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Datera VS rkt

Compare Datera VS rkt and see what are their differences

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Datera logo Datera

Get sub-200µS latency & millions of IOPS with 100% software-defined data automation. Save up to 70% on data infrastructure total-cost-of-ownership. Try Datera for FREE!

rkt logo rkt

App Container runtime
  • Datera Landing page
    Landing page //
    2021-08-08
  • rkt Landing page
    Landing page //
    2023-05-08

Datera videos

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rkt videos

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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 Datera and rkt)

Datera

rkt

Cloud Storage
24 24%
Cloud Storage
76% 76
Cloud Computing
20 20%
Cloud Computing
80% 80
Storage
25 25%
Storage
75% 75
Object Storage
100 100%
Object Storage
0% 0

User comments

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Reviews

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

Datera 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:
Source: containerjournal.com

What are some alternatives?

When comparing Datera 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.

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

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

REX-Ray - Runtime

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

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