StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Jib vs Skaffold

Jib vs Skaffold

OverviewComparisonAlternatives

Overview

Skaffold
Skaffold
Stacks86
Followers186
Votes0
Jib
Jib
Stacks17
Followers43
Votes2
GitHub Stars14.1K
Forks1.5K

Jib vs Skaffold: What are the differences?

Introduction

Jib and Skaffold are both tools that facilitate the deployment of applications in containerized environments. However, they differ in several key aspects. This article will highlight six key differences between Jib and Skaffold.

  1. Build process: Jib is primarily focused on simplifying the container image build process. It achieves this by directly building optimized container images without the need for a Docker daemon. On the other hand, Skaffold focuses on automating the entire development workflow, which includes building and deploying applications to Kubernetes.

  2. Configuration: Jib uses a declarative configuration approach where the container image build settings are defined in the build configuration file, such as a pom.xml file for Maven projects or a build.gradle file for Gradle projects. Skaffold, on the other hand, uses a configuration file, usually skaffold.yaml, where developers define the specific build and deployment steps.

  3. Supported Build Tools: Jib is build tool-agnostic and can be seamlessly integrated with different build tools like Maven and Gradle. It provides plugins for these build tools to simplify the container image build process. On the contrary, Skaffold is more tightly integrated with Kubernetes and is specifically designed to enhance the development workflow for Kubernetes projects.

  4. Live Reloading: Skaffold offers a built-in live reloading feature, allowing developers to see immediate changes in their applications without having to manually rebuild and redeploy the entire container image. Jib, on the other hand, does not have an in-built live reloading feature, as it focuses more on optimizing the container image build process.

  5. Deployment Strategies: Skaffold supports different deployment strategies, such as recreating the container, rolling updates, and canary deployments, allowing developers to choose the most suitable strategy for their applications. Jib, on the other hand, does not provide built-in deployment strategies but rather focuses on building container images that can be deployed using various deployment tools or platforms.

  6. Ease of Use: Given its singular focus on the container image build process, Jib offers a simpler and more streamlined user experience. It abstracts away the complexities of working with containers and simplifies the build process, making it easier for developers to integrate into their existing build pipelines. Skaffold, on the contrary, provides a more comprehensive development workflow solution with various features, which might require more configuration and setup.

In summary, Jib primarily focuses on simplifying the container image build process while Skaffold aims to automate the development workflow for Kubernetes projects, providing features like live reloading and various deployment strategies. Jib is more build tool-agnostic and provides a simpler user experience, while Skaffold offers a more comprehensive solution for Kubernetes project development.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Skaffold
Skaffold
Jib
Jib

Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.

Jib builds Docker and OCI images for your Java applications and is available as plugins for Maven and Gradle.

No server-side component. No overhead to your cluster.;Detect changes in your source code and automatically build/push/deploy.;Image tag management. Stop worrying about updating the image tags in Kubernetes manifests to push out changes during development.;Supports existing tooling and workflows. Build and deploy APIs make each implementation composable to support many different workflows.;Support for multiple application components. Build and deploy only the pieces of your stack that have changed.;Deploy regularly when saving files or run one off deployments using the same configuration
Fast - Deploy your changes fast. Jib separates your application into multiple layers, splitting dependencies from classes. Now you don’t have to wait for Docker to rebuild your entire Java application - just deploy the layers that changed.; Reproducible - Rebuilding your container image with the same contents always generates the same image. Never trigger an unnecessary update again.; Daemonless - Reduce your CLI dependencies. Build your Docker image from within Maven or Gradle and push to any registry of your choice. No more writing Dockerfiles and calling docker build/push.
Statistics
GitHub Stars
-
GitHub Stars
14.1K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
86
Stacks
17
Followers
186
Followers
43
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    No docker files to maintain
  • 0
    Build is faster than Docker
  • 0
    Native
  • 0
    Coder friendly with Maven and Gradle plugins
Integrations
Kubernetes
Kubernetes
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
Apache Maven
Apache Maven
Java
Java
Gradle
Gradle

What are some alternatives to Skaffold, Jib?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana