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Average Ratings 0 Ratings

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features
design
support

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Description

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

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

Screenshots View All

No images available

Integrations

Google Cloud Platform Yes 
AX Semantics Yes 
Amazon Web Services (AWS) No 
Databricks No 
Exterro Yes 
Google Cloud Pub/Sub Yes 
Hadoop Yes 
Informatica Supplier 360 Yes 
Microsoft Fabric No 
Salesforce Agentforce Education Yes 
Salesforce CRM Analytics Yes 
Snowflake No 
UKG Pro Yes 

Integrations

Google Cloud Platform Yes 
AX Semantics No 
Amazon Web Services (AWS) Yes 
Databricks Yes 
Exterro No 
Google Cloud Pub/Sub No 
Hadoop No 
Informatica Supplier 360 No 
Microsoft Fabric Yes 
Salesforce Agentforce Education No 
Salesforce CRM Analytics No 
Snowflake Yes 
UKG Pro No 

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

Types of Training

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

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com

Vendor Details

Company Name

Zingg Labs, Inc

Founded

2021

Country

United States

Website

www.zingg.ai/

Product Features

Data Cleansing

Address/ZIP Code Cleaning Yes 
Charting Yes 
Data Consolidation / ETL Yes 
Data Mapping Yes 
Multi Data Format Support Yes 
Phone/Email Validation No 
Raw Data Ingestion Yes 
Sample Testing Yes 
Validation / Matching / Reconciliation Yes 

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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