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. DevOps
  3. Continuous Deployment
  4. Deployment As A Service
  5. Codefresh vs Octopus Deploy

Codefresh vs Octopus Deploy

OverviewComparisonAlternatives

Overview

Octopus Deploy
Octopus Deploy
Stacks407
Followers493
Votes118
Codefresh
Codefresh
Stacks64
Followers111
Votes47

Codefresh vs Octopus Deploy: What are the differences?

Key Differences Between Codefresh and Octopus Deploy

Codefresh is a continuous integration and delivery platform, while Octopus Deploy is a release management platform. Both tools have their own unique features and capabilities.

  1. Deployment Process: Codefresh uses a declarative YAML-based approach to define and manage the deployment process. Octopus Deploy, on the other hand, uses a more traditional sequential approach where the deployment process is defined as a series of steps and tasks.

  2. Support for Containerization: Codefresh has native support for Docker and Kubernetes, making it easier to build, test, and deploy containerized applications. Octopus Deploy also supports containerization but lacks some advanced features and integrations compared to Codefresh.

  3. Visibility and Monitoring: Codefresh provides comprehensive visibility and monitoring of the entire CI/CD pipeline with real-time logs and notifications. Octopus Deploy offers similar monitoring capabilities but with less real-time visibility and limited notifications.

  4. Integration and Extensibility: Codefresh has a wide range of built-in integrations and can be easily extended through custom plugins and integrations with popular tools and platforms. Octopus Deploy also has a good set of integrations but with fewer options for customization and extensibility.

  5. User Interface and Experience: Codefresh has a modern and user-friendly interface with intuitive workflows and a visual pipeline editor. Octopus Deploy has a more traditional and slightly complex user interface that may require more training and learning curve for new users.

  6. Pricing Model: Codefresh offers both free and paid plans based on the number of users and pipeline minutes. Octopus Deploy, on the other hand, offers a more traditional licensing model based on the number of deployment targets and additional features.

In summary, Codefresh is a more modern and user-friendly CI/CD platform with strong containerization support and extensive integrations, while Octopus Deploy focuses more on traditional release management processes with a slightly less intuitive user interface and fewer customization options.

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

Octopus Deploy
Octopus Deploy
Codefresh
Codefresh

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

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.

Deploy on-premises or to the cloud, securely;.NET, Java, PHP, Node, Ruby;Full API support;Approvals and manual intervention;Enable self-service deployments;Installs in minutes;Integrates with your build server;Free for small teams
Instant Dev, test and feature preview environments: Enables all team members to run any image as a standalone or composition for feature preview, manual testing, bug reproduction and more. Collaborate on features before pushing them into staging and production.; Testing with every step: Configure your pipeline to run integration and unit tests with every step; Instantly test all code changes in the Codefresh build system before pushing to staging & production. Run integration, unit tests in parallel.; 360° view of Docker images: View commit info, test results and build logs for all images; Manage Docker image labels and status, comment and see new feature branches; search and filter based on any attribute.; Out-of-the-box Docker buildpack for all technologies: Seamlessly package your code in a Docker image. Quickly associate a Dockerfile with your repo by selecting the repository technology stack (Java, Node, PHP, etc.). Codefresh then adds a template for Dockerizing apps.; View and Access Running Container Logs: Access each container log directly from within the Codefresh platform. This lets you easily perform root-cause analysis on failed services and allows you to see logs in high debug model level.; Support for Docker Compose 1 & 2: Manage your Docker Compose file natively in one place, with support for both Docker Compose versions 1 and 2. Use a built-in wizard to write Docker Compose files quickly.; YAML file support: Customize and easily define your pipeline steps using a codefresh.yml file.
Statistics
Stacks
407
Stacks
64
Followers
493
Followers
111
Votes
118
Votes
47
Pros & Cons
Pros
  • 30
    Powerful
  • 25
    Simplicity
  • 20
    Easy to learn
  • 17
    .Net oriented
  • 14
    Easy to manage releases and rollback
Cons
  • 4
    Poor UI
  • 2
    Config & variables not versioned (e.g. in git)
  • 2
    Management of Config
Pros
  • 11
    Fastest and easiest way to work with Docker
  • 7
    Great support/fast builds/awesome ui
  • 6
    Great onboarding
  • 5
    Freestyle build steps to support custom CI/CD scripting
  • 4
    Robust feature-preview/qa environments on-demand
Cons
  • 1
    Questionable product quality and stability
  • 1
    Expensive compared to alternatives
Integrations
Jenkins
Jenkins
Azure DevOps
Azure DevOps
TeamCity
TeamCity
Jira
Jira
Appveyor
Appveyor
Bamboo
Bamboo
Quay.io
Quay.io
Docker Compose
Docker Compose
Docker Swarm
Docker Swarm
BinTray
BinTray
Docker Cloud
Docker Cloud
Amazon EC2
Amazon EC2
GitHub
GitHub
Bitbucket
Bitbucket
HipChat
HipChat
BlazeMeter
BlazeMeter

What are some alternatives to Octopus Deploy, Codefresh?

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.

AWS CodeDeploy

AWS CodeDeploy

AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.

Distelli

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

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.

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