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AWS Amplify vs Runpod (2026): Pricing, Features & Verdict

AWS Amplify is our pick, scoring 7.2/10 against 6.4/10 for Runpod on our Hosting & Infrastructure criteria. Its biggest advantage: higher Integration score (9/10 vs 6/10). Only AWS Amplify has a free plan.

Last updated: November 2026

A

AWS Amplify

7.2/10

Winner

AWS Amplify is a pay-as-you-go platform from Amazon Web Services for hosting web apps from Git and building full-stack backends on AWS.

Runpod logo

Runpod

6.4/10

Runpod is a GPU cloud for AI teams, offering per-second GPU pods, autoscaling serverless inference endpoints, and multi-node instant clusters.

Feature-by-Feature Comparison

Feature
A
AWS Amplify
Runpod logo
Runpod
Scores
Overall Rating7.2/106.4/10
Integration9/106/10
Support5/104/10
Cost7/108/10
Customization7/108/10
Security8/107/10
Reliability8/105/10
Ease of Use5/107/10
Analytics6/105/10
Scalability9/108/10
Pricing
Free planYesNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersFree
Free Tier
Contact for pricing
Features
API and CLI
Git Deployments
Multiple Regions
Serverless Functions
Uptime SLA
Cloud ComputeNot listed
Content Delivery NetworkNot listed
Free SSL CertificatesNot listed
Managed DatabasesNot listed
Managed WordPressNot listed
Object StorageNot listed
Shared HostingNot listed

AWS Amplify vs Runpod cost by team size

Team sizeAWS AmplifyRunpod
1 userFreeFree TierContact for pricing
5 usersFreeFree TierContact for pricing
10 usersFreeFree TierContact for pricing
25 usersFreeFree TierContact for pricing
50 usersFreeFree TierContact for pricing

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Who AWS Amplify and Runpod suit

Runpod fits startups better than AWS Amplify.

AudienceAWS AmplifyRunpod
Startups7/10No seat fees and a 12-month free tier help early teams, but reports of surprise charges call for watching billing closely.9/10No-commitment, per-second GPU billing suits startups with bursty AI workloads and tight budgets.
Developers8/10Built for front-end and full-stack developers, with a TypeScript backend, framework libraries and Git-based CI/CD, though it takes AWS knowledge.9/10The platform is built for ML developers, with templates, SSH, an SDK and a CLI.
Enterprise7/10Compliance programs including SOC, PCI, ISO and HIPAA, WAF integration and IAM controls suit organisations standardised on AWS.6/10Enterprise contracts add a 99.99% SLA and compliance reports, but self-serve reliability is uneven.
SaaS Companies7/10Wildcard subdomains, Cognito auth and real-time AppSync data support multi-tenant SaaS apps on AWS.7/10Serverless inference endpoints that scale to zero suit AI-powered SaaS products.
FreelancersNot rated7/10Low community GPU rates appeal to individual builders.
Small Business4/10Setup and IAM complexity make it harder for non-technical small teams than simpler hosts.Not rated

Which One Should You Choose?

A
Why choose AWS Amplify

  • Has a free plan (Runpod does not)
  • Higher Integration score (9/10 vs 6/10)
  • Higher Reliability score (8/10 vs 5/10)

Runpod logo
Why choose Runpod

  • Higher Ease of Use score (7/10 vs 5/10)
  • Higher Cost score (8/10 vs 7/10)
  • Better fit for startups (9/10 vs 7/10)

Pros & Cons

A
AWS Amplify

Pros

  • No per-seat fees: team access is free and you pay only for builds, storage, transfer and SSR usage.
  • Gen 2 lets developers define Cognito auth, AppSync and DynamoDB data and Lambda functions in TypeScript, then extend them with any AWS resource through the CDK.
  • Git branches map to environments, pull requests can get preview deployments, and deployments are atomic.
  • AWS publishes a 99.95% monthly uptime SLA with tiered service credits.
  • Amplify is in scope for SOC, PCI, ISO, HIPAA, HITRUST and other AWS compliance programs, and integrates with AWS WAF.

Cons

  • Reviewers on G2 and Capterra say the learning curve is steep and debugging complex apps is hard.
  • Comparison articles say IAM setup and configuration are much heavier than on Vercel or Netlify.
  • Next.js support has documented gaps: no on-demand ISR, no Edge API routes, a 5.72 MB response size cap and a 220 MB build output limit for SSR apps.
  • Bills spread across many AWS services are hard to predict, and some users report unexpected charges from resources left running.
  • Some reviewers find Gen 2 restrictive when an app strays from its expected path, and the Gen 1 versus Gen 2 split confuses them.

Runpod logo
Runpod

Pros

  • Per-second billing with no ingress or egress fees keeps short experiments cheap.
  • Community Cloud GPUs cost far less than hyperscalers, for example an RTX 4090 at $0.34 per hour.
  • Serverless endpoints scale to zero, so spiky inference traffic costs nothing when idle.
  • A wide catalogue of more than 30 GPU models, including B200 and B300, across 31 regions.
  • Secure Cloud is backed by SOC 2 Type II and ISO 27001 compliance.

Cons

  • Community Cloud machines can drop out mid-job, and some users report pods that crash while billing continues.
  • GPU availability fluctuates, and listed GPUs can disappear before you launch.
  • Standard accounts have no published support response times or uptime SLA, and the SLA is limited to enterprise contracts.
  • Stopped pods pay double for volume disk, and deposited credits are non-refundable.
  • Serverless assumes Docker knowledge, and network volumes are tied to a single region.

Not sold on either?

Frequently Asked Questions

AWS Amplify scores higher on our Hosting & Infrastructure criteria: 7.2/10 against 6.4/10 for Runpod. The largest gap is in Integration: 9/10 for AWS Amplify and 6/10 for Runpod.

AWS Amplify has a free plan; Runpod does not list one.

Runpod is the better fit for startups: we rate it 9/10 for them, against 7/10 for AWS Amplify.

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