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Amazon Web Services (AWS) vs PolyAI Comparison

Compare Amazon Web Services (AWS) vs PolyAI features, pricing, and more.

Last updated: November 2026

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

7.6/10

Winner

Amazon's public cloud platform, with over 200 pay-as-you-go services for compute, storage, databases, networking and AI, used by startups through large enterprises and governments.

PolyAI logo

PolyAI

7.1/10

PolyAI builds enterprise voice AI agents that answer and resolve customer service calls, with chat and messaging channels, for large contact centers.

Feature-by-Feature Comparison

Feature
Amazon Web Services (AWS) logo
Amazon Web Services (AWS)
PolyAI logo
PolyAI
Scores
Overall Rating7.6/107.1/10
Integration10/108/10
Analytics8/106/10
Customization10/108/10
Ease of Use4/106/10
Support6/108/10
Cost5/103/10
Scalability10/109/10
Security9/109/10
Output QualityNot listed9/10
Pricing
Free planYesNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersFree
Free plan
Contact for pricing
Features
API and CLINot listed
Managed DatabasesNot listed
Multiple RegionsNot listed
Object StorageNot listed
Uptime SLANot listed
Serverless FunctionsNot listed
Managed KubernetesNot listed
VPS HostingNot listed
Cloud ComputeNot listed
Content Delivery NetworkNot listed
AI AgentsNot listed
ChatbotsNot listed
Voice and AudioNot listed
TranscriptionNot listed
Knowledge Base SearchNot listed
API AccessNot listed
Workflow AutomationNot listed
Enterprise ControlsNot listed

Which One Should You Choose?

Amazon Web Services (AWS) logo
Why choose Amazon Web Services (AWS)

  • Has a free plan (PolyAI does not)
  • Higher Integration score (10/10 vs 8/10)
  • Higher Analytics score (8/10 vs 6/10)
  • Better fit for developers (9/10 vs 5/10)
  • Better fit for startups (8/10 vs 4/10)

PolyAI logo
Why choose PolyAI

  • Higher Ease of Use score (6/10 vs 4/10)
  • Higher Support score (8/10 vs 6/10)

Pros & Cons

Amazon Web Services (AWS) logo
Amazon Web Services (AWS)

Pros

  • The service catalogue is unusually broad, with over 200 services across 38 regions, so most infrastructure needs can be met on one platform.
  • EC2 has a 99.99% region-level SLA with credits of up to 100%, and instances unavailable for more than six minutes in an hour are not billed for that hour.
  • The free plan gives up to $200 in credits, and more than 30 always-free services let new teams experiment at low cost.
  • Support scales from a $29 minimum up to dedicated Enterprise and Unified Operations tiers for mission-critical workloads.
  • G2 rates it 4.4 across more than 17,000 reviews, and reviewers praise its scalability and global reach.

Cons

  • Reviewers widely cite a steep learning curve across the console and services.
  • Usage pricing is complex and can produce unexpected bills unless spend is monitored closely.
  • Paid support is billed as a percentage of total AWS spend, so support costs rise with usage.
  • A July 2025 billing console bug showed customers estimated charges in the billions, which hurt trust in its cost tooling.

PolyAI logo
PolyAI

Pros

  • Reviewers repeatedly praise its natural-sounding voices and its handling of interruptions and topic changes in multi-turn calls.
  • PolyAI claims around 90% end-to-end call resolution on its largest deployments and 99.994% trailing uptime.
  • Compliance is strong for regulated industries: SOC 2 Type 2, ISO 27001, PCI DSS, GDPR, and US, UK, EU and APAC data residency.
  • Managed pricing bundles maintenance, model upgrades, integrations and 24/7 support.
  • One agent can serve voice, SMS, WhatsApp, web chat and email.
  • G2 reviewers describe support as responsive during implementation.

Cons

  • The platform has no public price, so buyers must go through a sales-led quote.
  • Some users report occasional lag or slow responses.
  • Reviewers want deeper voice analytics and reporting.
  • It can struggle with complex or unusual interactions.
  • It relies on underlying telephony providers rather than bundling a full phone system.
  • It is oriented toward large enterprises, which makes it a poor fit for small teams.

Not sold on either?

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