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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 PiLog?

PiLog distinguishes itself as a leading provider of Master Data Quality Solutions, servicing a range of master data fields across numerous sectors. Their groundbreaking solutions emphasize the creation of a unified business language while adeptly overseeing the standards necessary for generating high-quality, multilingual descriptions that cater specifically to client requirements. With over twenty years committed to research, development, and implementation, PiLog provides distinctive technical dictionary content that significantly boosts data quality. Renowned as The Master Data Experts, the dedicated PiLog team has effectively cleansed millions of records, resulting in considerable cost reductions for their clients. Through the elimination of duplicate inventories and spare parts, minimizing free-text costs, and refining spend analysis via precise item and service classifications, PiLog has showcased its market value. Clients not only benefit from enhanced data management but also enjoy meaningful financial advantages as a result of PiLog's unwavering commitment to excellence. Furthermore, their innovative approach continues to set new benchmarks in the industry, ensuring sustainable growth for their partners.

Media

No images available

Media

Integrations Supported

Amazon Web Services (AWS)
Databricks
Eclipse GlassFish
Google Chrome
Google Cloud Platform
IBM Db2
Internet Explorer
Microsoft Edge
Microsoft Fabric
Mozilla Firefox
MySQL
Opera
Oracle Database
Oracle WebLogic Server
SAP Store
SQL Server
Safari
Snowflake
WildFly

Integrations Supported

Amazon Web Services (AWS)
Databricks
Eclipse GlassFish
Google Chrome
Google Cloud Platform
IBM Db2
Internet Explorer
Microsoft Edge
Microsoft Fabric
Mozilla Firefox
MySQL
Opera
Oracle Database
Oracle WebLogic Server
SAP Store
SQL Server
Safari
Snowflake
WildFly

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

PiLog

Date Founded

1996

Company Location

United States

Company Website

www.piloggroup.com/master-data-record-manager.php

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

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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