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Denodo Data Virtualization

Denodo

(35 ratings)

Denodo Data Virtualization

Denodo

(35 ratings)

Integrate and deliver data from Azure, on-premise and cloud sources in real time without replication

What is the Denodo Platform for Microsoft Azure?
The only pure-play data virtualization product in the cloud, the Denodo Platform for Microsoft Azure delivers the exact same capabilities as the award winning on-premises version of the Denodo Platform.
The Denodo Platform for Microsoft Azure offers a multi-location architecture deployment on public cloud, private cloud, and hybrid cloud environments without sacrificing performance, security, or governance capabilities.
It has been specifically designed to provide location transparency, minimizing expensive data movement across hybrid cloud or multi-cloud environments.
KEY ENTERPRISE GRADE FEATURES INCLUDE:
  • Intelligent Query Optimization to enhance performance and reduce egress charges.
  • An intelligent, multi-mode cache that minimizes data movement.
  • MPP processing with Spark, Impala, and Presto, in big data scenarios.
  • Role-based security, Data Masking, SSO with Kerberos, SSL, encryption, and pass-through support.
  • Data delivery options include support for API web services (SOAP, REST, OData).
Top 5 Benefits of the Denodo Platform for Microsoft Azure:
  • Easy access to a wide breadth of data such as Azure Synapse, Azure data lake storage, Blob, etc.
  • On-premises, cloud, and multi-cloud inter-operability.
  • Fast and intelligent execution of complex data queries.
  • Flexible packaging and pricing to support a variety of user needs.
  • Deployment models that enhance automation via container support and licensing simplicity.
Do these use cases sound familiar?
  • Cloud and data warehouse modernization support for easy and cost-effective cloud migration.
  • Advanced BI/analytics and the acceleration of data science in the cloud with a full-featured data catalog.
  • Hybrid data fabric for real-time cloud integration, including support for SaaS configurations.
  • Delivery of the right data in a usable format to accelerate data scientists workflows with Spark, Python, notebooks and others.
  • Expose datasets via web services API (REST, OData 4, GeoJSON and others) in a agile way with no coding involved.
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