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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Google Cloud Container Builder vs Harbor

Google Cloud Container Builder vs Harbor

OverviewComparisonAlternatives

Overview

Google Cloud Container Builder
Google Cloud Container Builder
Stacks177
Followers198
Votes0
Harbor
Harbor
Stacks183
Followers185
Votes11
GitHub Stars26.8K
Forks5.0K

Google Cloud Container Builder vs Harbor: What are the differences?

  1. Key Difference 1: Purpose and Focus: Google Cloud Container Builder is primarily focused on providing a cloud-based solution for building and testing container images, along with the integration of other Google Cloud services. It offers managed build infrastructure and seamless integration with various container registries. On the other hand, Harbor is an open-source container registry that focuses on providing a secure and scalable environment to store, sign, and distribute container images. It offers features like vulnerability scanning, image replication, and role-based access control (RBAC), making it ideal for organizations requiring advanced security and compliance capabilities.

  2. Key Difference 2: Deployment Flexibility: Google Cloud Container Builder is tightly integrated with Google Cloud Platform (GCP) and is primarily meant for building and deploying containerized applications on GCP. It seamlessly integrates with other GCP services like Google Kubernetes Engine (GKE) for easy deployment. In contrast, Harbor is a platform-agnostic container registry that can be deployed on-premises or in a cloud environment, providing flexibility to organizations to choose their underlying infrastructure and deployment approach.

  3. Key Difference 3: Management and Maintenance: Google Cloud Container Builder is a fully managed service provided by Google, which means all the underlying infrastructure and maintenance tasks are handled by Google. Users can focus on their application development and let Google take care of the build environment. On the other hand, Harbor being an open-source project requires manual setup, configuration, and maintenance. Organizations need to allocate resources and manage the infrastructure to run Harbor, including updates, backups, and security patches.

  4. Key Difference 4: Extensibility and Customization: Google Cloud Container Builder provides a set of built-in builders and build steps that cover most common use cases. However, it also allows users to create custom builders and add custom build steps using custom build templates, providing flexibility and extensibility. In contrast, Harbor offers a pluggable architecture that allows users to extend its functionality by integrating with third-party services. Users can add custom authentication methods, implement custom replication policies, and integrate with external vulnerability scanners, making it highly customizable.

  5. Key Difference 5: User Interface and User Experience: Google Cloud Container Builder has a user-friendly web interface along with a Command Line Interface (CLI) that allows users to easily configure and manage builds. It provides real-time logs and notifications, making it convenient to track the build progress. On the other hand, Harbor also provides a web-based user interface for managing container images, projects, and users. It offers role-based access control, search functionality, and a comprehensive dashboard to monitor the overall health and status of the registry.

  6. Key Difference 6: Community and Support: Google Cloud Container Builder benefits from the extensive Google Cloud community and support, which ensures regular updates, bug fixes, and continuous improvement of the platform. Users can rely on Google's technical support for any issues or queries they face. On the other hand, Harbor being an open-source project, has a vibrant and growing community that actively contributes to its development and maintenance. Users can leverage community resources like forums, documentation, and community-contributed plugins for support and additional functionality.

In Summary, Google Cloud Container Builder is a cloud-native build service tightly integrated with Google Cloud Platform (GCP), while Harbor is an open-source container registry that focuses on security and scalability. Container Builder provides managed build infrastructure and easy integration with GCP services, while Harbor offers advanced security features and deployment flexibility.

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Detailed Comparison

Google Cloud Container Builder
Google Cloud Container Builder
Harbor
Harbor

Run your container image builds in a fast, consistent, and reliable environment on Google Cloud Platform. Build in any language and package your build artifacts into Docker containers for deployment.

Harbor is an open source cloud native registry that stores, signs, and scans container images for vulnerabilities. Harbor solves common challenges by delivering trust, compliance, performance, and interoperability. It fills a gap for organ

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Multi-tenant content signing and validation;Image replication between instances;Extensible API and graphical UI;Security and vulnerability analysis;Identity integration and role-based access control;Internationalization
Statistics
GitHub Stars
-
GitHub Stars
26.8K
GitHub Forks
-
GitHub Forks
5.0K
Stacks
177
Stacks
183
Followers
198
Followers
185
Votes
0
Votes
11
Pros & Cons
No community feedback yet
Pros
  • 4
    Good on-premises container registry
  • 1
    Support multiple authentication methods
  • 1
    Supports OIDC
  • 1
    Supports LDAP/Active Directory
  • 1
    Perfect for Teams and Organizations
Integrations
Bitbucket
Bitbucket
GitHub
GitHub
Docker
Docker
Google Cloud Storage
Google Cloud Storage
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm

What are some alternatives to Google Cloud Container Builder, Harbor?

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.

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