Amazon Entity Resolution logo

Amazon Entity Resolution

Amazon Entity Resolution is a service that helps you match and link related records across multiple applications, channels, and data stores using machine learning and configurable matching techniques to identify and consolidate records that refer to the same entity.

1 APIs 5 Features
Amazon Web ServicesData IntegrationData MatchingEntity ResolutionMachine Learning

APIs

Amazon Entity Resolution API

API for creating and managing matching workflows, schema mappings, and ID mapping tables for matching and linking related records across data sources.

Features

ML-Based Matching

Use machine learning models to match records across disparate datasets

Rule-Based Matching

Configure deterministic matching rules for exact and fuzzy matching

ID Mapping

Create and manage identity graphs linking records across data sources

Schema Mapping

Map input data schemas to standardized formats for consistent matching

Third-Party Data Providers

Enrich records with data from LiveRamp, Unified ID 2.0, and others

Use Cases

Customer Data Unification

Create a single customer view by matching records across CRM, marketing, and transaction systems

Data Deduplication

Identify and remove duplicate records from databases and data lakes

Identity Resolution for Advertising

Link user identities across devices and channels for targeted advertising

Healthcare Record Matching

Match patient records across different healthcare providers and systems

Semantic Vocabularies

Amazon Entity Resolution Context

49 classes · 48 properties

JSON-LD

API Governance Rules

Amazon Entity Resolution API Rules

20 rules · 10 errors 9 warnings 1 info

SPECTRAL

Resources

🔗
PostmanWorkspace
PostmanWorkspace
🔗
ArazzoWorkflows
ArazzoWorkflows
🌐
Portal
Portal
🌐
DeveloperPortal
DeveloperPortal
🔗
Documentation
Documentation
📰
Blog
Blog
👥
GitHubOrganization
GitHubOrganization
🌐
Console
Console
📝
SignUp
SignUp
🔗
Login
Login
🟢
StatusPage
StatusPage
💬
Support
Support
💬
FAQ
FAQ
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
🔗
Compliance
Compliance
🔗
Security
Security
👥
YouTube
YouTube
👥
StackOverflow
StackOverflow
🔗
KnowledgeCenter
KnowledgeCenter
🔗
Contact
Contact
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary

Sources

Raw ↑
name: Amazon Entity Resolution
description: >-
  Amazon Entity Resolution is a service that helps you match and link related records across multiple applications,
  channels, and data stores using machine learning and configurable matching techniques to identify and consolidate
  records that refer to the same entity.
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
url: https://aws.amazon.com/entity-resolution/
created: '2024-01-15'
modified: '2026-05-19'
specificationVersion: '0.19'
tags:
  - Amazon Web Services
  - AWS
  - Data Integration
  - Data Matching
  - Entity Resolution
  - Machine Learning
apis:
  - name: Amazon Entity Resolution API
    description: >-
      API for creating and managing matching workflows, schema mappings, and ID mapping tables for matching and linking
      related records across data sources.
    humanURL: https://aws.amazon.com/entity-resolution/
    baseURL: https://entityresolution.amazonaws.com
    tags:
      - Data Integration
      - Data Matching
      - Entity Resolution
      - Machine Learning
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/entityresolution/latest/userguide/
      - type: OpenAPI
        url: openapi/amazon-entity-resolution-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/entityresolution/latest/apireference/
      - type: GettingStarted
        url: https://aws.amazon.com/entity-resolution/getting-started/
      - type: Pricing
        url: https://aws.amazon.com/entity-resolution/pricing/
      - type: FAQ
        url: https://aws.amazon.com/entity-resolution/faqs/
      - type: JSONSchema
        url: json-schema/amazon-entity-resolution-access-denied-exception-schema.json
      - type: JSONSchema
        url: json-schema/amazon-entity-resolution-attribute-matching-model-schema.json
      - type: JSONSchema
        url: json-schema/amazon-entity-resolution-attribute-name-schema.json
      - type: JSONLD
        url: json-ld/amazon-entity-resolution-context.jsonld
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/amazon-entity-resolution/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/amazon-entity-resolution-audit-latest-job-workflow.yml
        name: Amazon Entity Resolution Audit Latest Matching Job
        summary: List the jobs for a workflow and pull the full status and metrics of the most recent one.
      - url: arazzo/amazon-entity-resolution-provision-workflow-workflow.yml
        name: Amazon Entity Resolution Provision Matching Workflow
        summary: Register a schema mapping and create a matching workflow that references it.
      - url: arazzo/amazon-entity-resolution-resolve-record-match-id-workflow.yml
        name: Amazon Entity Resolution Resolve Record Match ID
        summary: Confirm a processed workflow exists, then look up the Match ID for a single customer record.
      - url: arazzo/amazon-entity-resolution-run-matching-pipeline-workflow.yml
        name: Amazon Entity Resolution Run Matching Pipeline
        summary: Stand up a schema mapping and matching workflow, start a job, and poll it to completion.
      - url: arazzo/amazon-entity-resolution-start-and-await-job-workflow.yml
        name: Amazon Entity Resolution Start And Await Matching Job
        summary: Start a matching job on an existing workflow and poll until it reaches a terminal status.
      - url: arazzo/amazon-entity-resolution-update-and-rerun-workflow.yml
        name: Amazon Entity Resolution Update And Rerun Matching Workflow
        summary: Update an existing matching workflow's configuration, then start a fresh job and poll it.
  - type: Portal
    url: https://aws.amazon.com/
  - type: DeveloperPortal
    url: https://aws.amazon.com/entity-resolution/
  - type: Documentation
    url: https://docs.aws.amazon.com/entity-resolution/
  - type: Blog
    url: https://aws.amazon.com/blogs/
  - type: GitHubOrganization
    url: https://github.com/aws
  - type: Console
    url: https://console.aws.amazon.com/entityresolution/
  - type: SignUp
    url: https://portal.aws.amazon.com/billing/signup
  - type: Login
    url: https://signin.aws.amazon.com/
  - type: StatusPage
    url: https://health.aws.amazon.com/health/status
  - type: Support
    url: https://aws.amazon.com/support/
  - type: FAQ
    url: https://aws.amazon.com/entity-resolution/faqs/
  - type: TermsOfService
    url: https://aws.amazon.com/service-terms/
  - type: PrivacyPolicy
    url: https://aws.amazon.com/privacy/
  - type: Compliance
    url: https://aws.amazon.com/compliance/
  - type: Security
    url: https://aws.amazon.com/security/
  - type: YouTube
    url: https://www.youtube.com/user/AmazonWebServices
  - type: StackOverflow
    url: https://stackoverflow.com/questions/tagged/entity-resolution
  - type: KnowledgeCenter
    url: https://repost.aws/knowledge-center
  - type: Contact
    url: https://aws.amazon.com/contact-us/
  - type: SpectralRules
    url: rules/amazon-entity-resolution-spectral-rules.yml
  - type: Vocabulary
    url: vocabulary/amazon-entity-resolution-vocabulary.yaml
  - type: Features
    data:
      - name: ML-Based Matching
        description: Use machine learning models to match records across disparate datasets
      - name: Rule-Based Matching
        description: Configure deterministic matching rules for exact and fuzzy matching
      - name: ID Mapping
        description: Create and manage identity graphs linking records across data sources
      - name: Schema Mapping
        description: Map input data schemas to standardized formats for consistent matching
      - name: Third-Party Data Providers
        description: Enrich records with data from LiveRamp, Unified ID 2.0, and others
  - type: UseCases
    data:
      - name: Customer Data Unification
        description: Create a single customer view by matching records across CRM, marketing, and transaction systems
      - name: Data Deduplication
        description: Identify and remove duplicate records from databases and data lakes
      - name: Identity Resolution for Advertising
        description: Link user identities across devices and channels for targeted advertising
      - name: Healthcare Record Matching
        description: Match patient records across different healthcare providers and systems
  - type: Integrations
    data:
      - name: AWS Glue
        description: Use Glue Data Catalog to discover and access input data sources
      - name: Amazon S3
        description: Store matching job input and output data in S3
      - name: Amazon Athena
        description: Query matching results using Athena SQL
      - name: LiveRamp
        description: Access LiveRamp identity data through the third-party provider integration
  - type: Integrations
    url: https://aws.amazon.com/marketplace
integrations:
  - name: Sign in
  - name: Agent Mode
  - name: Why AWS Marketplace?
  - name: Get started in AWS Marketplace
  - name: Industry
  - name: Resources
  - name: Become a Channel Partner
  - name: Sell in AWS Marketplace
  - name: Manage Your Account
maintainers:
  - FN: Kin Lane
    email: [email protected]