Semcasting Identity Graph
5.5#17 in identity resolution softwareAPI
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| Fact | Semcasting Identity Graph | Zingg |
|---|---|---|
| Headquarters | Semcasting lists its headquarters at 21 High Street, Suite 304, North Andover, Massachusetts 01845. | Lewes, Delaware, United States |
| Integrations | Semcasting lists integrations including Google Ads, LinkedIn, Meta/Instagram, Pinterest, Reddit, TikTok, LiveRamp, Roku, StackAdapt, and The Trade Desk, and says it has 40+ DSP integrations. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Intended users | The product is described for enterprise brands and first-party data owners, data companies, vertical marketing platforms, direct-to-consumer retailers, healthcare organizations, and banks and lenders. | The maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Matching | It uses deterministic matching rather than probabilistic modeling to resolve identifiers to a person or household profile. | It combines machine learning matching with rule based deterministic matching, which can use identifiers such as email, SSN, and passport ID. |
| Purpose | The product connects first-party customer data into persistent identity profiles for targeting, suppression, attribution, and personalization. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Support | Semcasting says its team responds to inquiries within one business day and provides sales contacts for pricing and onboarding. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
It is intended for enterprise brands and first-party data owners, as well as data companies, vertical marketing platforms, direct-to-consumer retailers, healthcare organizations, and banks and lenders. It may suit teams seeking identity matching and activation across multiple channels.
You want what its maker publishes above — check its page for the details.