Joyent vs Amazon Web Services

Struggling to choose between Joyent and Amazon Web Services? Both products offer unique advantages, making it a tough decision.

Joyent is a Online Services solution with tags like containers, serverless-computing, cloud-infrastructure, big-data-analytics.

It boasts features such as Container-native infrastructure, Serverless computing with Triton Function, Big data analytics with Manta Storage, Hybrid and multi-cloud support, High performance computing and pros including Fast and efficient application deployment, Flexible scaling, Built-in security and compliance, Support for modern development practices like containers and serverless, Powerful big data analytics capabilities.

On the other hand, Amazon Web Services is a Online Services product tagged with cloud, infrastructure, storage, compute, scalable.

Its standout features include Elastic Compute Cloud (EC2) for scalable computing capacity, Simple Storage Service (S3) for cloud object storage, Relational Database Service (RDS) for managed databases, Lambda for running code without provisioning servers, Route 53 for DNS management, CloudFront for content delivery network, Security services like IAM for access controls, and it shines with pros like Wide range of services for flexible and scalable cloud solutions, Pay-as-you-go pricing allows optimization of costs, Global infrastructure provides low latency access, Frequent updates and new features added, Integrated services work well together, High availability and durability of core services.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Joyent

Joyent

Joyent is a cloud infrastructure and big data analytics platform that provides compute, storage, and networking services. It specializes in containers and serverless computing to allow developers to deploy applications quickly and efficiently.

Categories:
Online Services Cloud Computing
containers serverless-computing cloud-infrastructure big-data-analytics

Joyent Features

  1. Container-native infrastructure
  2. Serverless computing with Triton Function
  3. Big data analytics with Manta Storage
  4. Hybrid and multi-cloud support
  5. High performance computing

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Fast and efficient application deployment

Flexible scaling

Built-in security and compliance

Support for modern development practices like containers and serverless

Powerful big data analytics capabilities

Cons

Can be complex to set up and manage

Requires expertise to get full value from features

Not as well known as some competitors like AWS and Azure

Amazon Web Services

Amazon Web Services

Amazon Web Services (AWS) is a comprehensive and widely adopted cloud computing platform provided by Amazon. Offering a vast array of computing resources, storage options, and scalable services, AWS enables businesses and individuals to build, deploy, and manage applications and infrastructure in the cloud.

Categories:
Online Services Cloud Computing
cloud infrastructure storage compute scalable

Amazon Web Services Features

  1. Elastic Compute Cloud (EC2) for scalable computing capacity
  2. Simple Storage Service (S3) for cloud object storage
  3. Relational Database Service (RDS) for managed databases
  4. Lambda for running code without provisioning servers
  5. Route 53 for DNS management
  6. CloudFront for content delivery network
  7. Security services like IAM for access controls

Pricing

  • Pay-As-You-Go

Pros

Wide range of services for flexible and scalable cloud solutions

Pay-as-you-go pricing allows optimization of costs

Global infrastructure provides low latency access

Frequent updates and new features added

Integrated services work well together

High availability and durability of core services

Cons

Complex array of services can have steep learning curve

Vendor lock-in once architecture is built on AWS

Costs can spiral out of control if not managed carefully

Frequent changes can disrupt workloads

Requires monitoring and automation to manage at scale