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 |
**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
HYBRID LOGICAL DATA WAREHOUSING
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.
ACCELERATED CLOUD MIGRATIONS
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.
SIMPLIFYING AI/ML IN THE CLOUD
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.
