Configurable Resolution Workflows
Create and deploy rule-based or ML-powered entity resolution workflows with minute-level setup.
AWS Entity Resolution
Category: Identity Resolution
Company: Amazon Inc.
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AWS Entity Resolution helps customers easily match and link related records using flexible, configurable workflows that take minutes to set up.
Target Market: Both
Key Features
AI-generated feature reference from web research · Generated 2026-09-19; citations identify available source support and do not independently verify every claim.
Rule-Based Matching Engine
Define, reorder, prioritize, and customize ready-to-use matching rules including fuzzy and real-time options.
Preconfigured Machine Learning Matching
Use a built-in ML model to automatically identify and link matching records across diverse data inputs.
Data Service Provider Integrations
Connect to providers like LiveRamp, TransUnion, and UID 2.0 to enrich, translate, and generate identifiers.
Minimized Data Movement
Read and match records where they reside to reduce data transfer and help preserve data privacy.
Deduplication and Linking Tools
Detect and merge duplicate customer, product, or clinical records to produce unified canonical entities.
Cross-Domain Use Case Support
Apply resolution for marketing, ecommerce, supply chain, and clinical research scenarios without custom builds.
Near-Real-Time Matching
Perform matching operations in near-real-time to support timely personalization, analytics, and campaign workflows.
Website: https://aws.amazon.com/entity-resolution/
Frequently asked questions
What is AWS Entity Resolution?
AWS Entity Resolution is a managed service that helps match, link, and enhance related records (customer, product, business, or healthcare) across multiple applications and data stores using configurable rule-based and machine-learning techniques. It supports workflows that can be configured in minutes and can integrate with data service providers to enrich records while minimizing data movement by reading records where they reside.
Sources: https://aws.amazon.com/entity-resolution/, https://en.wikipedia.org/wiki/AWS%20Entity%20Resolution
What are its key features?
Key features include ready-to-use and customizable rule-based matching, a preconfigured machine-learning matching model, connectors to data service providers for enrichment (e.g., LiveRamp and TransUnion integrations), near–real-time and fuzzy matching options, and workflows designed to minimize data movement by reading records in place. The service also provides quick setup of resolution workflows to deduplicate records, create unified profiles, link product identifiers, and prepare data for analytics or model training.
Sources: https://aws.amazon.com/entity-resolution/, https://en.wikipedia.org/wiki/AWS%20Entity%20Resolution
Who are its primary competitors?
Primary competitors in the entity/identity resolution category include Acxiom, LiveRamp, Tilores, TransUnion TruAudience, Experian Consumer Sync, and Epsilon PeopleCloud as alternative providers offering identity matching, linkage, and enrichment capabilities.
Sources: https://aws.amazon.com/entity-resolution/, https://en.wikipedia.org/wiki/AWS%20Entity%20Resolution
What industries and types of companies often use AWS Entity Resolution?
Organizations across marketing, retail, healthcare, finance, and research often use AWS Entity Resolution to deduplicate records, build unified customer or product profiles, and link disparate datasets for analytics and personalization. The service targets both small-to-medium and enterprise organizations that need configurable, ML- and rule-based matching workflows and integration with data service providers.
Sources: https://aws.amazon.com/entity-resolution/, https://aws.amazon.com/smart-business/solutions/artificial-intelligence-small-medium-business/