AWS Amplify VS Vercel

AWS Amplify

AWS Amplify is a set of tools and services for building and deploying cloud-based applications. It offers a range of features for building and deploying web and mobile applications, including support for continuous deployment, serverless functions, and global CDN distribution.

AWS Amplify also integrates with a variety of other AWS services, making it easy to build and deploy applications on the AWS cloud.

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Vercel is a cloud platform for building and deploying modern applications. It is designed to make it easy for developers to build, test, and deploy their code, with a focus on simplicity and speed. With Vercel, you can deploy your code to a global network of servers with a single command, and the platform will take care of the rest, including provisioning servers, scaling your application to meet demand, and providing security and compliance.

Vercel supports a wide range of technologies and frameworks, including popular languages such as JavaScript, Python, and Go, as well as static site generators like Next.js and Gatsby. You can use Vercel to deploy a variety of different types of applications, including web applications, mobile backends, and APIs.

Vercel also provides a number of tools and services to help you manage your deployments, including continuous integration and delivery, database and file storage, and analytics and monitoring.

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  • AWS Amplify
    • Global CDN-based hosting
    • User registration and login, password resets, and multi-factor authentication are all supported natively
    • Free tier, with extra use fees
    • combines with more AWS services including AppSync, Pinpoint, and SNS
    • more adaptable and suitable for feature-rich, complicated web applications
  • Vercel
    • Global CDN-based hosting
    • Supporting custom domains
    • features a free tier and fees for more usage and storage
    • comparison comparison 100% 10 M7 Integrates with other providers such as GitHub, GitLab and Bitbucket To enable screen reader support, press Ctrl+Alt+Z To learn about keyboard shortcuts, press Ctrl+slash \t\t Integrates with other providers such as GitHub, GitLab and Bitbucket Turn on screen reader support Jinal Prajapati has joined the document
    • suitable for web applications that demand high scalability, security, and built-in connectors
    • Web application development and deployment support built-in


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FrameWork AWS Amplify Vercel
OverviewLearn more
Multi-cloud Google Cloud (GCP), AWS Cloudflare Workers for Edge Functions
Continuous deployment
Automated builds from Git
Instant rollbacks to any version
Site previews for every push
Compatible with all Static Site Generators
Slack, GitHub, outgoing webhook
Team Management
Custom domains
Automatic HTTPS
Rewrites & Redirects
Password Protection
Share with Team Members, via sharable links or add password protection
Build Minutes
1 000 minutes /month for the first 12 months
6000 minutes /month
Concurrent builds
15GB /month for the first 12 months
100GB /month
Team Members
Build Time Per Deployment
30 minutes Can be increased by setting a custom _BUILD_TIMEOUT env variable.
45 minutes
Build Memory Limit (in MiB)
2048 MiB Can be increased to 8196 MiB
8192 MiB
Max team members before switch to custom pricing
Git contributors have to be Team Members
Starting from $20/mo per member
Serverless Functions (API)
Node.js, Java, Go, .NET Core, Python
Node.js, Go, Python, Ruby
Edge Functions
Vercel Edge Functions
Background Functions
Schedule functions
Environment Variables
Build Logs
Build Canceling
Integration with AWS Pinpoint

Real-time Insights. User Experience Scores. Web Vitals. Audiences. Starting at $10 per project/month

Integration with Amazon Cognito
Powered by AWS AppSync and Amazon DynamoDB
Asset Optimizations
bundling, minifying, compressing images
A/B Testing
Using Edge Functions
Form Handling
Data Storage
Push Notifications
Two-factor authentication
Team Logs
Possible with AWS IAM and CloudTrail
SOC2 Type 2
Carbon Neutral
Carbon-free Energy
AWS promised to run on 100% renewable energy by 2025
AWS promised to run on 100% renewable energy by 2025
Machine Learning-

Deployment Platforms

The Jamstack ecosystem is rapidly evolving, and with it -- we're witnessing a wider usage of static site generators, which are certainly a big part of the Jamstack technology.


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