# Amazon Personalize vs TensorFlow Recommenders

**Leader by vioscaleAI score:** Amazon Personalize

| Attribute | Amazon Personalize | TensorFlow Recommenders |
|---|---|---|
| **vioscaleAI score** | 54.5 (55% (medium)) | 43.6 (33% (low)) |
| activity.commits_last_30d | - | 2 |
| adoption.dependent_repos | - | 32 |
| adoption.github_stars | - | 2,036 |
| content.faq | `[{"answer":"Amazon Bedrock offers token-based inference access to foundation models from Anthropic, Meta, Mistral AI, and Amazon, with built-in knowledge bases, data automation, and prompt optimization features. Supports multiple inference tiers with automatic scaling and regional availability. It is indexed under Recommendation Engines.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"What is Amazon Personalize?","confidence":0.6},{"answer":"Amazon Personalize offers a free tier, so you can start without paying. Paid plans are also available: Standard, Flex, Priority and Reserved. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"Is Amazon Personalize free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Amazon Personalize. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"What platforms does Amazon Personalize support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Amazon Personalize, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"Can Amazon Personalize be self-hosted?","confidence":0.6},{"answer":"We have confirmed 16 integrations for Amazon Personalize, including OpenSearch, Amazon Bedrock, LangChain, S3, SharePoint, Confluence, Asana and Brave Search API, plus 8 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://aws.amazon.com/bedrock/pricing/?nc2=h_pr_br","question":"What does Amazon Personalize integrate with?","confidence":0.6},{"answer":"We have independently confirmed HIPAA and GDPR for Amazon Personalize. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon Personalize not holding them. Always confirm compliance directly before you rely on it.","source":"https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp","question":"What security certifications does Amazon Personalize have?","confidence":0.7}]` | `[{"answer":"TensorFlow Recommenders is a library for constructing recommender systems that handles the complete workflow from data preparation through model evaluation and deployment, built on Keras. It is indexed under Recommendation Engines.","source":"https://www.tensorflow.org/recommenders","question":"What is TensorFlow Recommenders?","confidence":0.6},{"answer":"TensorFlow Recommenders is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://www.tensorflow.org/recommenders","question":"Is TensorFlow Recommenders free to use?","confidence":0.6},{"answer":"Yes. TensorFlow Recommenders is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/tensorflow/recommenders","question":"Is TensorFlow Recommenders open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | - |
| description.long | A fully managed cloud service that generates real-time, personalized recommendations for e-commerce, media, and applications by analyzing user interactions and adapting dynamically to changing engagement patterns. | TensorFlow Recommenders is a library for constructing recommender systems that handles the complete workflow from data preparation through model evaluation and deployment, built on Keras. |
| features.capabilities | `{"realtime_serving":true,"realtime_ingestion":true,"cold_start_handling":true}` | `{"open_source":true}` |
| integrations.count | 13 | - |
| integrations.list | `[{"name":"OpenSearch"},{"name":"Amazon Bedrock"},{"name":"LangChain"},{"name":"S3","native":true,"category":"storage","direction":"inbound"},{"name":"SharePoint","native":false,"direction":"inbound"},{"name":"Confluence","native":false,"direction":"inbound"},{"name":"Asana","native":true,"category":"productivity","direction":"bidirectional"},{"name":"Brave Search API","native":false,"category":"search"},{"name":"Tailscale","native":false,"category":"networking"},{"name":"Orca Security CNAPP","native":false,"category":"security"},{"name":"Okta","native":false,"category":"identity"},{"name":"Cast AI","native":false,"category":"devops"},{"name":"LucidLink","native":false,"category":"storage"},{"name":"Vanta","native":false,"category":"security"},{"name":"Vonage","native":false,"category":"communications"},{"name":"Epsagon","native":false,"category":"monitoring"},{"name":"Amazon S3","native":true,"category":"storage","direction":"inbound"}]` | - |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | - |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"Pay-As-You-Go","summary":"$0.05/GB for data ingestion, $0.15 per 1,000 recommendation requests. Free tier available.","features":["Real-time personalization","Batch recommendations","User segmentation","Item affinity analysis","Dynamic filtering","Text analysis on unstructured content","OpenSearch integration","LangChain integration","Item metadata enrichment"],"components":[{"per":{"qty":1,"unit":"GB"},"kind":"metered","amount":0.05,"currency":"USD"},{"per":{"qty":1000,"unit":"requests"},"kind":"metered","amount":0.15,"currency":"USD"}],"description":"Usage-based pricing for recommendations and data ingestion with monthly free tier limits","contactSales":false,"includedLimits":{"free_tier_data_ingestion":"20 GB/month","free_tier_training_hours":"100/month","free_tier_realtime_requests_other":"180,000/month","free_tier_interactions_user_personalization_v2":"5 million/month","free_tier_realtime_requests_user_personalization_v2":"50,000/month"}}],"addOns":[{"name":"Item Metadata Enrichment","components":[{"per":{"qty":1000,"unit":"requests"},"kind":"metered","amount":0.0167,"currency":"USD"}]}],"summary":"Usage-based: $0.05/GB ingestion + $0.15 per 1,000 requests. Free tier with monthly limits.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/personalize/pricing/","retrievedAt":"2026-09-28T13:49:25.016Z","startingPrice":{"unit":"GB","amount":0.05,"currency":"USD"}}` | `{"type":"open_source","sourceUrl":"https://www.tensorflow.org/recommenders","retrievedAt":"2026-09-14T15:34:46.668Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.starting_price | `{"amount":0.05,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 33 |
| release.history | - | `[{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.7","date":"2026-01-23T01:29:41Z","type":"stable","version":"v0.7.7"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.6","date":"2026-01-07T22:14:09Z","type":"stable","version":"v0.7.6"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.5","date":"2025-11-25T23:45:32Z","type":"stable","version":"v0.7.5"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.4","date":"2025-11-10T18:56:52Z","type":"stable","version":"v0.7.4"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.3","date":"2023-02-03T02:08:24Z","type":"stable","version":"v0.7.3"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.2","date":"2022-09-28T22:56:14Z","type":"stable","version":"v0.7.2"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.1","date":"2022-07-12T23:32:26Z","type":"stable","version":"v0.7.1"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.7.0","date":"2022-07-12T16:40:05Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.6.0","date":"2021-08-23T23:20:47Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.5.2","date":"2021-07-16T21:22:22Z","type":"stable","version":"v0.5.2"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.5.1","date":"2021-05-17T16:31:38Z","type":"stable","version":"v0.5.1"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.5.0","date":"2021-05-07T17:47:08Z","type":"stable","version":"v0.5.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.4.0","date":"2021-01-20T22:51:14Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.3.2","date":"2020-12-22T19:21:09Z","type":"stable","version":"v0.3.2"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.3.1","date":"2020-12-22T18:48:27Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.3.0","date":"2020-11-19T01:39:42Z","type":"stable","version":"v0.3.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.2.0","date":"2020-10-15T20:06:55Z","type":"stable","version":"v0.2.0"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.1.3","date":"2020-09-22T21:54:59Z","type":"stable","version":"v0.1.3"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.1.2","date":"2020-09-17T17:20:15Z","type":"stable","version":"v0.1.2"},{"url":"https://github.com/tensorflow/recommenders/releases/tag/v0.1.1","date":"2020-09-17T00:54:15Z","type":"stable","version":"v0.1.1"}]` |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 4 |
| security.trust_center | https://aws.amazon.com/compliance/ | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=tensorflow-recommenders&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Recommendation Engines)

| Capability | Amazon Personalize | TensorFlow Recommenders |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Realtime serving | ✓ | - |
| Realtime ingestion | ✓ | - |
| Cold start handling | ✓ | - |
| Explainability | - | - |
| Built in ab testing | - | - |
| Open source | - | ✓ |
| SOC2 | - | - |
| Multi tenant isolation | - | - |

*Source: vioscaleAI. Generated 2026-10-16T19:04:33.558Z. "-" = undocumented, not absent.*