Software Alternatives, Accelerators & Startups

Artifactory VS AWS Fargate

Compare Artifactory VS AWS Fargate and see what are their differences

Artifactory logo Artifactory

The world’s most advanced repository manager.

AWS Fargate logo AWS Fargate

AWS Fargate is a compute engine for Amazon ECS and EKS that allows you to run containers without having to manage servers or clusters.
  • Artifactory Landing page
    Landing page //
    2023-10-02
  • AWS Fargate Landing page
    Landing page //
    2021-10-29

Artifactory videos

[Webinar] Introducing JFrog Mission Control

More videos:

  • Review - Introduction to Artifactory
  • Review - JFrog Mission Control - Accelerate Software Delivery at Global Scale
  • Review - [Webinar] Introduction to Artifactory
  • Review - [Webinar] Introduction to Artifactory

AWS Fargate videos

Deep Dive into AWS Fargate

More videos:

  • Tutorial - AWS Fargate Tutorial | AWS Tutorial For Beginners | AWS Certification Training | Edureka
  • Review - AWS Fargate - Running Dockerized Apps

Category Popularity

0-100% (relative to Artifactory and AWS Fargate)
Code Collaboration
100 100%
0% 0
Developer Tools
46 46%
54% 54
Git
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Artifactory and AWS Fargate

Artifactory Reviews

Repository Management Tools
Artifactory is the enterprise-ready repository manager available today, supporting secure, clustered, High Availability Docker registries. JFrog is a universal artifact repository and distribution platform. A unique DevOps tool, JFrog Artifactory is a universal artifact repository manager that fully supports software packages created by any language or technology. Integrates...
Source: mindmajix.com
Choosing a Binary Repository Manager
JFrog bills Artifactory as the first universal binary repository manager and supports a wide range of package managers, including Maven, npm, Go Registry, NuGet, PyPI, RubyGems, Conan, RPM, Debian, and Helm. It’s been around since before 2009. A complete list of supported package managers can be found here.
What is Artifactory?
Artifactory is a branded term to refer to a repository manager that organizes all of your binary resources. These resources can include remote artifacts, proprietary libraries, and other third-party resources. A repository manager pulls all of these resources into a single location. The word “Artifactory” refers to the JFrog product, the JFrog Artifactory, but there are...

AWS Fargate Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
For Container-as-a-Service (CaaS) Kubernetes alternatives, AWS Fargate is a great option. It is well-known for simplifying container management and deployment on AWS.
Source: humalect.com
Top 10 Best Container Software in 2022
Using AWS Fargate, you now don’t need to provision, configure, and scale cluster virtual machines to execute containers. This, in turn, eliminates the requirement to select server types, determine at what time to scale your clusters or optimize cluster packing.

Social recommendations and mentions

Based on our record, AWS Fargate should be more popular than Artifactory. It has been mentiond 46 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.

Artifactory mentions (20)

  • Where to store executables shared by a team/project
    I kind of hate it, but Artifactory seems popular at companies: https://jfrog.com/artifactory/. Source: 12 months ago
  • Adding Virtual Environments to Git Repo
    When not providing all dependencies yourself, you might suffer from people deleting the packages you depend on (IMHO a very rare scenario). If it is really that critical (hint: usually it isn't), create a local mirror of Pypi (full or only the packages you need). Devpi, Artifactory, etc. Can do that or you just dump the necessary files into Cloud storage, so you have a backup. Source: about 1 year ago
  • Authenticated Docker Hub image pulls in Kubernetes
    Operate a pull-through cache registry, like Artifactory or the open source reference Docker registry. This will allow you to pull images from Docker Hub less frequently, improving your chances of staying under the anonymous usage limit. - Source: dev.to / about 1 year ago
  • Concretely, how do you trust the experts? That is, how do you a) identify experts relevant to something and b) determine if they have a consensus (and if so, what it is) on a given topic?
    Like suppose for a second that . . . Idk . . . a product team wants our ci workflows to start using Artifactory. Okay great, I don't know Artifactory integration but I'm going to tell them "Sure, I'll get right on that.". Source: over 1 year ago
  • What do I do with large "asset" files?
    If these "assets" have an independent release schedule I would treat them separately (especially if they are externally provided). If they are not built from source then treat them as artefacts, they don't belong in git. You can store the in an artefact repository (like Artifactory of Nexus) or (as u/nekokattt points out) in something like S3. Source: over 1 year ago
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AWS Fargate mentions (46)

  • A Brief History Of Serverless
    This model was so successful that we started to see others create competitors such as AWS Fargate and Azure Container Instances. - Source: dev.to / about 1 month ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
  • Lambda on hard mode: serverless HTTP in Rust
    I never had a case where cold starts mattered because either 1) it was the kind of service where cold starts intrinsically didnt matter, or 2) we generally had > 1 req/15mins meaning we always had something warm. 3) Also you can pay for provisioned capacity[1] if the cold start thing makes it worth the money, though also just look into fargate[2] if that's the case. [1]:... - Source: Hacker News / 3 months ago
  • Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)
    One great option in the serverless world for something like this is to run containers using AWS Fargate (https://aws.amazon.com/fargate/). Fargate is a service from AWS where you don't need to spin up or manage EC2 VMs to get access to compute. Also you don't need to pay for a container orchestration layer. You just provide a docker image and the specs of what you need to run it (cpu, ram, disk, etc) and AWS spins... - Source: dev.to / 5 months ago
  • Best Practices for Seamless EKS Cluster Upgrades with Fargate: A Hands-On Guide
    As cloud-native architectures evolve, managing Kubernetes clusters becomes pivotal for maintaining optimal performance and security. Amazon EKS, combined with Fargate for serverless pod execution, offers a powerful solution. In this guide, we'll delve into best practices for EKS cluster upgrades with Fargate, providing a hands-on approach to ensure a seamless transition. Let's embark on the journey of mastering... - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Artifactory and AWS Fargate, you can also consider the following products

Sonatype Nexus Repository - The world's only repository manager with FREE support for popular formats.

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Cloudsmith - Cloudsmith is the preferred software platform for securely storing and sharing packages and containers. We have distributed millions of packages for innovative companies around the world.

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers