
Equifax Identity Matching
5.5#14 in identity resolution softwareAPI
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| Fact | Equifax Identity Matching | Zingg |
|---|---|---|
| Headquarters | Atlanta, Georgia, United States | Lewes, Delaware, United States |
| Integrations | Batch services are supported through MFT integrations, and the listed cloud environments are Snowflake and Google Cloud Platform BigQuery. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Intended users | Equifax identifies financial services, telecommunications, utilities, and other consumer service providers as suitable industries. | The maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Purpose | Identity Matching identifies and links customer information across disconnected data sources, including when names or addresses vary. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
It suits financial services, telecommunications, utilities, and other consumer service providers that need to match customer records. Teams should be prepared to work with Equifax for live access and pricing.
You want what its maker publishes above — check its page for the details.