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Codefresh VS rkt

Compare Codefresh VS rkt and see what are their differences

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Codefresh logo Codefresh

Continuous Delivery and Collaboration Platform for Docker.

rkt logo rkt

App Container runtime
  • Codefresh Landing page
    Landing page //
    2023-10-05
  • rkt Landing page
    Landing page //
    2023-05-08

Codefresh videos

+ Add

Codefresh Walkthrough

More videos:

  • Review - Codefresh CICD New Features Launch! May 2019
  • Review - What is Codefresh?

rkt videos

+ Add

RKT IPO Review | Is Rocket a Buy for 2020? | Matt Mulvihill

More videos:

  • Review - 2018 Niner RKT 9 RDO - First Look and Build Kit Overview
  • Review - Best Stock Picks Today | RKT Stock 9-2-20

Category Popularity

0-100% (relative to Codefresh and rkt)

Codefresh

rkt

Continuous Integration
100 100%
Continuous Integration
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
DevOps Tools
100 100%
DevOps Tools
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100

User comments

Share your experience with using Codefresh and rkt. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Codefresh and rkt

Codefresh Reviews

We have no reviews of Codefresh yet.
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rkt Reviews

5 Container Alternatives to Docker
In 2018, 12 percent of production containers were rkt (pronounced “Rocket”). Rkt supports two types of images: Docker and appc. A selling point of rkt is its pod-based process that works out of the box with Kubernetes (also referred to as “rktnetes”). In Kubernetes, an rkt container runtime can easily be specified:
Source: containerjournal.com

Social recommendations and mentions

Based on our record, Codefresh seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Codefresh mentions (4)

  • Akuity launch new Argo CD SaaS Platform
    Oh, and we just launched a hosted version! So you don't even need to host your own Argo CD instance. Definitely check it out, https://codefresh.io/ it's awesome! Let me know if you have any questions or if I can help in anyway. Source: over 1 year ago
  • The Kubernetes Development Workflow – 3 Critical Steps
    To deploy an application to production, more complex continuous integration and deployment solutions exist. Since Kubernetes is so common now that almost all CI/CD tools support it, it does not really matter if these solutions are particularly specialized on Kubernetes or not. You should rather compare different solutions again and see which best fits your needs. A good starting point are these tools: Jenkins,... - Source: dev.to / almost 2 years ago
  • First impressions on GitOps and Kubernetes
    Wow! Nice to see my articles at codefresh.io being mentioned as best practice. Source: almost 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Codefresh.io — Free-for-Life plan: 1 build, 1 environment, shared servers, unlimited public repos. - Source: dev.to / almost 3 years ago

rkt mentions (0)

We have not tracked any mentions of rkt yet. Tracking of rkt recommendations started around Mar 2021.

What are some alternatives?

When comparing Codefresh and rkt, you can also consider the following products

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

GlusterFS - GlusterFS is a scale-out network-attached storage file system.

Bitrise - Tens of thousands of agencies, startups and enterprise companies with mobile apps - including Runkeeper, Grindr, Duolingo and more - use Bitrise to automate their way to increased productivity & speed

Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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

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