Denodo Platform for Azure

The Denodo Platform for Microsoft Azure accelerates time-to-insight and data services with ready-to-use, modern data virtualization for Azure.

Quickly deploy and configure your Denodo hybrid cloud data virtualization system on Azure with Denodo’s automated cloud infrastructure management capabilities. Launch Denodo images optimized for Azure and take advantage of Microsoft’s flexible time-based licensing options. The Denodo Platform for Azure can be used by the hour, by subscription, or BYOL (bring your own license).

The Denodo Platform for Azure features a unified web-based user interface with single-sign-on, an AI-powered data catalog, hyper-performance with ML-enhanced smart query optimization and configuration settings, the Apache Zeppelin-based Denodo Notebook, and much more. The Denodo Platform for Azure offers the same full-featured capabilities as the award-winning Denodo Platform deployed in on-premises environments.

The Denodo Platform for Azure is available via four subscription offerings. 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 Enterprise and Enterprise Plus provide logical data fabric solutions that take data virtualization to advanced levels.

Comparison Table Overview

Features Denodo Professional
Starting at $6.27/hour
Denodo Standard
Starting at $10.63/hour
Denodo Enterprise
Starting at $15/hour
Denodo Enterprise Plus
Starting at $21.26/hour
Pay-as-you-go (hourly) or annual subscription
Number of data sources Up to 5 data sources Unlimited Unlimited Unlimited
Number of Development* and Solution Manager** Instances 1 1 1 1
Performance Optimizations
+ Smart Query Acceleration + MPP

+ Smart Query Acceleration + MPP
Security - RBAC, Authentication mechanism (LDAP, AD, Kerberos, SSO), Authorization, Encryption, Masking, and More
Data lineage
Denodo Notebook (Apache Zeppelin-based) for Data Science
Version Control
Data Catalog
Advanced Diagnostics
AI based Data Discovery and
Summary Recommendation
Collaboration Semantics - Endorsements, warnings and deprecation
Tag based policies
*Only available with an annual subscription
**Available on request

Included in Denodo’s out-of-the-box connectivity to 150+ cloud and on-premises data sources, is optimized connectivity including the following Microsoft Azure services:


Azure SQL Database


Azure Synapse Analytics


Azure Data Lake Storage gen2


Azure Database for PostgreSQL


Azure Database for MySQL


Azure CosmoDB


Azure Blob


Azure HDInsight

The Denodo Platform and Azure - Hybrid Logical Data Warehouse: Reference Architecture


Data Virtualization not only has helped TransAlta for a smooth transition to the cloud, but also has helped TransAlta easily adhere to multiple data governance and compliance rules.


More customers on Azure


Key Use Cases



By integrating on-premises data stores (e.g. traditional enterprise data warehouses, analytical appliances, databases, etc.), Azure data warehouses, and SaaS applications, such as Salesforce, the Denodo Platform offers a single logical point from which to seamlessly query the combined data in real time using any BI or reporting tool, regardless of where the source data is stored, and without having to copy any data.



While organizations move their data to Azure databases and storage for cloud-based data warehousing solutions, the Denodo Platform for Azure abstracts the data location from consuming analytics tools and operational applications, minimizing the impact to business users and applications during the migration process.



Data lakes, IoT architectures, noSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML, and AI. However, it can be time-consuming to explore and understand all of the available data within a company. Leverage the Apache Zeppelin-based Denodo Notebook, integrated security capabilities, and advanced data catalog functionality in Denodo Enterprise to easily browse existing datasets and quickly analyze the data, regardless of its physical location.


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