JFrog Artifactory vs. Mirantis Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
JFrog Artifactory
Score 8.3 out of 10
N/A
JFrog Artifactory is a software repository management solution for enterprises available on-premise or from the cloud, presented as a single solution for housing and managing all the artifacts, binaries, packages, files, containers, and components for use throughout the software supply chain. JFrog Artifactory serves as a central hub for DevOps, integrating with tools and processes to improve automation, increase integrity, and incorporate best practices along the way.
$150
per month unlimited users
Mirantis Kubernetes Engine
Score 9.4 out of 10
N/A
The Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters on any infrastructure: public cloud, private cloud, or bare metal.
$0
per year
Pricing
JFrog ArtifactoryMirantis Kubernetes Engine
Editions & Modules
Pro
$150
per month unlimited users
Enterprise X
$950
per month unlimited users
Pro X
$27,000
per year
Enterprise X
$48,000
per year
Enterprise +
Custom Pricing
Enterprise +
Contact Us
per year
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
JFrog ArtifactoryMirantis Kubernetes Engine
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsThese pricing options are compatible with Linux or Windows Server and are per year, per node. The basic version requires maximum online purchase not to exceed 50 nodes. Support/professional services are not included.
More Pricing Information
Community Pulse
JFrog ArtifactoryMirantis Kubernetes Engine
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User Ratings
JFrog ArtifactoryMirantis Kubernetes Engine
Likelihood to Recommend
8.2
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
7.3
(0 ratings)
8.0
(0 ratings)
Support Rating
8.9
(0 ratings)
7.8
(0 ratings)
User Testimonials
JFrog ArtifactoryMirantis Kubernetes Engine
Likelihood to Recommend
It works at scale and a large number of accessible pipelines for searching, repository updates and indexing will become easier. JFrog provides end-to-end solutions for all DevOps needs. With this, Jfrog Artifactory specifically implements the management of highly available repositories, with a smooth interface and integration with all the main CI tools on the market.
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Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.
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Pros
  • Stores and Manages build artifacts and packages.
  • Works as container registry as well.
  • Easily manages local and remote repositories along with live replication.
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  • Containerization - allowing multiple micro-services to function together without in-depth orchestration at the VM level.
  • Rapid deployment - a developer with appropriate access can simply push to the correct remote and the deploy happens automatically from there
  • Decouples provisioning from VM administration - allows containers to be deployed (more) regardless of VM set up.
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Cons
  • CI/CD integration. We understood they do have a pipeline, so our organization already started with Jenkins, and my understanding is that not many orgs are using the JFrog pipeline.
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  • Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
  • Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
  • We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.
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Usability
The main problem that seems intractable is getting the checksum of the artifact. Managing container artifacts is a game changer for us during project execution, as the container artifact type exposes all base image and Docker file steps. This makes debugging or analysis easier. Jfrog Artifactory provides promotion feature and can automated from one environment repo to another environment repo before the deployment occurs.
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Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.
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Support Rating
Support tickets take days to respond. The most basic of questions that should be knocked out in a few hours don't get answers for days. Tickets are also closed without resolution.
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The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.
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Alternatives Considered
JFrog pipelines are being used in the same ecosystem as an integrated environment, to support CI-CD devops journey. This eventually helps the existing team to use both the features of the same product in a seamless way.Similar Xray, can be used as a secure measure to protect your containers and can be used as a Static Code analysis tool which can also be integrated in a Devops CI pipeline as a Left shift security strategy.
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I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus
they start and shut down very fast. This tool is helping the enterprise
software to work quickly against the changing conditions thus offers great
scaling by simultaneously allowing me to meet the demands, which also leads to
easy implementation of the strategies.
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Return on Investment
  • We now have a solid, reliable binary repository that can survive a regional outage in AWS when deployed properly
  • It has allowed us to focus on building mature CICD pipelines without having to worry about an unreliable binary repository.
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  • We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
  • In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.
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