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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Agile Data Manager, developed by Goldright, serves as a robust Master Data Management platform that transforms crucial business data from disparate sources into organized, validated, and centrally accessible assets, establishing a unified source of truth for the entire organization. This solution effectively centralizes, cleans, and oversees data across various domains using a single adaptable data model, which merges all data versions into a reliable base that ensures complete data integrity. It meticulously tracks data lineage from start to finish, and its timestamped history supports point-in-time reporting while minimizing the need for manual input. Governance based on user roles facilitates centralized control over data ownership and compliance, and the integrated Business Process Engine (BPMN) streamlines data workflows through automation. Furthermore, an AI-powered assistant within the platform can respond to questions posed in natural language, and customizable APIs allow for seamless bidirectional integration with ERP, CRM, and BI systems. By providing clean and governed data, this platform lays a solid groundwork for training artificial intelligence models and supports the implementation of GenAI applications, ultimately enhancing business intelligence and decision-making capabilities. This comprehensive approach not only streamlines processes but also empowers organizations to leverage their data more effectively.

Description

Zingg is an open-source platform designed for Master Data Management, tailored for contemporary data warehousing needs. By leveraging machine learning for scalable entity resolution, it removes the reliance on costly and inflexible MDM solutions. Seamlessly integrated with Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, Zingg empowers data teams to create a cohesive and reliable view of customers, suppliers, and products directly within their existing data environments. With a persistent Zingg ID, golden records are consistently upheld across various systems and data sources, ensuring data integrity and accessibility. Moreover, Zingg's innovative approach simplifies the management of master data, allowing organizations to focus on data-driven decision-making.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) No 
Databricks No 
Goldright Enterprise Suite Yes 
Goldright Identity Manager Yes 
Goldright Legal Entity Manager Yes 
Goldright Organizational Data Manager Yes 
Google Cloud Platform No 
Microsoft Fabric No 
Model Context Protocol (MCP) Yes 
Snowflake No 

Integrations

Amazon Web Services (AWS) Yes 
Databricks Yes 
Goldright Enterprise Suite No 
Goldright Identity Manager No 
Goldright Legal Entity Manager No 
Goldright Organizational Data Manager No 
Google Cloud Platform Yes 
Microsoft Fabric Yes 
Model Context Protocol (MCP) No 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Contact For Pricing
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Goldright GmbH

Country

Austria

Website

goldright.com/en/solutions/agile-data-manager

Vendor Details

Company Name

Zingg Labs, Inc

Founded

2021

Country

United States

Website

www.zingg.ai/

Product Features

Master Data Management

Data Governance Yes 
Data Masking Yes 
Data Source Integrations Yes 
Hierarchy Management Yes 
Match & Merge Yes 
Metadata Management Yes 
Multi-Domain Yes 
Process Management Yes 
Relationship Mapping Yes 
Visualization Yes 

Product Features

Master Data Management

Data Governance Yes 
Data Masking No 
Data Source Integrations Yes 
Hierarchy Management Yes 
Match & Merge Yes 
Metadata Management Yes 
Multi-Domain Yes 
Process Management Yes 
Relationship Mapping Yes 
Visualization Yes 

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