Denodo Data Platform Enterprise Plus (Denodo Enterprise Plus) integrates and provides data from AWS, SaaS, and other data sources. Explore intelligent data virtualization designed for public and hybrid clouds. Direct real-time access to data. Denodo Data Platform Enterprise Plus (Denodo Enterprise) enables large enterprise organizations to quickly get started and solve data management and data integration challenges in hybrid cloud environments.

Included components
An example of a production environment for Denodo Data Platform Enterprise Plus, also known as a virtual data port (VDP)
Denodo Solution Manager (Solution Manager) is available through the BYOL Marketplace List
Production environment instances are only available to customers who purchase an annual subscription
All subscription models include Denodo standard support, but the system health check package that helps you optimize the implementation of the Denodo data platform is only used for annual subscription customers

Key features:
Integrate, manage, and deliver data across unlimited data sources in a hybrid cloud environment
Presto based embedded MPP engine to speed up data lake queries
Intelligent data catalog for querying, searching, and browsing all connected data, providing data lineage and data correlation, and includes new data preparation features
Role-based security (RBAC), attribute-based access control (ABAC), data masking, single sign-on, SSL protocol encryption, and passthrough
Rich data delivery options, including various APIs (SOAP, REST, OData, and GraphQL)
Automated intelligent recommendations for data set and infrastructure management driven by AI/ML

Benefits for users using Denodo Data Platform Enterprise Plus (Denodo Enterprise Plus)
Businesses deliver data 90% faster than traditional data methods
There is no need to reduce costs without replicating data
Faster, more secure, and less costly than traditional data integration methods
Enjoy semantic-driven artificial intelligence assistance, improve data governance capabilities, and provide features such as endorsements, warnings, and deprecations
Reduce the burden on IT infrastructure by optimizing query engine computation and execution through AI-based performance recommendations

Application scenarios
Combine data from AWS, from SaaS with on-premise data and enable real-time analysis
Cloud migration and data warehouse modernization
Building Data as a Service Capabilities
Establishing an enterprise logical data warehouse and a single view of the business
Achieve highly centralized data security and data governance