Key Benefits of Denodo Standard 8.0
Faster time to insights and data services with real time cloud and hybrid data integration and delivery.
Integrate and make data available to any analytics tool or as data APIs with writing any code or copying data.
Create a logical data warehouse combining cloud data warehouses, data lakes and data from SaaS (software as a service) applications.
Quickly launch pre-configured Denodo Cloud data virtualization on AWS, Microsoft Azure, or Google Cloud Platform.
Flexible consumption-based pricing with a low starting point for small projects and departmental use.
Includes support, free onboarding courses, and a development license, to ensure success.
Denodo Standard 8.0 Features
Denodo high performance data virtualization to integrate and deliver data in real time.
Modern, unified Web UI with SSO (single sign on).
Wizard-driven visual no-code/low-code design studio with auto-suggestions and autocomplete.
No-code creation of data APIs: GraphQL, REST, OData with OAuth, SAML and Open API support.
Integrated Apache-Zeppelin-based data science notebook.
Automated cloud infrastructure management via solution manager.
Security - RBAC, Authentication mechanism (LDAP, AD, Kerberos, SSO).
Data lineage.
Up to 5 data sources.
1 Development instance and solution manager included.
Pay-as-you-go starting at $6.27 per hour or annual subscription (private offer).
Exclusively available via Cloud Marketplaces.
Denodo Standard speeds access to real-time data
Data Virtualization for Analytics
Quickly deploy real-time access to cloud and on-premises data sources - structured and unstructured - to provide a faster, more agile analytics.
Real-Time Data Services
Integrate data from cloud and on-premises systems and make it available as data APIs for operations and consuming applications with build a microservices architecture.
Accelerate Cloud Migration
Reduce the complexity, risk and business disruptions of cloud migrations by abstracting the sources databases and applications from business users and systems using the data with a virtual data layer to mask complexity.
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