AWS Entity Resolution
Match duplicate records
Matches and links records that refer to the same entity (customer, product) scattered across many sources, using rules, ML models, or data providers, then assigns a unified ID.
- Cost$$ Medium
- Difficulty●●●●●
- Costs money when idle?No
- Serverless
Think of it asLike merging phone contacts: "Anh Nam", "Nguyễn Văn Nam" and "Nam KT" turn out to be the same person.
When to use it
✓ Use it when
You need to unify customer profiles from many systems with inconsistent data.
✗ Avoid it when
Data already has a clear common key and just needs a join → Glue / Athena.
Common uses
- Build a 360-degree customer profile
- Deduplicate CRM data
- Prepare data for Clean Rooms
What does it cost?
- Pricing model: Charged by the number of records processed in matching workflows.
