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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Docker Registry
  5. Harbor vs containerd

Harbor vs containerd

OverviewComparisonAlternatives

Overview

Harbor
Harbor
Stacks183
Followers185
Votes11
GitHub Stars26.8K
Forks5.0K
containerd
containerd
Stacks81
Followers140
Votes5

Harbor vs containerd: What are the differences?

  1. Implementation Approach: Harbor is a container image registry and runtime, while containerd is a container runtime. Harbor provides the capability to store, distribute, and manage container images, while containerd focuses solely on running containers.
  2. Architecture: Harbor is designed as a multi-component architecture, including a registry, job service, and user interface. On the other hand, containerd is built as a lightweight and portable container runtime, which can be integrated with other tools and platforms.
  3. Features: Harbor offers additional features such as role-based access control (RBAC), vulnerability scanning, and image replication. In contrast, containerd puts emphasis on providing a minimalistic and extensible runtime, with a focus on stability and performance.
  4. Community Support: Harbor has a larger community support due to its additional features, including contributions from VMware, the company behind its development. Containerd, on the other hand, has support from the Cloud Native Computing Foundation (CNCF) and has a strong ecosystem due to its adoption as a default container runtime in platforms like Kubernetes.
  5. Integration: Harbor can integrate with third-party vulnerability scanning tools and provides a user interface for image management. Containerd, being a runtime, is often integrated into higher-level container orchestration platforms like Kubernetes, which provide additional management and deployment capabilities.
  6. Use Cases: Harbor is commonly used in scenarios where organizations require a private container image registry with extra security and management features. Containerd, being a lightweight runtime, is often utilized in cloud-native architectures and container orchestration platforms.

In Summary, Harbor focuses on image storage and management, while containerd is a minimalistic runtime for running containers.

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Detailed Comparison

Harbor
Harbor
containerd
containerd

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

An industry-standard container runtime with an emphasis on simplicity, robustness, and portability

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
OCI Image Spec support; OCI Runtime Spec support (aka runC); Image push and pull support; Container runtime and lifecycle support; Network primitives for creation, modification, and deletion of interfaces; Multi-tenant supported with CAS storage for global images; Management of network namespaces containers to join existing namespaces
Statistics
GitHub Stars
26.8K
GitHub Stars
-
GitHub Forks
5.0K
GitHub Forks
-
Stacks
183
Stacks
81
Followers
185
Followers
140
Votes
11
Votes
5
Pros & Cons
Pros
  • 4
    Good on-premises container registry
  • 1
    Supports LDAP/Active Directory
  • 1
    Perfect for Teams and Organizations
  • 1
    Nice UI
  • 1
    Container Replication
Pros
  • 3
    No Need for docker shim
  • 2
    Supports Kubernetes version greater than 1.21
  • 0
    No kubernetes support after 1.22
  • 0
    Needs docker shim to work on kubernetes
Integrations
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm
No integrations available

What are some alternatives to Harbor, containerd?

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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