Fragmented data silos and slow, brittle pipelines make it hard for organizations to use all of their data — limiting insight, increasing risk, and constraining AI at scale. The Denodo Platform provides a centralized, logical data layer that delivers live, business-ready views of enterprise data across AWS and beyond, decoupling access from the complexity of underlying sources. Integrated with Amazon SageMaker, Denodo supplies a universal semantic layer so AI agents and analytics operate with consistent context, real-time data, and built-in governance. Deployed in your own AWS environment or as a fully managed service with Agora, Denodo enables secure, zero-copy access to trusted data — empowering faster decisions while giving IT and security teams centralized control and visibility.
The Denodo Platform provides a unified and trusted data access and delivery layer that offers all the capabilities necessary to build a data fabric, data mesh or a data hub. It provides a common semantics layer to expose data more quickly to the business, a dynamic data catalog for semantic search and enterprise-wide data governance, industry-leading query acceleration supported by machine learning, embedded data preparation capabilities for self-service analytics, better privacy and compliance, and greater automation of data management, with the AI-powered Denodo Assistant.
With Denodo, customers now have two options to meet these needs: the Denodo Platform, deployable in your own AWS environment for full control, and Agora, our fully managed cloud service on AWS, offering an entirely managed experience with the same rich data capabilities.
Amazon Redshift
Amazon Athena
Amazon Aurora
Amazon S3
Amazon RDS
Amazon EMR
Denodo’s integration with Amazon Bedrock allows enterprises to build secure, governed GenAI applications by providing real-time, trusted data from multiple sources. The Denodo Platform's unified semantic layer ensures comprehensive governance, security, and data access control. Leveraging retrieval-augmented generation (RAG) and Amazon OpenSearch as the vector database ensures that Amazon Bedrock LLMs have access to the relevant enterprise data, delivering accurate responses with minimal risk. This integration accelerates the development of scalable GenAI applications that provide precise, actionable insights.