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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Virtual Machine Platforms And Containers
  5. Boxfuse vs rkt

Boxfuse vs rkt

OverviewComparisonAlternatives

Overview

rkt
rkt
Stacks29
Followers112
Votes10
Boxfuse
Boxfuse
Stacks4
Followers10
Votes0

rkt vs Boxfuse: What are the differences?

Developers describe rkt as "App Container runtime". Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast. On the other hand, Boxfuse is detailed as "Immutable Infrastructure Made Easy". It generates minimal images for your application in seconds. They boot directly on virtual hardware. There is no classic OS and no container runtime.

rkt and Boxfuse can be categorized as "Virtual Machine Platforms & Containers" tools.

Some of the features offered by rkt are:

  • Composable. All tools for downloading, installing, and running containers should be well integrated, but independent and composable.
  • Security. Isolation should be pluggable, and the crypto primitives for strong trust, image auditing and application identity should exist from day one.
  • Image distribution. Discovery of container images should be simple and facilitate a federated namespace, and distributed retrieval. This opens the possibility of alternative protocols, such as BitTorrent, and deployments to private environments without the requirement of a registry.

On the other hand, Boxfuse provides the following key features:

  • Images measured in MB, not GB
  • Deep and powerful integration
  • Secure and production-ready by design

rkt is an open source tool with 8.75K GitHub stars and 837 GitHub forks. Here's a link to rkt's open source repository on GitHub.

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Detailed Comparison

rkt
rkt
Boxfuse
Boxfuse

Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.

It generates minimal images for your application in seconds. They boot directly on virtual hardware. There is no classic OS and no container runtime.

Composable. All tools for downloading, installing, and running containers should be well integrated, but independent and composable.;Security. Isolation should be pluggable, and the crypto primitives for strong trust, image auditing and application identity should exist from day one.;Image distribution. Discovery of container images should be simple and facilitate a federated namespace, and distributed retrieval. This opens the possibility of alternative protocols, such as BitTorrent, and deployments to private environments without the requirement of a registry.;Open. The format and runtime should be well-specified and developed by a community. We want independent implementations of tools to be able to run the same container consistently.
Images measured in MB, not GB; Deep and powerful integration; Secure and production-ready by design; Made for Continuous Deployment
Statistics
Stacks
29
Stacks
4
Followers
112
Followers
10
Votes
10
Votes
0
Pros & Cons
Pros
  • 5
    Security
  • 3
    Robust container portability
  • 2
    Composable containers
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL
Node.js
Node.js
GitHub
GitHub
Gradle
Gradle
Scala
Scala
Groovy
Groovy
MySQL
MySQL
Apache Maven
Apache Maven
Linux
Linux
Golang
Golang

What are some alternatives to rkt, Boxfuse?

Docker

Docker

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

LXD

LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

LXC

LXC

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.

Vagrant Cloud

Vagrant Cloud

Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.

Studio 3T

Studio 3T

It's the only MongoDB tool that provides three ways to explore data alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, import and export, SQL query support and more.

OpenVZ

OpenVZ

Virtuozzo leverages OpenVZ as its core of a virtualization solution offered by Virtuozzo company. Virtuozzo is optimized for hosters and offers hypervisor (VMs in addition to containers), distributed cloud storage, dedicated support, management tools, and easy installation.

SmartOS

SmartOS

It combines the capabilities you get from a lightweight container OS, optimized to deliver containers, with the robust security, networking and storage capabilities you’ve come to expect and depend on from a hardware hypervisor.

Clear Containers

Clear Containers

We set out to build Clear Containers by leveraging the isolation of virtual-machine technology along with the deployment benefits of containers. As part of this, we let go of the "generic PC hardware" notion traditionally associated with virtual machines; we're not going to pretend to be a standard PC that is compatible with just about any OS on the planet.

Flatpak

Flatpak

It is a next-generation technology for building and distributing desktop applications on Linux

Lima

Lima

It launches Linux virtual machines with automatic file sharing, port forwarding, and containerd. It can be considered as some sort of unofficial "macOS subsystem for Linux", or "containerd for Mac". It is expected to be used on macOS hosts, but can be used on Linux hosts as well. It may work on NetBSD and Windows hosts as well.

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