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.

Represents all data assets in an abstracted form, decoupled from the source systems that store the data.

Enhances productivity and data management through AI-driven capabilities, such as recommending relevant datasets, assisting with natural language queries, and offering suggestions for query acceleration and data preparation.

Provides a data catalog that simplifies data discovery, using business-friendly terms and concepts tailored to the needs of data consumers, free of complex technical jargon.

Easily connect to a wide range of data sources with 200+ connectors, and publish for easy sharing using SQL, JSON, REST, and GraphQL APIs.

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

The centralized application of governance and fine-grained security policies that apply to any data and any access method, along with comprehensive data activity audit logs.

Enhance GenAI responses and speed up GenAI initiatives with real-time, context-rich data using RAG techniques to improve accuracy, reduce hallucinations, and streamline deployment across hybrid, multi-cloud environments.