Denodo Platform

Data virtualization provides a virtual or logical approach to accessing, managing, and delivering data without replicating it in a physical repository.

Data virtualization integrates siloed data across all enterprise systems, regardless of data format, location, or latency.

Data virtualization enables organizations to manage related data with a universal semantic model, providing enhanced metadata and AI/ML functionality, enabling vital data governance.

Data virtualization delivers and democratizes data in real time, leveraging BI and data science tools, a powerful data catalog, and APIs.

Provides up-to-the-moment data access by querying source systems directly, so analytics, operational processes, and AI-driven applications always use the most current data—without costly replication.

Creates a unified semantic layer with rich metadata, for consistent business meaning across all data sources to enhance AI-driven insights, data governance, and decision-making.

Empowers business users with a self-service data marketplace, enabling seamless access to governed, trusted data without requiring IT.

Enforces enterprise-wide data governance with centralized policy management and fine-grained access control, facilitating compliance while enabling secure, distributed data access.

Enhances productivity with AI-driven recommendations, natural language queries, and automated insights, to simplify data exploration and preparation.

Delivers real-time, context-rich data using retrieval-augmented generation (RAG) techniques to improve GenAI accuracy, reduce hallucinations, and streamline deployment.

Seamlessly integrates with 200+ data sources and enables broad data consumption via SQL, REST, GraphQL, and other standard APIs.

Adaptable to a wide variety of use case requirements, from real-time data federation to selective materialization (caching, aggregation-aware summaries), full replication (ETL, ELT, micro batching), and streaming.