# Zingg

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/zingg
- **Dataset:** https://optimly.ai/brand/zingg.json
- **Markdown:** https://optimly.ai/brand/zingg/llms.txt
- **Official website:** https://zingg.ai
- **Slug:** zingg
- **Categories:** ai-machine-learning, data-analytics-business-intelligence

## Overview

- **Tagline:** Open source, warehouse-native, AI-based matching trainable with minimal labeled data (Yes/No/Can't Say), scales rapidly to millions of records, creates a globally unique and persistent identifier (ZINGG_ID), supports incremental resolution of updated and new records, matches on nicknames and abbreviations, and offers auto-transformation and matching features.
Source: Brand's website (https://zingg.ai) · 2026-10-04

- **Description:** Zingg provides open-source warehouse-native Master Data Management (MDM) and real-time entity resolution solutions. It helps businesses build golden records by unifying fragmented customer and enterprise data across various data stacks like Databricks, Snowflake, AWS Glue, BigQuery, and GCP, using AI-based matching and incremental updates. It offers both a community (open-source) version and an enterprise version.
Source: Brand's website (https://zingg.ai) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Open Source Warehouse Native MDM
  - Real-Time MDM
  - Entity Resolution
  - Zingg Enterprise
  - Zingg Community
Source: Brand's website (https://zingg.ai) · 2026-10-04

- **Pricing:** Freemium (Open Source Community version and Enterprise version)
Source: Brand's website (https://zingg.ai) · 2026-10-04

## Audience

- **Target industry:** Data leaders globally; enterprises needing to unify fragmented customer and enterprise data, particularly in industries like retail, non-profit, pharmaceuticals, life sciences, and sports.
Source: Brand's website (https://zingg.ai) · 2026-10-04

Page last updated 2026-10-04.