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. Codefresh vs Tutum

Codefresh vs Tutum

OverviewComparisonAlternatives

Overview

Tutum
Tutum
Stacks61
Followers74
Votes235
Codefresh
Codefresh
Stacks64
Followers111
Votes47

Codefresh vs Tutum: What are the differences?

Comparison between Codefresh and Tutum

  1. Pricing: Codefresh offers a free tier for open-source projects and small teams, while Tutum requires a paid subscription for all users, making Codefresh more cost-effective for small organizations with limited budgets.
  2. Feature Set: Codefresh emphasizes CI/CD pipelines and container management, with an intuitive interface for Kubernetes and Helm deployments. In contrast, Tutum focuses more on container orchestration and networking features, catering to more advanced users with complex infrastructure needs.
  3. Community Support: Codefresh has a robust community forum and extensive documentation, offering users a vast resource for troubleshooting and best practices. Tutum, on the other hand, provides limited community support and relies more on official documentation and customer support for assistance.
  4. Integration Capabilities: Codefresh integrates seamlessly with popular version control systems like GitHub and Bitbucket, as well as cloud providers such as AWS and Azure, enhancing its compatibility with existing workflows. Tutum has fewer third-party integrations and may require custom solutions for specific use cases, making it less versatile in multi-cloud environments.
  5. Scalability: Codefresh is designed to scale effortlessly with growing projects, utilizing cloud-native architecture to support large enterprise deployments. Tutum, while capable of handling substantial workloads, may require additional configuration and monitoring to maintain optimal performance as infrastructure scales.
  6. User Experience: Codefresh offers a more streamlined and user-friendly experience, with an emphasis on automation and simplicity in setting up pipelines and workflows. Tutum, while powerful in its capabilities, can have a steeper learning curve and require more manual configuration for intricate setups.

In Summary, Codefresh and Tutum differ in pricing, feature set, community support, integration capabilities, scalability, and user experience.

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

Tutum
Tutum
Codefresh
Codefresh

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.

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 from Docker Hub; Free private Docker registry; CLI Tool; Private Links; Dynamic Links; RESTful API; Edit & Redeploy; Jumpstarts & Quickstarts; Webhooks; Bring your own node; Data volumes; Amazon Web Services; Digital Ocean; Microsoft Azure;
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
61
Stacks
64
Followers
74
Followers
111
Votes
235
Votes
47
Pros & Cons
Pros
  • 35
    Awesome user interface
  • 28
    Free private docker registry
  • 24
    Its super easy
  • 24
    Docker public index integration
  • 21
    Friendly support
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
    Easy setup
Cons
  • 1
    Expensive compared to alternatives
  • 1
    Questionable product quality and stability
Integrations
Docker
Docker
MongoDB
MongoDB
MariaDB
MariaDB
MySQL
MySQL
DigitalOcean
DigitalOcean
Memcached
Memcached
RabbitMQ
RabbitMQ
PostgreSQL
PostgreSQL
Riak
Riak
WordPress
WordPress
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 Tutum, 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.

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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

Docker Machine

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

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