Amazon Personalize

B tier on Website Personalization SoftwareScore 7.1 · #4 of 31

Android app: Yes
Free plan: Yes
Runs on: Android, api, iOS, Web

aws.amazon.com

Summary

Amazon Personalize is a managed machine learning service that uses customer data to generate item recommendations and user segments. Its 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 is available through the getRecommendations and getPersonalizedRanking APIs. A search-ranking plugin integrates with OpenSearch v2.9 and above to personalize search results in real time. Listed AWS integrations include SageMaker AI Data Wrangler, Amplify, S3, CloudWatch, and CloudTrail; partner services include Amplitude, Braze, Optimizely, and Segment. AWS says data is encrypted and models are unique to each customer account rather than shared with other AWS accounts or Amazon business units. A free tier is available for the first two months of usage, with monthly allowances for data processing, interactions, training, and real-time requests. Pay-as-you-go pricing has no minimum fees or upfront commitments.

Who it is for

It may suit app and web teams that want personalized recommendations or user segments from customer data. It also supports teams needing real-time recommendations, bulk batch workflows, or personalized search results through OpenSearch.

What is good

Offers real-time and batch recommendations
Supports seven recommendation and segmentation types
Integrates with OpenSearch v2.9 and above
Models are unique to each customer account

What to know first

Free tier lasts for the first two months of usage
Pay-as-you-go rates are not fully listed
No web experimentation is listed

Verdict

Amazon Personalize covers several recommendation and segmentation workflows, with both real-time and batch delivery. Review the free-tier allowances and pay-as-you-go rates for the workload you expect.

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