Analytics

AWS Entity Resolution

AWS Entity Resolution matches and links related records across datasets without sharing raw data. Find duplicate customer profiles, match patients across systems, or deduplicate product catalogs. Think of it like a detective who spots that "Bob Smith" in one database and "Robert J. Smith" in another are the same person.

What is Entity Resolution? (Simple Explanation)

Entity Resolution is an AWS service in the Analytics category. AWS Entity Resolution matches and links related records across datasets without sharing raw data.

When Would You Use Entity Resolution?

  • Customer data deduplication and matching
  • Patient identity resolution across healthcare systems
  • Fraud detection through entity linking
  • Product catalog deduplication
  • Cross-platform user identity matching

Who Uses Entity Resolution?

From startups to enterprises, Entity Resolution powers:

StartupsMid-size CompaniesLarge EnterprisesGovernmentNonprofits

What Makes Entity Resolution Powerful

ML-based and rule-based matching techniques
Privacy-first — no raw data sharing between providers
Pre-built workflows for common matching use cases
Customizable matching rules and thresholds
Clean Rooms integration for multi-party matching

Entity Resolution Pricing & Free Tier

Athena: $5/TB scanned. Glue: $0.44/DPU-hour. EMR: from $0.048/vCPU-hour. OpenSearch: from ~$0.028/hour.

Entity Resolution Best Practices

  1. 1Use Athena workgroups to separate query history and control costs per team
  2. 2Enable Glue Data Catalog encryption and resource-level IAM policies
  3. 3Use partition projection in Athena instead of MSCK REPAIR TABLE for faster queries
  4. 4Set query result location to an S3 bucket with lifecycle expiration (7 days)
  5. 5Monitor with CloudWatch — set alarms on query scan volume to avoid cost surprises

Getting Started with Entity Resolution in 5 Minutes

  1. 1Open the AWS Console and navigate to Entity Resolution
  2. 2Click "Create" or "Get started" to begin configuration
  3. 3Configure the required settings — name, region, and access permissions
  4. 4Review and create — monitor the initial status in CloudWatch

Entity Resolution CLI Quick Reference

2 production-ready commands. Full CLI Library (225+ services) →

aws entity-resolution helpView all Entity Resolution CLI v2 commands and subcommands
aws entity-resolution describe-entityresolution --helpView options for describing Entity Resolution resources

Pros & Cons of Entity Resolution

Pros

  • ML-based and rule-based matching techniques
  • Privacy-first — no raw data sharing between providers
  • Pre-built workflows for common matching use cases
  • Customizable matching rules and thresholds
  • Clean Rooms integration for multi-party matching

Cons

  • Per-TB pricing (Athena) penalizes ad-hoc exploration of large datasets
  • Real-time analytics can get expensive — Kinesis shard costs scale linearly
  • Cold start latency on serverless analytics (Athena, EMR Serverless) may not suit sub-second dashboards

Entity Resolution vs Alternatives

Entity Resolution vs Glue
Choose Entity Resolution when

Choose Entity Resolution for Customer data deduplication and matching and Patient identity resolution across healthcare systems. It excels at ml-based and rule-based matching techniques.

Choose Glue when

Choose Glue as an alternative when your requirements differ. Each service in the Analytics category serves different architectural patterns.

Services That Work with Entity Resolution

Entity Resolution is rarely used alone. It is typically combined with:

Compliance & Security

How AWS Entity Resolution fits into major compliance standards. Browse all 41 frameworks →

Frequently Asked Questions About Entity Resolution

What is AWS Entity Resolution?

AWS Entity Resolution matches and links related records across datasets without sharing raw data. Find duplicate customer profiles, match patients across systems, or deduplicate product catalogs. Think of it like a detective who spots that "Bob Smith" in one database and "Robert J. Smith" in another are the same person.

What is Entity Resolution used for?

Entity Resolution is commonly used for: Customer data deduplication and matching; Patient identity resolution across healthcare systems; Fraud detection through entity linking; Product catalog deduplication; Cross-platform user identity matching. It's a core service in the analytics category of AWS.

Is Entity Resolution free?

Athena: $5/TB scanned. Glue: $0.44/DPU-hour. EMR: from $0.048/vCPU-hour. OpenSearch: from ~$0.028/hour.

What are the key features of Entity Resolution?

Entity Resolution's most important capabilities include: ML-based and rule-based matching techniques. Privacy-first — no raw data sharing between providers. Pre-built workflows for common matching use cases. Customizable matching rules and thresholds. Clean Rooms integration for multi-party matching. Each of these is designed to help teams customer data deduplication and matching.

How does Entity Resolution compare to alternatives?

Entity Resolution competes with both AWS-native alternatives (Glue, Clean Rooms, S3) and third-party equivalents. The right choice depends on your specific requirements for scalability, cost, and operational overhead. See the comparisons section below for detailed guidance.

Which compliance frameworks apply to Entity Resolution?

CIS AWS v3.0: Entity Resolution configuration is audited by CIS Benchmarks v1.5–v3.0 for secure cloud defaults. NIST 800-53: Entity Resolution access controls, encryption, and audit logging map to NIST 800-53 AC, SC, and AU control families. PCI DSS 4.0: Entity Resolution encryption, access control, and logging support PCI DSS for cardholder data environments. SOC 2: Entity Resolution security, availability, and confidentiality controls evaluated under SOC 2 Trust Services Criteria. ISO 27001: Entity Resolution configuration and monitoring controls map to ISO 27001 Annex A information security management.

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