Enterprise Information Intelligence Graph

Orion Governance Enterprise Information Intelligence Graph (EIIG) is a vendor- and technology-agnostic data intelligence platform that combines data cataloging, data lineage, data governance, and active metadata into a single self-defined data fabric. Founded in 2017 and headquartered in San Mateo, California, EIIG targets Global 5000 enterprises in banking, insurance, retail, healthcare, telecom, and IT, helping them achieve regulatory compliance, cloud migration, legacy modernization, digital transformation, and data governance. The platform ingests metadata from more than 60 different technologies, including mainframe systems like AS400, programming languages such as COBOL, Java, and Python, and modern tech stacks like Azure, AWS, Snowflake, GCP, and Databricks, as well as traditional systems like z/OS and ETL tools. This broad technology support enables organizations to consolidate siloed data sources and fragmented data management tools into one unified environment.

EIIG uses a bottom-up, fact-based metadata ingestion approach to automatically build a near real-time, self-defined data fabric. The platform applies machine learning and artificial intelligence to unify data, connect business terminology, and create a dynamic data catalog of all assets. It produces what the company describes as the most comprehensive knowledge graph in the industry, providing visualizations for cataloging, tracing, trusting, and analyzing data. Key capabilities include automated data mapping, granular change detection and notification, impact analysis, real-time data profiling and quality analysis, and a data marketplace. The platform detects changes such as database reloads, table additions/removals, column data type alterations, view definition modifications, and ETL transformation adjustments, and sends near real-time alerts with lineage-based context, allowing users to trace changes back to individual developers or tickets.

In the market, EIIG competes with larger consulting and IT services firms such as Deloitte Consulting, Cognizant, Tata Consultancy Services, CDW Hardware, and Capgemini Services. Unlike these competitors, which often require significant custom integration and professional services, EIIG offers a pre-built, integrated platform that combines code- and column-level data lineage, data catalogs, and metadata analytics natively. The platform was named a Cool Vendor in Graph Technologies by Gartner, reflecting its focus on graph-based active metadata. However, its market position is niche, targeting enterprises with complex, heterogeneous IT landscapes rather than broad data governance suites from established vendors.

Honest trade-offs: EIIG's interface is plain and can present an overabundance of information, making initial user experience challenging. The platform lacks out-of-the-box integration with common data governance tools, requiring significant custom integration for some major platforms. Analytics capabilities are limited, and the search function has constraints that may hinder quick data discovery. While EIIG supports legacy coding platforms, its reliance on custom integration for major platforms can increase deployment complexity and time. These factors mean that organizations seeking a simple, out-of-the-box governance solution may find EIIG requires more upfront effort than alternatives.

Subscription-based pricing with annual licensing options; cost varies by deployment size, user count, and organizational requirements. No public tier pricing is available.