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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Orion Governance
Orion Governance

Orion Governance

Founded by Ramesh Shurma in 2014

Track end-to-end data lineage and automate enterprise metadata management across complex legacy systems

Pricing model

Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Orion Governance to map data lineage, catalog data assets, and track transformation logic across your enterprise infrastructure. It scans source code from legacy mainframes to modern cloud databases without disrupting production environments. You can inspect downstream impacts before making system changes, discover duplicated datasets to cut maintenance costs, and monitor active metadata in real time. The built-in assistant lets technical and business teams query complex data models with natural language, ensuring regulatory compliance and providing reliable data pipelines across hybrid technical setups.

What Orion Governance does

Extract data lineage maps from source codeRun impact assessments on planned schema modificationsCatalog active metadata records across legacy and modern systemsDetect and tag redundant data tablesMask confidential data fields automaticallyQuery enterprise data structures using plain languageMaps granular field-level data lineage across more than 70 technologiesExtracts transformation logic directly from source code without querying production databasesConducts automated downstream impact analysis before code deploymentsIdentifies redundant datasets and duplicate assets across storage repositoriesApplies dynamic masking to sensitive enterprise data recordsIngests and synchronizes active metadata in JSON, CSV, and XML formatsEnables natural language search across complex metadata assets

Pricing breakdown

Pricing model: Paid

Frequently asked

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Orion Governance, Enterprise Information Intelligence Graph, EIIG, data lineage, data catalog, metadata management, impact analysis, active metadata, data observability, data fabric, compliance tracking, data architecture, data governance, mainframe lineage, data modeling