Denodo Enterprise helps you deliver a logical data fabric Enterprise to support your data management needs across your organization. It incorporates features that accelerate the delivery of governed data to business applications, in the most appropriate format for each consumer, across multiple, geographically distributed, heterogeneous systems.

Denodo Enterprise integrates and delivers data from Azure, SaaS and other data sources. Discover delivers smart data virtualization designed for public and hybrid cloud. Access data directly, in real-time. Denodo Enterprise enables large enterprise organizations to quickly get started and address their data management and data integration challenges in a hybrid cloud environment. With Denodo’s no-code/low-code modern data virtualization, you can quickly create a logical data warehouse that combines cloud and on-premises databases, data lakes, and applications using a web UI. Denodo leverages metadata and integrates with SSO to make sure your data is governed and secure.

Key Features Include:

● 150+ out-of-the-box connectors to quickly connect sources and targets in real time.

● Role-based security, data masking, single sign-on (SSO), SSL encryption, and pass-through support.

• Data catalog to enable self-service and data discovery for business users with enhanced collaboration, profiling and search features.

● Web-based Design Studio tool for developers, providing ease-of-use across all of the steps in the data-service development process.

● Advanced Optimization and Caching engine that leverages 20 years of experience in complex multi-source queries.

● Smart query acceleration and MPP execution for analytics: Partial aggregates (“summaries”) are pre-computed to accelerate future queries.

● GraphQL, REST and OData support: zero-code creation of data APIs.

Top benefits:

• Deliver data to the business 90% faster than with traditional data pipelines.

• Reduce costs by not replicating data.

• Real time data access.

• Faster more secure with a lower TCO than other data integration approaches.