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What is Zingg?

Zingg is an open-source solution crafted for Master Data Management, specifically designed to meet the demands of modern data warehousing. By utilizing machine learning for efficient entity resolution, it eliminates the need for expensive and rigid MDM alternatives. It integrates effortlessly with platforms such as Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, enabling data teams to establish a unified and trustworthy view of customers, suppliers, and products directly within their established data frameworks. Thanks to the persistent Zingg ID, organizations maintain golden records that are consistently synchronized across multiple systems and data sources, guaranteeing both data integrity and accessibility. Furthermore, Zingg's forward-thinking methodology streamlines the administration of master data, empowering organizations to concentrate on making informed, data-driven decisions. In doing so, Zingg promotes the efficient analysis of information, which is crucial for staying competitive in today's data-centric landscape.

What is CluedIn?

CluedIn stands out as the quickest master data management platform to deploy. It has redefined conventional MDM by offering a significantly improved user experience. With CluedIn, there is a notable reduction in manual tasks, leading to superior outcomes that traditional MDM cannot achieve. By innovating a new unrestricted approach to MDM, CluedIn has successfully addressed the challenges posed by traditional systems. This cloud-native Master Data Management Platform was crafted to be cost-effective while providing an intuitive user experience akin to that of SaaS applications. Unlike traditional MDM providers that require integration of various tools to achieve a comprehensive solution, CluedIn consolidates the essential elements of master data management into one cohesive platform. We have taken a bold step away from conventional practices and emerged with automated solutions that simplify the most challenging aspects of data management, rendering outdated methodologies obsolete. With CluedIn, organizations can expect a seamless transition to an efficient, streamlined MDM experience that empowers them to focus on their core objectives.

Media

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Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Databricks
Google Cloud Platform
Microsoft Fabric
Snowflake

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Databricks
Google Cloud Platform
Microsoft Fabric
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$28,500 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Zingg Labs

Date Founded

2021

Company Location

United States

Company Website

www.zingg.ai/

Company Facts

Organization Name

CluedIn

Date Founded

2015

Company Location

Denmark

Company Website

www.cluedin.com

Categories and Features

Master Data Management

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

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Master Data Management

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

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