\\### \\\*\\\*How We Built SAP-Level MDM on Frappe with MongoDB\\\*\\\* !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/87ccfadf-99e8-4e22-b1f1-4677307ffdc4/image.png) \\\*\\\*Developed a scalable\\\*\\\*\\\[\\\*\\\*MDM\\\*\\\*\\\](https://www.sap.com/products/technology-platform/master-data-governance.html)\\\*\\\*solution enabling seamless multi-site\\\*\\\*\\\[\\\*\\\*data synchronization\\\*\\\*\\\](https://en.wikipedia.org/wiki/Data\\\_synchronization)\\\*\\\*and eliminating dependency bottlenecks across distributed instances.\\\*\\\* \\\*\\\*Problem Statement\\\*\\\* --------------------- \\\*\\\*Enterprise Challenge\\\*\\\*: Organizations using distributed instances across multiple business verticles faced critical data consistency issues, with master data scattered across instances creating synchronization nightmares, development bottlenecks, and operational inefficiencies that limited \\\[horizontal scalability\\\](https://www.mongodb.com/basics/horizontal-vs-vertical-scaling) and cross-site collaboration. \\\*\\\*User Story\\\*\\\* -------------- As a \\\*\\\*SAP expert at\\\*\\\* \\\[\\\*\\\*Reliance\\\*\\\*\\\](https://www.ril.com/) \\\*\\\*implementing\\\*\\\* \\\[\\\*\\\*Frappe Framework\\\*\\\*\\\](https://frappeframework.com/)\\\*\\\*, it became increasingly difficult\\\*\\\* to maintain consistent master data across our distributed sites, leading to data silos, manual synchronization efforts, and deployment delays whenever master data changes were needed. I wanted a centralized \\\[master data management\\\](https://www.ibm.com/topics/master-data-management) system that could seamlessly share and synchronize data across all our \\\[Frappe\\\](https://frappeframework.com/) instances in real-time, so that our teams could focus on business logic rather than data consistency issues, and we could scale horizontally without architectural constraints. \\\*\\\*Existing Solution Analysis\\\*\\\* ------------------------------ !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/0b2a2f24-ed6e-4c74-b31e-04e61f844960/image.png) \\\*\\\*Central Store-Based Sync (\\\*\\\*\\\[\\\*\\\*Kafka\\\*\\\*\\\](https://kafka.apache.org/)\\\*\\\*,\\\*\\\*\\\[\\\*\\\*RabbitMQ\\\*\\\*\\\](https://www.rabbitmq.com/)\\\*\\\*)\\\*\\\* \\\* Used \\\[Oracle Golden Gate\\\](https://www.oracle.com/integration/goldengate/) to publish events onto \\\[Kafka\\\](https://kafka.apache.org/) topics \\\* Events are consumed by respective sites, maintaining their own copy \\\* Limited central control over master version deprecation \\\*\\\*Pull-Based Sync\\\*\\\* \\\* Sites pulled the masters and maintained delta copies on the mutated masters \\\* Attempted synchronization with parent schema \\\* No communication mechanism for consumer registration tracking \\\*\\\*Critical Gap\\\*\\\*: Both approaches lacked central control for deprecating and controlling master versions, with no visibility into consumer registration status or synchronization state. \\\*\\\*Solution\\\*\\\* ------------ ### \\\*\\\*Key Architecture\\\*\\\* !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/2705c947-ca76-48d0-b902-2fbf8f11c9b8/image.png) \\\* \\\*\\\*Virtual Doctype Extension\\\*\\\*: Built upon \\\[Frappe's\\\](https://frappeframework.com/) \\\[virtual doctype architecture\\\](https://frappeframework.com/docs/user/en/guides/basics/doctypes) to create MDM-enabled document types \\\* \\\*\\\*Centralized NoSQL Store\\\*\\\*: Implemented \\\[MongoDB\\\](https://www.mongodb.com/) as the master data repository with automated meta and \\\[data synchronization\\\](https://en.wikipedia.org/wiki/Data\\\_synchronization) \\\* \\\[\\\*\\\*Connection Pool\\\*\\\*\\\](https://www.mongodb.com/docs/manual/administration/connection-pool-overview/) \\\*\\\*Management\\\*\\\*: Deployed \\\[connection pools\\\](https://www.mongodb.com/docs/manual/administration/connection-pool-overview/) to manage multi-instance and cluster connections to \\\[MongoDB\\\](https://www.mongodb.com/) efficiently \\\* \\\[\\\*\\\*Read Replica\\\*\\\*\\\](https://www.mongodb.com/docs/manual/core/replica-set-members/#std-label-replica-set-secondary-members) \\\*\\\*Strategy\\\*\\\*: Utilized \\\[MongoDB\\\](https://www.mongodb.com/) \\\[read replicas\\\](https://www.mongodb.com/docs/manual/core/replica-set-members/#std-label-replica-set-secondary-members) to horizontally scale different shards of respective masters, requiring heavy read operations and deployment delays whenever master data changes were needed. \\\* \\\*\\\*Cross-Site Communication\\\*\\\*: Developed secure sharing mechanisms with granular access control between \\\[Frappe\\\](https://frappeframework.com/) instances \\\* \\\*\\\*Real-time Verification\\\*\\\*: Created a validation system for data integrity across distributed environments ### \\\*\\\*Frappe Virtualization Layer\\\*\\\* !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/e900455f-97c7-44f7-bf42-deb14afd34b2/image.png) ### \\\*\\\*Frappe MongoDB Wrapper\\\*\\\* A sophisticated database abstraction layer that seamlessly integrates \\\[MongoDB\\\](https://www.mongodb.com/) with Frappe's native \\\[ORM\\\](https://frappeframework.com/docs/user/en/api/database) while preserving framework conventions: \\\* \\\*\\\*Session Context Integration\\\*\\\*: Inherits and extends Frappe's database connection lifecycle, maintaining compatibility with existing session management, user contexts, and site-specific configurations \\\* \\\*\\\*Connection Pool Optimization\\\*\\\*: Implements intelligent \\\[connection pooling\\\](https://www.mongodb.com/docs/manual/administration/connection-pool-overview/) with configurable timeouts, retry logic, and failover mechanisms for high-availability deployments \\\* \\\*\\\*Query Translation\\\*\\\*: Automatically translates Frappe's SQL-like queries to \\\[MongoDB\\\](https://www.mongodb.com/) \\\[aggregation pipelines\\\](https://www.mongodb.com/docs/manual/core/aggregation-pipeline/) while maintaining semantic consistency \\\* \\\*\\\*Transaction Simulation\\\*\\\*: Provides \\\[ACID\\\](https://www.mongodb.com/basics/acid-transactions)\\\\-like behavior through \\\[MongoDB's\\\](https://www.mongodb.com/) multi-document transactions and custom rollback mechanisms ### \\\*\\\*Doctype Virtualization Engine\\\*\\\* An advanced doctype virtualization system that extends \\\[Frappe's\\\](https://frappeframework.com/) \\\[virtual doctype\\\](https://frappeframework.com/docs/user/en/guides/basics/doctypes) capabilities for distributed \\\[master data management\\\](https://www.ibm.com/topics/master-data-management): \\\* \\\*\\\*Dynamic Method Binding\\\*\\\*: Runtime interception and redirection of core doctype methods (save, delete, get\\\\\\\_doc) to \\\[MongoDB\\\](https://www.mongodb.com/) operations while preserving \\\[Frappe's\\\](https://frappeframework.com/) validation and hook system \\\* \\\*\\\*Metadata Synchronization\\\*\\\*: Automated registration and synchronization of doctype schemas, custom fields, and business rules across MongoDB collections with versioning support \\\* \\\*\\\*Permission Architecture\\\*\\\*: Granular role-based access control (\\\[RBAC\\\](https://www.mongodb.com/docs/manual/core/authorization/)) implementation that maps Frappe's permission system to MongoDB's field-level security model \\\* \\\*\\\*Event System Integration\\\*\\\*: Seamless integration with Frappe's before/after hooks, validation events, and custom triggers for MongoDB operations ### \\\*\\\*Site Identity Config\\\*\\\* A centralized configuration and identity management system that handles \\\[multi-tenant\\\](https://www.mongodb.com/basics/multi-tenancy) MongoDB deployments: \\\* \\\*\\\*Cluster Configuration\\\*\\\*: Manages MongoDB cluster topology, \\\[replica set\\\](https://www.mongodb.com/docs/manual/replication/) configurations, and \\\[shard distribution\\\](https://www.mongodb.com/docs/manual/sharding/) strategies based on site-specific requirements \\\* \\\*\\\*Identity Resolution\\\*\\\*: Provides secure site-to-site authentication and authorization mechanisms with encrypted token exchange and audit logging \\\* \\\*\\\*Bootstrap Orchestration\\\*\\\*: Handles initial MongoDB collection setup, index creation, and seed data population during site provisioning \\\* \\\*\\\*Background Job Context\\\*\\\*: Maintains MongoDB connection contexts for Frappe's background job system, ensuring consistent data access across async operations \\\*\\\*Key Features Delivered\\\*\\\* -------------------------- \\\* \\\*\\\*Master Data Declaration\\\*\\\*: One-click conversion of any \\\[virtual doctype\\\](https://frappeframework.com/docs/user/en/guides/basics/doctypes) into MDM master with automatic MongoDB integration \\\* Migrate any existing doctype to MDM master \\\* Use MDM doctype as a local doctype (Link fields, controls, etc) \\\* Share any MDM master with sites across your infrastructure \\\* Manage ACL and have version control over masters \\\* Allow consumers to have their own data on top of any masters \\\* \\\[\\\*\\\*Connection Pool\\\*\\\*\\\](https://www.mongodb.com/docs/manual/administration/connection-pool-overview/) \\\*\\\*Optimization\\\*\\\*: Efficient multi-instance cluster management with automatic failover and load balancing \\\* \\\[\\\*\\\*Read Replica\\\*\\\*\\\](https://www.mongodb.com/docs/manual/core/replica-set-members/#std-label-replica-set-secondary-members) \\\*\\\*Scaling\\\*\\\*: \\\[Horizontal scaling\\\](https://www.mongodb.com/basics/horizontal-vs-vertical-scaling) through MongoDB \\\[read replicas\\\](https://www.mongodb.com/docs/manual/core/replica-set-members/#std-label-replica-set-secondary-members) for high-read master data scenarios \\\* \\\*\\\*Granular Access Control\\\*\\\*: Site-specific sharing permissions through \\\[Frappe\\\](https://frappeframework.com/) Shared Resource management interface \\\* \\\*\\\*Delta Aggregation\\\*\\\*: Real-time delta processing using MongoDB \\\[aggregation framework\\\](https://www.mongodb.com/docs/manual/core/aggregation-pipeline/) for site-specific modifications \\\* \\\*\\\*Consumer State Tracking\\\*\\\*: Automatic last sync, version, and registration status management for simplified ACL \\\* \\\*\\\*Seamless Data Consumption\\\*\\\*: Simple consumption workflow allowing sites to access shared doctypes as local resources \\\* \\\*\\\*Zero-Downtime Updates\\\*\\\*: Schema-less updates eliminate migration requirements and system downtime \\\*\\\*Results & Achievements\\\*\\\* -------------------------- ### \\\*\\\*Performance Improvements\\\*\\\* !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/ca6c01fa-a249-4926-93b5-ecb323b7b84f/image.png) ### \\\*\\\*Business Impact\\\*\\\* !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/5bb170d7-fc1d-4a5e-89c1-42cba7c1abe9/image.png) !\\\[\\\](https://t9016527038.p.clickup-attachments.com/t9016527038/bc319eb6-1ebd-4a30-b3c0-e658d7136a45/image.png) \\\*\\\*Conclusion\\\*\\\* -------------- The Frappe MDM solution successfully addresses the critical challenge of \\\[master data management\\\](https://www.ibm.com/topics/master-data-management) in distributed \\\[Frappe\\\](https://frappeframework.com/) environments, providing enterprises with the scalability and consistency required for modern business operations. This framework establishes a foundation for future enhancements in cross-site collaboration and data governance. \\\*\\\*Have a similar problem? We can consult\\\*\\\* \\\[scalix.in\\\](http://scalix.in) \\\*\\\*Tags:\\\*\\\* #\\\[MDM\\\](https://www.sap.com/products/technology-platform/master-data-governance.html) #\\\[FrappeFramework\\\](https://frappeframework.com/) #\\\[MongoDB\\\](https://www.mongodb.com/) #\\\[NoSQL\\\](https://www.mongodb.com/nosql-explained) #ConnectionPooling #ReadReplicas #DistributedSystems #DataManagement #SAP #\\\[Reliance\\\](https://www.ril.com/) #EnterpriseArchitecture #Scalability #CrossSiteSynct