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Amazon Personalize

Managed service that builds personalized product and content recommendations from user activity data.

by Amazon Web ServicesOfficial site ↗
Pricing
usage
Free tier
false
License
proprietary
Open source
No

Editorial review

Amazon Personalize has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

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Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native)
recommendation engine, personalization, machine learning, managed service, real-timeVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance)
SaaS, managed-cloudVerification pending

Pricing · Licensing

Free plan(true/false)
falseVerification pending
Free trial(true/false)
trueVerification pending
License model(proprietary;open-source;source-available;dual-license)
proprietaryVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom)
usageVerified

Features · Product · Fit

Core capabilities(authoring;automation;analytics)
Real-time hyper-personalized recommendations across websites, apps, and marketing channels, Custom models trained on billions of your user interactions with millions of items, Fully managed recommendation engine infrastructure set up in hours, Recommendations that dynamically adapt to changing user behavior in real time, Customer segmentation and content variations with Amazon Bedrock integrationVerification pending

Api · Integrations · Ecosystem

API available(true/false)
trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary)
Teams adding real-time personalized recommendations to apps, streaming, retail, and marketing without building ML infrastructureVerification pending
Company-size fit(individual;SMB;mid-market;enterprise)
SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate)
Personalizing and ranking streaming recommendations, Highlighting trending retail products in real time, Ranking hotel and flight recommendations for travel content, Recommending in-app related items, services, and content, Generating personalized emails for marketing campaignsVerification pending
Skill level(beginner;intermediate;advanced;specialist)
advancedVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual)
commercialVerification pending

User reviews

Review policy

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