Composable Customer Data Platform

Data resolution pipeline for composable CDP using Zingg on Fabric

Choose the customer attributes you care about

By training on your data, Zingg AI provides complete flexibility to define and use the fields you want

Scale To Millions Of Records

Zingg Learns Not To Compare Records With Every Other Record Based On User Labels

Own your identity graph and leverage everywhere

The identity graph is persisted within your datalake or warehouse so you can use it for downstream applications

Hear How Data Teams Are Building Composable CDP With Zingg

We have these different data sources and we wanted to be able to match people, find the common records across different applications, find who belongs with whom and how. Zingg became the engine that powers our golden records and makes our composable data stack truly interoperable.

Shelomo Dobkin, Director of Product Development,
Orthodox Union

Understanding household and person relationships using entity resolution on Snowflake

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