AWS Entity Resolution
6.1#6 in identity resolution softwareFree planFree planWebAPI
VisitAWS Entity Resolution vs Zingg
What both publish
| Fact | AWS Entity Resolution | Zingg |
|---|---|---|
| Incremental processing | Automatic incremental processing is available for rule-based matching when new data arrives in Amazon S3. | Enterprise editions support incremental runs against previously matched data, and Enterprise also supports real time architecture. |
| Integrations | Documented related AWS services include Amazon S3, AWS Glue, AWS CloudTrail, CloudFormation, and AWS Clean Rooms. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Purpose | AWS Entity Resolution matches, links, and enhances related customer, product, business, or healthcare records across applications, channels, and data stores. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
AWS Entity Resolution plans
- Data service provider matchingFree
- Rule-based or ML-powered matchingFree
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
Pick AWS Entity Resolution if…
AWS Entity Resolution suits teams matching related records across data stores and applications, particularly those already using AWS Glue or Amazon S3. Provider matching is for users able to meet the provider license requirement.
Pick Zingg if…
You want what its maker publishes above — check its page for the details.