Knowledge Graph

Knowledge graphs for data intelligence

Transform data discovery with intelligent relationships that reveal the full context of your data ecosystem.

Interactive knowledge graph visualization showing relationships between enterprise data entities in a data intelligence platform

Go beyond a data catalog with a knowledge graph

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Connect the dots

Visually represent relationships between data assets, revealing how data flows through the organization.

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Enrich metadata

Capture the meaning of data, enabling a deeper understanding of its context and relevance to business objectives.

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Dynamically update

Automatically discover and incorporate new data and relationships, ensuring the catalog remains current and accurate.

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Unify governance

Integrate with other governance tools, providing a holistic view of data and its impact on compliance, security, and quality.

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What is a knowledge graph?

A knowledge graph is a dynamic network that represents your data ecosystem as interconnected objects and relationships. It reveals the relationships between datasets, business processes, users, systems, and organizational goals. This interconnected structure transforms static metadata inventories into living maps that automatically capture meaning, context, and dependencies across your entire data landscape.

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How a knowledge graph powers data intelligence

A knowledge graph is a foundational capability within a broader data intelligence platform. By connecting metadata, lineage, governance policies, and observability signals, the graph creates a unified context layer across the enterprise.

Within Actian’s platform, the knowledge graph connects:

By integrating these capabilities, the knowledge graph becomes the intelligence layer that powers trusted analytics, AI, and automated decision-making across hybrid and multi-cloud environments.

knowledge graph powers data intelligence

Transform core data governance function

Accelerated data discovery

Find data with complete context in seconds. Actian’s knowledge graph understands how datasets relate to business processes, compliance requirements, and analytical goals. Users discover not just data, but the understanding needed to use it effectively with quality scores, ownership, usage patterns, and downstream dependencies.

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Complete data lineage

Trace the complete journey of data from source to consumption with visual, end-to-end lineage that automatically maps transformations, dependencies, and business impact. In regulated industries like banking and pharma, this capability is essential for compliance reporting, audit trails, and ensuring data accuracy across complex data pipelines.

360-degree data views

Gain a holistic understanding of your data ecosystem:

  • Financial Services: Complete customer views integrating holdings, policies, transactions, interactions, and risk profiles for personalized services and compliance.
  • Healthcare & Life Sciences: Connected patient data, research findings, clinical trials, and drug information enabling personalized medicine and accelerated discovery.
  • Manufacturing: Integrated supply chain, production floor, quality, and customer feedback data, optimizing processes and improving outcomes.
  • Logistics: Real-time visibility across shipments, inventory, routes, and delivery status for optimized operations.
  • Utilities: Smart grid data, customer usage, infrastructure status, and maintenance records enabling better resource management.
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Intelligent search powered by AI and Machine Learning

Actian Data Intelligence Platform’s knowledge graph delivers deeper, more relevant search results through an architecture that understands context, not just keywords.

  • Natural Language Processing (NLP) interprets queries across multiple data assets using defined relationships.
  • Semantic analysis understands the meaning behind searches, connecting related concepts.
  • Machine learning personalizes results based on user classification, role, and historical interactions.
  • AI-powered suggestions recommend related assets, similar datasets, and relevant business terms you might not have considered.
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Unlocking the Power of Data with a Federated Knowledge Graph

Built for modern data environments

Actian’s knowledge graph adapts to your entire data ecosystem:

  • Universal connectivity to cloud platforms, on-premises systems, data warehouses, lakes, and analytics tools.
  • Automated metadata collection through built-in scanners and APIs that continuously sync with source systems.
  • Flexible modeling supporting evolving schemas and new data types without restructuring.
  • Graph visualizations that reveal patterns, dependencies, and opportunities hidden in complex data relationships.

Open architecture integrating with existing governance, quality, and catalog tools.

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From static catalogs to intelligent networks

The future of data governance is connected, context-rich, and continuously evolving. Knowledge graphs represent a fundamental shift from treating data as isolated inventory to understanding it as a living ecosystem of relationships that drive business value.

For organizations pursuing AI initiatives, regulatory compliance, or enterprise-scale analytics, a knowledge graph is critical infrastructure. AI systems depend on structured metadata, lineage transparency, governance context, and quality signals. By embedding these relationships into a connected graph model, organizations ensure AI models and autonomous agents operate with explainability, traceability, and trust.

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Learn how Actian’s complete data intelligence platform connects knowledge graph technology with cataloging, metadata management, governance, lineage, and observability to deliver enterprise-ready AI and analytics.

Accelerate your transition to a knowledge-centric organization with the Actian Data Intelligence Platform and its enterprise knowledge graph software.

Organizations face a critical challenge: their data exists in disconnected silos across cloud platforms, on-premises systems, data warehouses, and analytics tools. Business users waste hours searching for relevant data, struggle to understand relationships between datasets, and lack confidence in data quality and lineage. Traditional data catalogs provide inventories of what data exists, but they can’t answer the crucial questions: How does this data relate to our business processes? Who owns it? Where does it come from? How can we trust it?

Our powerful knowledge graph solves these challenges by transforming isolated metadata into an intelligent, interconnected network that mirrors how your business actually operates. Unlike rigid, table-based catalogs that require constant manual updates, Actian’s knowledge graph automatically discovers and maps relationships between data assets, business terms, processes, systems, and people. This dynamic approach means your data catalog evolves continuously with your organization, capturing new connections and dependencies without intervention.

The result is enhanced data discovery that goes far beyond simple keyword search. Users can explore data contextually, following relationships to understand upstream sources, downstream consumers, quality metrics, compliance requirements, and business impact. All in an intuitive visual interface. Data governance becomes proactive rather than reactive, with automated lineage tracking, policy enforcement, and risk assessment built into the fabric of your data ecosystem. 

Your organization unlocks greater value from data investments by enabling business users, analysts, and data scientists to find, understand, and trust the right data for their specific needs, reducing time-to-insight from weeks to minutes and accelerating AI readiness, regulatory compliance, and data-driven innovation across every department.

Find, Trust and Unlock the Value of Your Data

Easy to set up. Easy to use. Easy to scale. Schedule to meet with one of our data experts to:

  • Understand how Actian gives access to a comprehensive and reliable data asset landscape.
  • Browse through our data discovery software and its features.
  • Get pricing information.

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