Amazon Personalize vs Recombee
Amazon Personalize
aws.amazon.com
Recombee
recombee.comSide by side
| Figure | Amazon Personalize | Recombee |
|---|---|---|
| Price from | $0.05/mo | $99/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Plans published | 4 | 4 |
| Spec score · Product Search and Discovery Software | 9.3 (#2) | 8.7 (#3) |
| Spec score · Personalization Software | 9.3 (#2) | 8.8 (#4) |
| Spec score · Recommender Systems | 9.3 (#2) | 8.8 (#4) |
| Business rules | Filters and promotion rules can exclude items, enforce business constraints, and control the proportion of promoted content. | Filters, boosters and constraints can be configured in scenarios or expressed with Recombee Query Language. |
| Documentation depth | The developer guide covers preparation, schemas, recipes, training, deployment, batch jobs, filtering, troubleshooting, IAM, VPC endpoints, quotas, and API operations. | The documentation includes getting-started guides, SDK examples, API reference, authentication, integrations, regions and an AI-assistant integration guide. |
| Founded | 2019 | 2015 |
| Integrations | Documented integrations include S3, SageMaker AI Data Wrangler, AWS Amplify, OpenSearch, Amplitude, Braze, Optimizely, Segment, CloudWatch Evidently, and LangChain. | Documented third-party integrations include Segment, Keboola, Shoptet Google Tag Manager and Heureka XML feeds. |
| Personalized search | The OpenSearch Search Ranking plugin can re-rank results using user interests, context, and prior interactions in real time. | Its search combines full-text matching with machine-learning signals from user interactions. |
| Rating on G2 | 4.3 out of 5 from 34 reviews | 4.6 out of 5 from 23 reviews |
| Rating on Gartner Peer Insights | 4.3 out of 5 from 15 ratings | 5.0 out of 5 from 1 rating |
| Rating on GetApp | 0 out of 5 from 0 reviews | 4.7 out of 5 from 13 reviews |
| What it does | Amazon Personalize is a fully managed machine-learning service that trains private recommendation models from customer data and serves item recommendations or user segments. | Recombee is a cloud recommendation-as-a-service platform for personalized content, product and search recommendations. |
Plans
Amazon Personalize
- AWS Free TierFree
- v2 recipe usage$0.05 a month
- Custom recommendation solutions$0.24 a month
- Amazon Personalize pay-as-you-goPrice not published
In their own words
Amazon Personalize
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 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.
Recombee
Recombee is a real-time recommendation engine and personalized search service for digital products and experiences. Its recommendations respond to user interactions and catalog changes, and personalized semantic search is included. Customers can shape results and business rules with scenario settings, filters, boosters, constraints and ReQL. The Admin UI offers customizable reports and insights into interactions with recommendations and the platform. Developer options include a REST API, SDK clients in multiple programming languages, catalog feeds and no-code widgets. Official plugins are listed for Keboola and Segment; community plugins include WordPress, Drupal, Laravel, Kentico, Kentico Kontent and n8n. The product targets industries including e-commerce, video, news and media, music and podcasts, real estate, marketplaces, travel and recruitment. Pricing includes a free plan and an unlimited 30-day trial. The free tier limits monthly interactions and recommendation requests to fewer than 100,000 each, active users to fewer than 20,000, and catalog items to fewer than 20,000. Standard starts at $99 a month. Founded in 2015, the company is headquartered in Prague, Czech Republic.