Semarchy Data Platform (SDP) vs. ON EBX

Semarchy Data Platform (SDP) provides an enterprise data management environment that unifies data integration, master data management, data quality, and governance within a single platform. The solution is built around the concept of reusable Data Products that package business information, processing logic, and access interfaces into independently managed components. Each Data Product can contain data entities, validation rules, transformation pipelines, APIs, semantic models, and descriptive metadata that define how information is structured and consumed. Built-in ownership and lifecycle management capabilities help organizations maintain accountability and consistency as data assets evolve. SDP supports a DataOps-oriented development process in which engineers design solutions using Visual Studio Code, track changes through Git, and manage releases with continuous integration and deployment pipelines. Automated testing and rollback functionality enable teams to validate modifications and recover from unsuccessful deployments without disrupting established data workflows. AI-powered design assistance helps users create data models, configure business rules, and accelerate the development of governed data assets. Integrated governance functionality includes data lineage, access management, quality controls, and metadata management to support trusted information throughout its lifecycle. Organizations can deploy the platform as a managed SaaS solution, within self-hosted infrastructure, or natively in Snowflake, depending on their technical and operational requirements. By replacing fragmented data management tools with a unified, reusable architecture, Semarchy Data Platform helps enterprises reduce integration complexity, accelerate data delivery, and provide consistent information for analytics, applications, and business operations.

ON EBX is a model-driven, multi-domain master data management platform that helps enterprises establish a centralized and governed foundation for master data, reference data, and metadata. The software is designed to address fragmented information, inconsistent records, duplicated data, and limited visibility across enterprise applications and departments. Its flexible data modeling capabilities allow organizations to define and evolve complex data structures based on their business requirements rather than relying exclusively on predefined schemas. ON EBX supports the management of relationships, hierarchies, business rules, and contextual information that help connect enterprise data to the processes and decisions it supports. Built-in data validation, governance workflows, and lifecycle controls help maintain data quality and consistency while reducing manual reconciliation activities. The platform provides Customer 360 capabilities for creating consistent customer records and improving visibility into customer information across business systems. Product data management tools help organizations maintain accurate product information and support processes related to product development, distribution, and time-to-market. Supplier data management capabilities improve the organization, visibility, and governance of supplier records and associated business relationships. Reference data management enables organizations to standardize common data values, classifications, and definitions across applications and operational processes. ON EBX also prepares structured, context-rich information for analytics, artificial intelligence, and large language model applications by enriching data with meaningful relationships and business context.