Discover and access relevant data

Data discovery is the foundational process of identifying, locating, and understanding all the data assets within an organization. It’s the essential first step that enables effective data governance by providing a comprehensive view of the organization’s data landscape.. It breaks down silos and empowers users to locate relevant information quickly through intelligent search and contextual understanding of data assets.

Effective data discovery requires:

• Consistent terminology across your data ecosystem.
• A robust data governance framework.
• Seamless connections to all your data sources.

Actian Data Intelligence Platform transforms traditional data discovery through AI-powered search experiences that enable both technical and business users to find, understand, and trust enterprise data assets instantly.

Actian empowers organizations by creating dynamic, marketplace-style discovery experiences that leverage federated knowledge graphs to understand data relationships automatically and deliver personalized recommendations based on user profiles and business contexts.

Actian Data Intelligence Platform eliminates manual data hunting through intelligent automation that indexes and catalogues data assets across your entire enterprise ecosystem. The platform automatically connects to 75+ data sources including Snowflake, Azure, Tableau, Power BI, SQL Server, Oracle, SAP, MongoDB, and Databricks, continuously scanning and updating metadata.

The federated knowledge graph technology creates intelligent relationships between data assets, enabling the platform to understand context automatically and deliver rich search results.  Actian empowers data stewards to focus on architecture and pipeline optimization rather than tedious asset documentation through Studio, while business users gain instant access to trusted data through Google-like search capabilities.

Our search engine revolutionizes data discovery through the federated knowledge graph that creates intelligent, multilateral relationships between data assets across your entire ecosystem. Unlike traditional data catalogs that present static documentation, Actian delivers Google-like search experiences with multi-dimensional capabilities that work for both high-intent searches (when users know exactly what they need) and low-intent exploration (when users browse for relevant data).

The platform empowers users through personalized discovery experiences that leverage user profiles to rank results intelligently and provide smart recommendations that improve over time. Actian’s search engine automatically indexes and updates metadata from all connected data sources, enabling instant keyboard searches while supporting topic-based browsing, filtering by quality levels, connection types, and custom business criteria that data architects define to enhance governance without restricting access.

Actian Data Intelligence Platform automatically connects to and searches across 75+ enterprise data sources, including Snowflake, Azure, AWS, Tableau, Power BI, SQL Server, Oracle, SAP, MongoDB, Databricks, and comprehensive cloud and on-premises systems. The platform’s built-in scanners and APIs automatically collect, consolidate, and link metadata from your entire data ecosystem without requiring manual configuration or maintenance.

The federated knowledge graph technology enables Actian to understand relationships between disparate data sources, creating unified search experiences that span databases, applications, ETL processes, reports, and analytics tools. Data stewards benefit from synchronization capabilities that maintain current metadata as your infrastructure evolves, while automated discovery eliminates the overhead of managing multiple point solutions for different data platforms.

Actian enables organizations to eliminate data silos by providing centralized visibility across hybrid and multi-cloud environments. This facilitates the discovery of related datasets, regardless of their location within the technology stack.

In the Actian Data Intelligence Platform:

• Topics are intelligent categorizations systems that organize data assets based on business domains, use cases, and contextual relationships rather than technical storage locations. Topics enable users to explore data through business-relevant lenses such as customer analytics, financial reporting, or operational metrics, making data discovery intuitive for both technical and non-technical users.
• Catalog Items represent individual data assets within the platform including tables, views, reports, dashboards, data models, and any discoverable data objects from connected sources. Each catalog item contains comprehensive metadata, lineage information, quality indicators, documentation, and relationship mappings that provide complete context about the asset’s purpose, structure, and usage patterns.

We empower data stewards to customize topic hierarchies that align with organizational structures and business processes, while automated classification algorithms suggest topic assignments based on content analysis and usage patterns. This combination of manual governance control and intelligent automation ensures that catalog items are easily accessible and discoverable as your data landscape grows.

The 360-degree view of data is a visual representation of the relationships tied to a data asset in the knowledge graph. It provides comprehensive visibility into every aspect of your data assets including origin, transformations, relationships, quality metrics, usage patterns, and business context within a single interface. Actian Data Intelligence Platform delivers a holistic perspective through interactive visualizations that enable users to select any data element and instantly access its complete lifecycle journey from source systems to downstream applications.

This comprehensive visibility empowers data stewards to:

• Perform impact analysis when making architectural changes.
• Identifying systems, reports, or applications affected by upstream changes.
• Gain insights needed to optimize data flows.
• Eliminate redundancies.
• Ensure regulatory compliance across the entire ecosystem.