Software Alternatives & Reviews

REX-Ray VS rkt

Compare REX-Ray VS rkt and see what are their differences

REX-Ray logo REX-Ray

Runtime

rkt logo rkt

App Container runtime
  • REX-Ray Landing page
    Landing page //
    2020-08-08
  • rkt Landing page
    Landing page //
    2023-05-08

REX-Ray

Categories
  • Cloud Storage
  • Storage
  • Cloud Computing
  • Object Storage
Website rexraystudio.com

rkt

Categories
  • Cloud Storage
  • Storage
  • Cloud Computing
  • Object Storage
Website cloud.redhat.com

REX-Ray videos

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rkt videos

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 REX-Ray and rkt)
Cloud Storage
46 46%
54% 54
Cloud Computing
39 39%
61% 61
Storage
47 47%
53% 53
Object Storage
100 100%
0% 0

User comments

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Reviews

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REX-Ray Reviews

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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:

What are some alternatives?

When comparing REX-Ray and rkt, you can also consider the following products

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

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

Apache ServiceMix - Apache ServiceMix is an open source ESB that combines the functionality of a Service Oriented Architecture and the modularity.

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

Sheepdog - Sheepdog is a distributed object storage system for volume and container services and manages the...

Apache Edgent - Apache Edgent is an open source community for accelerating analytics at the edge.