Zingg
Zingg Labs, Inc. offers an open source Python-based identity resolution platform that integrates natively with major cloud data platforms like Databricks, Snowflake, BigQuery, Redshift, AWS Glue, GCP, and Fabric. Their AI-driven entity resolution technology enables scalable, accurate data deduplication, identity matching, and unified customer views without data copying. Key features include Zingg ID for persistent unique identifiers, incremental updates to identity graphs, deterministic and fuzzy matching including nicknames and company name matching, and auto data transformation. The company targets enterprises needing customer 360, supplier 360, master data management, and compliance solutions such as GDPR and CCPA. Zingg is trusted by global data leaders and integrates deeply with modern data stacks, emphasizing data ownership and scalability to millions of records. Their open source approach fosters community collaboration and continuous innovation in identity resolution.
Zingg
Zingg Labs, Inc. offers an open source Python-based identity resolution platform that integrates natively with major cloud data platforms like Databricks, Snowflake, BigQuery, Redshift, AWS Glue, GCP, and Fabric. Their AI-driven entity resolution technology enables scalable, accurate data deduplication, identity matching, and unified customer views without data copying. Key features include Zingg ID for persistent unique identifiers, incremental updates to identity graphs, deterministic and fuzzy matching including nicknames and company name matching, and auto data transformation. The company targets enterprises needing customer 360, supplier 360, master data management, and compliance solutions such as GDPR and CCPA. Zingg is trusted by global data leaders and integrates deeply with modern data stacks, emphasizing data ownership and scalability to millions of records. Their open source approach fosters community collaboration and continuous innovation in identity resolution.
TL;DR
Product: Open-source + enterprise identity/entity-resolution software for modern data platforms
Key feature: ZINGG_ID persistent identifier, deterministic and ML-assisted matching, incremental updates
Platform support: Native deployments on Databricks, Snowflake, BigQuery, Redshift, AWS Glue, Microsoft Fabric
Team size (approx.): 11 employees
Company Overview
Problem Domain
Entity/identity resolution, data deduplication, master data management for enterprise data stacks
Industry
Enterprise software / Data infrastructure
Tech Stack
Funding Track Record
Investor Signal
“Pravega Ventures listed as an investor on a company profile”