> F5[Local branch stays the same]
      F5 --> F6[You decide: merge or rebase manually]
    end

👉 Summary: Fetch is safe. It just downloads updates and lets you decide what to do next.


What is Git Pull?

git pull is fetch + merge (or rebase).
It gets the latest changes and immediately updates your current branch.

git pull origin main

By default, it merges. If you configure, it can rebase (git pull --rebase).


Git Pull Workflow

flowchart LR
    subgraph PULL [git pull Workflow]
      P1([Run: git pull]) --> P2[Contact remote repo]
      P2 --> P3[Download latest commits and branches]
      P3 --> P4[Update remote-tracking refs: origin/main]
      P4 --> P5[Auto-merge into current branch - merge or rebase]
    end

👉 Summary: Pull is faster but riskier. It immediately changes your branch, sometimes causing conflicts.


Fetch vs Pull: Quick Table

Featuregit fetchgit pull
Gets changes from remote
Updates remote-tracking branch
Updates your current branch
Lets you review first

🎯 Final Takeaways

  • Fetch → Download updates (safe, no changes yet).

  • Pull → Download + update your branch right away.

💡 Tip: Many developers prefer git fetch + git rebase for a cleaner history.
Next time you see “Fork and Clone” or “Fetch vs Pull,” you’ll know exactly what’s going on 🚀

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Written by

Chandra Sekhar
Chandra Sekhar

I’m a DevOps and Cloud Engineer with 3+ years of hands-on experience designing and managing infrastructure on AWS. Over my career, I’ve worked on automating deployments, building CI/CD pipelines, and optimizing cloud resources for scalability and cost-efficiency. My daily toolkit includes AWS (EC2, S3, RDS, VPC, IAM, Lambda), Terraform, Docker, Kubernetes, and Jenkins/GitHub Actions. I enjoy breaking down complex infra problems into simple workflows and sharing those solutions with the community. On Hashnode, I write about Git best practices, AWS architecture patterns, Infrastructure as Code, CI/CD pipelines, and real-world DevOps case studies. My goal is to simplify cloud and DevOps concepts for developers and engineers who are just starting out or scaling their systems.