Amazon Personalize

iPhone + Android

  • Recognised40% of the score20
  • Phone app26% of the score100
  • Documented20% of the score90
  • Free plan14% of the score100
Free plan
Yes
Runs on
Android, api, iPhone, Web

Summary

Amazon Personalize is a managed machine-learning service that uses customer data to produce item recommendations and user segments. Its recommendation options include user personalization, personalized ranking, similar items, personalized search, user segmentation, Trending Now and Next Best Action. It supports both real-time recommendations and batch workflows. The user-personalization recipe can be trained on up to 3 billion interactions and 5 million unique items. Inference APIs include getRecommendations and getPersonalizedRanking, and a search-ranking plugin works with OpenSearch v2.9 and above to personalize results in real time. Listed integrations include Amazon S3, SageMaker AI Data Wrangler, AWS Amplify, CloudWatch and CloudTrail, alongside Amplitude, Braze, Optimizely and Segment. AWS says data is encrypted and models are unique to each customer account, not shared with other AWS accounts or Amazon business units. The free tier applies to the first two months of usage and has monthly allowances for data processing, interactions, training and real-time requests. Pay-as-you-go pricing has no minimum fees or upfront commitments; listed rates include $0.05/GB for v2 data ingestion, $0.002 per 1,000 interactions for v2 training and $0.15 per 1,000 v2 inference requests.

Who it is for

It suits teams seeking to generate recommendations or user segments from customer data for web and app channels. Its real-time and batch options support both immediate recommendations and bulk workflows.

What is good

  • Supports real-time and batch recommendations.
  • Includes multiple recommendation types.
  • Provides inference APIs.
  • Models are not shared across AWS accounts.
  • Free tier covers the first two months.

What to know first

  • Free tier is limited to the first two months.
  • Pay-as-you-go rates vary by usage type.
  • The user-personalization recipe has stated training limits.

Verdict

Amazon Personalize offers several recommendation approaches, real-time and batch delivery, and APIs for inference. The free tier is time-limited, and ongoing pay-as-you-go charges depend on usage.

Amazon Personalize plans and pricing

All plans
AWS Free Tier Free first two months of usage Up to 20 GB data processing/storage per month · up to 5 million interactions per month for User-Personalization-v2 and Personalized-Ranking-v2 · up to 100 training hours per month for other Custom Recommendation Solutions · up to 50,000 real-time recommendation requests per month for v2 recipes · up to 180,000 real-time recommendation requests per month for other Custom Recommendation Solutions aws.amazon.com · 1 Oct 2026
Amazon Personalize pay-as-you-go Not published pay only for what you use; no minimum fees or upfront commitments v2 data ingestion $0.05/GB · v2 training $0.002 per 1,000 interactions · v2 inference $0.15 per 1,000 recommendation requests · custom-solution training $0.24 per training hour · custom-solution real-time inference $0.0556 per 1,000 requests for first 72 million monthly requests aws.amazon.com · 1 Oct 2026

Compared on website personalization software

Free plan
Noaws.amazon.com
Experimentation
Noaws.amazon.com

Facts

What it does
Amazon Personalize is a fully managed machine learning service that uses customer data to generate item recommendations and user segments.docs.aws.amazon.com · 1 Oct 2026
Recommendation types
The service supports user personalization, personalized ranking, similar items, personalized search, user segmentation, Trending Now, and Next Best Action.aws.amazon.com · 1 Oct 2026
Real-time and batch
Amazon Personalize supports both real-time recommendations and batch recommendations for bulk workflows.aws.amazon.com · 1 Oct 2026
Scale limit
The user-personalization recipe can be trained on up to 3 billion interactions and 5 million unique items.aws.amazon.com · 1 Oct 2026
Search integration
The Amazon Personalize Search Ranking plugin integrates with OpenSearch v2.9 and above to personalize search results in real time.aws.amazon.com · 1 Oct 2026
AWS integrations
Amazon Personalize integrates with Amazon SageMaker AI Data Wrangler, AWS Amplify, Amazon S3, Amazon CloudWatch, and AWS CloudTrail.docs.aws.amazon.com · 1 Oct 2026
Third-party integrations
AWS lists integrations or partner services including Amplitude, Braze, Optimizely, and Segment.docs.aws.amazon.com · 1 Oct 2026
Inference APIs
The service provides getRecommendations and getPersonalizedRanking inference APIs.aws.amazon.com · 1 Oct 2026
Security
Amazon Personalize encrypts data and supports AWS Identity and Access Management, CloudWatch monitoring, CloudTrail logging, and VPC endpoints through AWS PrivateLink.docs.aws.amazon.com · 1 Oct 2026
Compliance
Third-party auditors assess Amazon Personalize under AWS compliance programs including SOC, PCI, and HIPAA.docs.aws.amazon.com · 1 Oct 2026
Data privacy
Amazon Personalize models are unique to each customer account and are not shared with other AWS accounts or Amazon business units.aws.amazon.com · 1 Oct 2026
Partner support
AWS Personalize Partners assist with data preparation, model optimization, and end-to-end solutions, and are qualified to deliver a proof of concept in four days or less.aws.amazon.com · 1 Oct 2026

Company

Founded
2019aws.amazon.com · 28 Sept 2026

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