Enterprise Metadata & Governance Platform

Powered by DataHub (On-Premises)

Logan Data has successfully implemented DataHub as an enterprise-grade, on-premises metadata and governance platform. This solution enables organizations to discover, govern, and trust their data across complex data ecosystems from a single unified interface. 

Who Is Using This Platform? 

The customers used these platforms for Meta Data Discovery, POC, Advance Governance Evaluations. 

Key Business Outcomes 

  • Single source of truth for enterprise metadata
  • Improved trust and confidence in analytical data
  • Faster impact analysis and issue resolution
  • Enablement of data governance and data mesh initiatives

Core & Advanced Capabilities 

Core Platform Capabilities 

  • Centralized data catalog across databases, pipelines, and dashboards End-to-end dataset and column-level lineage visualization Business glossary and technical metadata alignment Clear ownership, stewardship, and accountability model Automated and stateful metadata ingestion

Advanced Enterprise Features 

  • Data quality and trust signals (freshness, usage, deprecation) Domain-based data organization for Data Mesh readiness Tagging, classification, and metadata enrichment
  • Search-driven discovery with Google-like experience Extensible architecture with APIs and event-driven metadata

Security, Architecture & Engagement Model 

Security & Deployment Model 

  • Fully on-premises deployment within controlled infrastructure
  • No external data movement or metadata leakage
  • Supports enterprise security and compliance requirements

Scalability & Future Readiness 

  • Scales from POC to enterprise-wide rollout
  • Supports hybrid and cloud migration paths
  • Ready for Kubernetes-based and HA deployments

Engagement Options 

  • Live platform demonstrations
  • Client-specific POCs and pilots
  • Advanced feature walkthroughs
  • Architecture and roadmap discussions

A secure, enterprise-ready on-premises DataHub platform enabling organizations to discover, govern, and trust their data at scale.