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Joyent Cloud vs Microsoft Azure: What are the differences?

Joyent Cloud: Cloud Infrastructure for Real-time Web and Mobile Applications. Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications; Microsoft Azure: Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios. Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Joyent Cloud and Microsoft Azure can be categorized as "Cloud Hosting" tools.

Some of the features offered by Joyent Cloud are:

  • Joyent offers exclusive debugging and performance analysis tools for Node.js applications.
  • High-performance machines- Joyent Cloud uses fresh Nehalem/Westmere processors and 15k RPM HDs in our data centers. I/O throttling ensures that “noisy neighbors” won’t cause your application to perform poorly.
  • Dynamic CPU scaling- Dynamic, real-time CPU scaling. Vertical bursting CPU capacity without user intervention or additional fees.

On the other hand, Microsoft Azure provides the following key features:

  • Use your OS, language, database, tool
  • Global datacenter footprint
  • Enterprise Grade with up to a 99.95% monthly SLA

"High-performance" is the primary reason why developers consider Joyent Cloud over the competitors, whereas "Scales well and quite easy" was stated as the key factor in picking Microsoft Azure.

Microsoft, Starbucks, and Accenture are some of the popular companies that use Microsoft Azure, whereas Joyent Cloud is used by Roundscope Ukraine Labs, Nodejitsu, and Nodefly. Microsoft Azure has a broader approval, being mentioned in 497 company stacks & 470 developers stacks; compared to Joyent Cloud, which is listed in 4 company stacks and 5 developer stacks.

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What is Joyent Cloud?

Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications.

What is Microsoft Azure?

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
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    What are some alternatives to Joyent Cloud and Microsoft Azure?
    Amazon EC2
    It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
    DigitalOcean
    We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
    Google Cloud Platform
    It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
    Google Compute Engine
    Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
    Linode
    Get a server running in minutes with your choice of Linux distro, resources, and node location.
    See all alternatives
    Decisions about Joyent Cloud and Microsoft Azure
    Kestas Barzdaitis
    Kestas Barzdaitis
    Entrepreneur & Engineer · | 15 upvotes · 209K views
    atCodeFactorCodeFactor
    Kubernetes
    Kubernetes
    CodeFactor.io
    CodeFactor.io
    Amazon EC2
    Amazon EC2
    Microsoft Azure
    Microsoft Azure
    Google Compute Engine
    Google Compute Engine
    Docker
    Docker
    AWS Lambda
    AWS Lambda
    Azure Functions
    Azure Functions
    Google Cloud Functions
    Google Cloud Functions
    #SAAS
    #IAAS
    #Containerization
    #Autoscale
    #Startup
    #Automation
    #Machinelearning
    #AI
    #Devops

    CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

    CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

    AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

    It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

    The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

    In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

    Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

    See more
    Omar Mehilba
    Omar Mehilba
    Co-Founder and COO at Magalix · | 18 upvotes · 132.6K views
    atMagalixMagalix
    Kubernetes
    Kubernetes
    Microsoft Azure
    Microsoft Azure
    Google Kubernetes Engine
    Google Kubernetes Engine
    Amazon EC2
    Amazon EC2
    Go
    Go
    Python
    Python
    #Autopilot

    We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 35.1K views
    atKomiserKomiser
    Google Compute Engine
    Google Compute Engine
    Amazon Web Services
    Amazon Web Services
    OVH
    OVH
    Microsoft Azure
    Microsoft Azure
    Go
    Go
    GitHub
    GitHub

    Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

    Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

    You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

    Read the full story in the blog post.

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 42.7K views
    atKomiserKomiser
    Google Compute Engine
    Google Compute Engine
    Amazon Web Services
    Amazon Web Services
    Go
    Go
    Docker
    Docker
    Material Design for Angular
    Material Design for Angular
    Microsoft Azure
    Microsoft Azure
    GitHub
    GitHub

    Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I’m super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

    Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

    It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

    See more
    Interest over time
    Reviews of Joyent Cloud and Microsoft Azure
    Avatar of IanEdington
    Business Analyst
    Review ofMicrosoft AzureMicrosoft Azure

    Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

    The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

    If you want VMs you can have them and even program when they come online.

    There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

    How developers use Joyent Cloud and Microsoft Azure
    Avatar of MOKA Analytics
    MOKA Analytics uses Microsoft AzureMicrosoft Azure

    We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

    Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

    Avatar of Daniel Kovacs
    Daniel Kovacs uses Microsoft AzureMicrosoft Azure

    My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

    Avatar of PSESD
    PSESD uses Microsoft AzureMicrosoft Azure

    We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

    Avatar of Onezino Gabriel
    Onezino Gabriel uses Microsoft AzureMicrosoft Azure

    Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

    Avatar of Sean Long
    Sean Long uses Microsoft AzureMicrosoft Azure

    Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

    How much does Joyent Cloud cost?
    How much does Microsoft Azure cost?