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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 IBM InfoSphere Master Data Management?

The increasing availability of vital business information offers both the chance to uncover valuable insights and the risk of making errors. IBM® InfoSphere® Master Data Management provides powerful matching capabilities to harmonize and rectify data inconsistencies, ensuring that your understanding of information remains both current and accurate. By offering a comprehensive and reliable 360-degree view of customers and business operations, this tool enables collaboration and inspires innovation among users. Furthermore, organizations can leverage the enterprise functionalities of InfoSphere Master Data Management within the secure, governed, and integrated framework of IBM Cloud Pak® for Data. This solution not only consolidates business data across the enterprise into a highly precise format but also supports the visualization of master, transactional, and Hadoop data, making it easier for business users to analyze and build a virtual golden profile of master data for registry-style applications. Ultimately, by improving visibility and access to data, organizations can enhance their decision-making processes, leading to more strategic outcomes. The integration of such advanced data management tools is crucial for businesses looking to thrive in a data-driven landscape.

Media

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Media

Integrations Supported

Amazon Web Services (AWS)
BMC AMI Ops Automation for Capping
Databricks
Google Cloud Platform
Microsoft Fabric
Snowflake
SpiceX
Vertica

Integrations Supported

Amazon Web Services (AWS)
BMC AMI Ops Automation for Capping
Databricks
Google Cloud Platform
Microsoft Fabric
Snowflake
SpiceX
Vertica

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/ibm-infosphere-master-data-management

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

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

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