Overview
Data Lineage
Data Lineage
Knowledge Graph 360 View

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Actian Data Intelligence Platform is a cloud-based Context Engine for AI that helps organizations ensure AI agents and business users can find, understand, and trust enterprise data. Built on a federated knowledge graph, the platform centralizes enterprise metadata into a single source of truth, providing the semantic context needed to discover, validate, and act on data with confidence. The platform spans the full data intelligence lifecycle. It includes automated metadata harvesting across more than 75 connectors, a graph-based business glossary and ontology, end-to-end data lineage for transparency and compliance, real-time data observability for continuous quality monitoring, and an enterprise data marketplace built around data products and contracts. AI Analyst, a conversational AI analyst, enables business users to query governed data in plain language without writing SQL. Two purpose-built interfaces support different roles. Studio allows data stewards to manage governance, curation, and policies, while Explorer helps business users easily discover and use trusted data assets. Together they make data intelligence accessible across the organization. By providing governance, lineage, quality signals, and business context on a single platform, Actian enables organizations to deploy AI agents on a foundation of trusted, observable, and well-governed data.
Highlights
- Federated Knowledge Graph & Domain Autonomy This is the foundational architectural advantage. Unlike traditional centralized catalogs that create bottlenecks, a Federated Knowledge Graph allows different business units to maintain control over their data (domain autonomy) while still being discoverable across the enterprise. It provides a flexible metamodel that can adapt to complex business structures, making it the essential backbone for companies pursuing a Data Mesh strategy.
- AI + Knowledge Graph (GenAI Readiness) While many platforms offer AI features, Actian's combination of a Graph-Based Business Glossary and AI-powered semantic enrichment is a game-changer for modern enterprises. By using AI to automate metadata harvesting and provide "certified definitions," the platform prevents the "prompt-to-SQL" inconsistencies that plague many GenAI projects.
- Rapid Time-to-Value The platform's Dual Interface and Smart Lineage address the biggest failure point of legacy systems like Collibra or Informatica: low adoption. By providing a user experience that feels like "Amazon for Data" (a marketplace for data products), it lowers the barrier to entry. Combined with 75+ native connectors for automated harvesting, organizations can see operational results much faster and at a lower total cost of ownership than with legacy incumbents.
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Dimension | Description | Cost/12 months |
|---|---|---|
Zeenea Data Intelligence Platform | Zeenea Data Intelligence Platform (including 10 Stewards, 3 Connectors, 1000 Explorer Users & Data Access Request Management) | $150,000.00 |
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