Sonal Goyal
Founder & CEOMore than two decades in data and software, ex E*Trade, Dresdner and Sapient. Previously on the Strata Data and AI program committee and a repeat speaker at Spark Summit, Strata and Data Con LA. IIT Delhi.
Our Mission
Every Data Platform Needs An Identity Layer. We're Building It.
Every Customer 360, every risk model and every AI agent depends on knowing which records are the same person, company or product. We build open source entity resolution that runs natively on the platform you already have, so every data team can answer that question.
1B+Records resolved every month
Top 10%PyPI package
1.2k+GitHub stars
900+Members on Slack
Why Zingg
A Problem We Kept Running Into
Zingg started with a project that failed, and a problem that would not go away.
- 2013
Three Systems, No Common ID
A consulting project needed customer records from three Oracle systems joined, with no shared identifier and no agreed definition of a customer. The tools on offer were expensive black boxes. A first attempt on 25,000 records crashed the machine.
- 2015
They Just Wanted It Solved
An events company found us through a Spark Summit talk. They were deduplicating customers by hand, in Chinese, Japanese and English. They did not care about the algorithm, only a repeatable way to get it right.
- 2020
The Stack Caught Up, The Problem Didn't
Snowflake and Databricks became where data lives, and analytics became a discipline of its own. Matching the same customer across five records in one table was still unsolved, so we wrote Zingg from scratch.
- 2021
Open Source, Built In Public
Zingg went open source because we fundamentally believe this is foundational work every data team needs. It has since been used for patient matching, anti-money laundering, supplier deduplication and fan identity.
What We Believe
How We Build Zingg
Open By Default
The core is open source, so anyone can inspect how a match was made, run it anywhere and take it further than we imagined.
Your Data Stays Home
Zingg runs natively on Databricks, Snowflake, Microsoft Fabric, BigQuery, AWS Glue and Redshift. Your records never leave your platform.
Solve The Problem, Not The Algorithm
Teams want golden records they can trust, with a repeatable process and IDs that stay put as data changes. That is what we optimize for.
Team
The People Building It
Lee Hammond
Product Evangelist & MarketingA marketing technology leader who modernizes martech stacks to unlock the full value of customer data, from technology audits and vendor strategy to data-led marketing transformation. Ex Universal Music Group.
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Padam Prakash
EngineeringBuilding next generation tooling for fuzzy matching at scale, for Zingg open source and enterprise customers. IIIT Hyderabad.
Chandan Yadav
EngineeringBuilding super fast and super accurate entity resolution. DTU.
Advisors
Guided By Data Builders
Vivek Vaidya
Founding Partner, super{set}Founding Partner of super{set}, a startup studio for data-driven software companies. Previously CTO of Salesforce Marketing Cloud after Salesforce acquired Krux, the marketing technology platform he co-founded, and CTO of Rapt, acquired by Microsoft.
Alex Dean
Co-Founder & CEO, SnowplowLeads Snowplow, the open source core technology that lets businesses collect, validate and model their own behavioral data across platforms and channels.
Tristan Handy
Co-Founder & CEO, dbt LabsTwo decades in data across in-house and consulting roles at enterprises and startups. dbt is the analytics engineering tool data teams build on every day.
Shelomo Dobkin
Director of Product Development, Orthodox UnionLeads the data infrastructure transformation at Orthodox Union, building identity resolution across customer touchpoints. An early Zingg adopter and customer who helped shape its value proposition.
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Follow the journey in our newsletter, The Identity Layer, or come build Zingg with us.