Platform Architecture
A modern, cloud-native master data management platform built for scalability, flexibility, and intelligent automation. Deploy anywhere with a lean, efficient technology stack.
Layered Architecture
ZMDM is built on a modular, layered architecture that separates concerns and enables flexibility at every level of the platform.
Multi-Domain Master Data
Business Process Orchestration
Master Data Quality & Business Readiness Assessment
AI Agents as Workflow Performers
Plug-and-Play Integration
Cloud-Native Deployment
ZMDM is designed for modern cloud infrastructure, supporting containerized deployment across all major cloud platforms with minimal resource requirements.
Public Cloud Platforms
Deploy on your preferred cloud provider using managed container services for simplified operations and auto-scaling.
Container Orchestration
Full support for Kubernetes and Docker deployments with Helm charts and pre-configured container images.
Private & Hybrid Cloud
Deploy on-premises or in private cloud environments while maintaining the same deployment flexibility and operational model.
Lean & Efficient Technology Stack
Apache Tomcat
Production-proven Java application server providing robust, high-performance request handling with minimal resource overhead.
MySQL Database
Battle-tested relational database delivering enterprise-grade reliability, ACID compliance, and proven scalability for master data storage.
Optimized Footprint
Designed for efficiency — runs smoothly on minimal infrastructure while scaling seamlessly as your needs grow.
Enterprise Security
Built-in SSO integration, role-based access control, and comprehensive audit logging for regulatory compliance.
AI-Powered Intelligence
ZMDM integrates AI agents directly into master data workflows, enabling intelligent automation for data validation, enrichment, and decision-making.
Automated Data Validation
AI agents perform intelligent validation of master data records, catching errors that rule-based systems miss.
Smart Data Enrichment
Automatically enrich records with missing attributes by leveraging AI to research and populate data fields.
Duplicate Detection
AI-powered matching identifies potential duplicates using semantic understanding, not just exact matches.
Classification Assistance
AI suggests appropriate classifications and categorizations based on item descriptions and attributes.
Supported AI Platforms
Adapter-Based External Integration
ZMDM’s adapter architecture enables plug-and-play connectivity with enterprise systems. Pre-built adapters handle protocol translation, data mapping, and bi-directional synchronization.
ERP Systems
SAP, Oracle, Infor, NetSuite
PLM Systems
Windchill, Teamcenter, ENOVIA
CRM Systems
Salesforce, Dynamics 365
EAM Systems
IBM Maximo, SAP PM
Commerce
Shopify, Amazon, Google Retail
Data Platforms
Snowflake, Databricks, Power BI
Build Custom Adapters
ZMDM includes an integration development toolkit for building custom adapters. Use REST APIs, JDK libraries (including SAP JCo), or JDBC to connect to any system in your enterprise landscape.
Architecture Benefits
Low Total Cost of Ownership
Lean technology stack minimizes infrastructure costs and operational complexity.
Scales with Your Business
Containerized architecture enables horizontal scaling to handle growing data volumes.
Rapid Deployment
Pre-built container images and Helm charts enable deployment in hours, not months.
Future-Ready
AI-native architecture ensures you’re positioned to leverage emerging technologies.
Ready to Explore ZMDM Architecture?
See how our modern, cloud-native platform can fit seamlessly into your enterprise landscape.