Distributed data silos make it difficult for organizations to use all their data, so they make decisions using only a partial view of the facts. The Denodo Platform enables you to create a centralized, logical data platform that decouples data access from the complexities of the underlying data sources, regardless of where the data resides, to make business-friendly views of all enterprise data. IT can now deliver a flexible data architecture that empowers business users to connect to a single location for real-time access to quality data and provides the security team with a centralized point for monitoring and managing all data access.
The Denodo Platform for AWS automates infrastructure management on AWS, including cluster configuration (load-balancing, autoscaling, etc.), start/stop controls, automatic installation of updates, and integrated monitoring.
The Denodo Platform for AWS features a unified web-based user interface with single-sign-on, an artificial intelligence (AI)-powered data catalog, hyper-performance with machine learning (ML)-enhanced smart query optimization and configuration settings, the Apache Zeppelin-based Denodo Notebook, and much more.
The Denodo Platform for AWS is available on the AWS Marketplace by the hour, by annual/multi-year subscription, or through BYOL (bring your own license).
The Denodo Platform for AWS is available via four subscription tiers: Denodo Professional is an entry-level subscription designed to help you get started with data virtualization. Denodo Standard provides data virtualization to your entire company, while Denodo Enterprise and Enterprise Plus provide logical data fabric solutions that take data virtualization to advanced levels. More details on the various subscription tiers can be found here.
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.