Average Ratings 8 Ratings
Average Ratings 0 Ratings
Description
The Verdantis MDM Suite is an enterprise-grade solution designed to address the most critical challenges in master data management, from cleansing and deduplication to normalization, enrichment, and ongoing governance. Fully compatible with major ERP platforms such as SAP, Oracle, and Microsoft Dynamics, the suite ensures seamless data synchronization and integration across the entire enterprise landscape, eliminating silos and enabling a single source of truth for all MRO data.
At the core of the suite are two powerful applications; Verdantis Harmonize and Verdantis Integrity.
- Harmonize resolves historical data quality issues through automated, large-scale cleansing and enrichment. It helps organizations rapidly standardize materials, equipment, supplier, and services data with minimal manual intervention, significantly reducing time-to-value and improving overall data reliability.
- Integrity, on the other hand, establishes a robust data governance framework that sustains long-term accuracy and compliance. Through configurable rules, validations, and approval workflows, it ensures that new and updated records always adhere to corporate standards.
Powered by domain-trained Agentic AI, Verdantis extends beyond traditional MDM functionality with intelligent capabilities such as parts obsolescence tracking, smart alternates, category analytics, and predictive insights. This intelligent automation empowers organizations to treat MRO data not merely as an operational necessity but as a strategic asset, enhancing maintenance planning, optimizing inventory performance, reducing downtime, and driving measurable cost savings across the enterprise.
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
Integrations
Amazon Web Services (AWS)
No
Databricks
No
Google Cloud Platform
No
Microsoft Fabric
No
Odoo
Yes
Oracle AI Data Platform (AIDP)
Yes
Snowflake
No
Integrations
Amazon Web Services (AWS)
Yes
Databricks
Yes
Google Cloud Platform
Yes
Microsoft Fabric
Yes
Odoo
No
Oracle AI Data Platform (AIDP)
No
Snowflake
Yes
Pricing Details
Subscription Based
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
Yes
Mac
No
Linux
No
Chromebook
Yes
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
No
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
Yes
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
Verdantis
Founded
2004
Country
United States
Website
www.verdantis.com
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
No
Data Source Integrations
Yes
Hierarchy Management
Yes
Match & Merge
Yes
Metadata Management
No
Multi-Domain
Yes
Process Management
No
Relationship Mapping
No
Visualization
No
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