AWS Entity Resolution

AWS Entity Resolution is a service for linking related customer, product, business, and healthcare records across data sources. It is best suited to teams working with AWS that need configurable matching or a lookup API. Its range of matching methods is useful, though per-record charges and provider licensing affect the economics.

Overview

The service brings records together across applications, channels, and data stores using rules, machine learning, or data provider identifiers. That range suits teams with different matching needs, but inputs come from AWS Glue and are capped at 20. Organizations consolidating more sources will need to account for that ceiling.

There is no AWS Free Tier for Entity Resolution. Rule-based and ML processing charges apply to every processed record, including records that find no match, so the volume sent through a workflow matters as much as the number of successful links.

Key features

Rules and machine learning

Rule-based matching lets teams adjust input fields, rule priority, and the rule set. That control is valuable when matching criteria need to reflect a particular business process. The preconfigured ML model focuses on consumer records, compares fields such as name, email, phone, address, and date of birth, and assigns each match group a confidence score from 0.0 to 1.0. It offers a ready-made scoring approach, though the published model scope is consumer records.

Incremental processing and API lookup

For rule-based matching, new data arriving in Amazon S3 can trigger automatic incremental processing. This can keep a rule-based workflow current without rerunning all input data. The GetMatchId API also returns an existing match ID synchronously from entity fields, making it suitable for applications that need a direct lookup. It hashes personally identifiable attributes for data protection.

Provider matching and protection

Matching with LiveRamp, TransUnion, and Unified ID 2.0 identifiers can connect records to provider identifiers, but requires a license agreement and may carry additional provider subscription costs. Personally identifiable data is encrypted at rest by default with AWS-owned keys; customer-managed symmetric AWS KMS keys are also supported. AWS states that the service complies with PCI DSS and SOC 1, SOC 2, and SOC 3 measures.

Pricing

The pricing model is paid, with a starting price note of From $0.10. The listed plan entries each show free, billed per 1,000 records processed; the AWS Free Tier is unavailable, so those plan amounts should not be read as a free allowance.

• Rule-based or ML-powered matching: billed per 1,000 records processed, with all records charged even when they produce no match. Pricing does not vary by AWS Region. This fits teams that can estimate and control processing volume.
• Data service provider matching: billed per 1,000 records processed and available in US East (Ohio), US East (N. Virginia), and US West (Oregon). A provider license or subscription is required, and provider subscription costs are additional. This is the option for teams that need provider identifiers and can meet those terms.

Since unmatched records count toward processing charges, teams should consider the expected input volume before choosing a workflow. Provider matching adds a separate licensing cost and is limited to the stated regions.

Platforms

Entity Resolution is accessible through the AWS console and API, and is categorized for web and API use. Related AWS services include Amazon S3, AWS Glue, AWS CloudTrail, CloudFormation, and AWS Clean Rooms. That makes it a natural fit for AWS-centered workflows; the documented integrations do not establish a comparable path for teams working outside that ecosystem.

Who it's for

Choose AWS Entity Resolution if your data is already in AWS Glue or Amazon S3 and you need rule-based or consumer-record ML matching, incremental S3 processing, or synchronous match-ID lookups. Provider matching is relevant when you have the required license and operate in one of its supported regions. Look elsewhere if you need a free tier, expect to process many unmatched records, or need more than 20 data inputs.

Pros and cons

• Pros: Three matching approaches cover configurable rules, consumer-record ML scoring, and provider identifiers.
• Pros: Rule-based workflows can process new S3 data incrementally, and GetMatchId provides synchronous lookups.
• Pros: At-rest encryption supports both AWS-owned keys and customer-managed symmetric KMS keys.
• Cons: There is no AWS Free Tier, and rule-based or ML charges include records without a match.
• Cons: Provider matching requires a license or subscription, with additional provider costs and regional limits.
• Cons: AWS Glue input is capped at 20 data inputs.

Alternatives

Tilores is worth considering if a local deployment with up to 100,000 records and no account or license key suits the job. DupeCatcher is an option for readers who want a free service with all features included across web and mobile. Entify offers a free, self-hosted or API-accessible open-source option, though uploads default to 100 MB and it holds one resolution result in memory at a time. Koalify has a free sandbox or demo tier, or a free portal below 10K records, for teams that fit those limits. Plauti Deduplicate has a free Salesforce version for readers working in that ecosystem. pyJedAI is a free self-hosted research project for readers seeking that kind of tool. Python Record Linkage Toolkit is free research software for small or medium files. Splink is another free, self-hosted Python package under the MIT license. For broader discovery, browse Data Deduplication Software or Identity Resolution Software.

Verdict

AWS Entity Resolution is a strong fit for teams already operating on AWS that need configurable matching, incremental rule-based processing, or API lookups. Its principal advantages are the choice of matching methods and integration with AWS data workflows. Choose another tool if a free starting point, broader input capacity, or provider matching without a separate license is essential.