Tech riderRev. 1 Oct 2026

Amazon Personalize

Ch 047.6of 31 Website Personalization Software

1Runs onAndroid, API, iOS, Web
2CostsFree plan · free trial
3ExperimentationNo

3 lines stated Written from the maker's own pages: aws.amazon.com

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Overview

Amazon Personalize is a managed machine-learning service that uses customer data to create item recommendations and user segments. It supports personalized recommendations, ranked results, similar items, personalized search, user segmentation, Trending Now, and Next Best Action. Recommendations can be returned in real time or prepared in batches for bulk workflows. Its user-personalization recipe supports training on up to 3 billion interactions and 5 million unique items. Inference is available through the getRecommendations and getPersonalizedRanking APIs; an OpenSearch v2.9-and-later plugin personalizes search results in real time. Integrations include Amazon S3, SageMaker AI Data Wrangler, AWS Amplify, CloudWatch, CloudTrail, Amplitude, Braze, Optimizely, and Segment. AWS states that data is encrypted and each customer account’s models remain separate. The service is available on Android, iOS, web, and through an API. The AWS Free Tier is $0.00 USD per free for the first two months of usage; pay-as-you-go has no minimum fees or upfront commitments, with specific rates varying by usage.

Who it is for

It suits teams building personalized recommendations or search into web and app experiences, especially those needing real-time and batch options. The listed integrations may suit teams already using AWS or the named partner services.

What is good

Supports real-time and batch recommendations.
Offers seven recommendation and segmentation types.
User-personalization training supports up to 3 billion interactions.
Models are unique to each customer account.
Free tier available for the first two months.

What to know first

Pay-as-you-go rates depend on usage.
Experimentation and web experimentation are not offered.
No visual editor is listed.

Verdict

Amazon Personalize covers several recommendation tasks, with both real-time and batch delivery and a broad integration list. The free tier has a stated two-month period, while ongoing usage is pay-as-you-go.

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