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Understanding Cloudera Data Visualization deployment options

Cloudera Data Visualization is integrated with the Cloudera platform, providing seamless access to data and enabling users to explore and visualize data across its entire lifecycle.

You can deploy Cloudera Data Visualization in several ways within the Cloudera ecosystem. Each deployment type offers a distinct different user experience, feature set, and configuration model. This guide compares the available options to help you select the most suitable one for your use case and ensure optimal performance.

The comparison covers the following Cloudera Data Visualization deployment options:

  • Integrated with Cloudera Data Warehouse
  • Embedded in Cloudera AI’s Data tab (Data Discovery and Visualization)
  • Standalone application in Cloudera AI
  • Deployed in Cloudera Base on premises
Table 1. Key features of Cloudera Data Visualization deployment options
Deployments

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Features		 Cloudera Data Visualization in Cloudera Data Warehouse Data Discovery and Visualization (Data tab in Cloudera AI) Cloudera Data Visualization standalone application in Cloudera AI Cloudera Data Visualization in Cloudera Base on premises
Integration method Integrated with Cloudera Data Warehouse data service, providing direct access to virtual warehouses A streamlined version embedded in the Data tab of Cloudera AI A standalone instance deployed as a Cloudera AIapp A standalone service in Cloudera Base on premises, deployed using Cloudera Manager and integrated with platform services for authentication and data access
Primary use case Visualization optimized for large data warehouse workload, supporting high-performance SQL analytics and business intelligence use cases Fast, in-context data exploration in Cloudera AI projects, enabling quick analysis, iterative discovery, and basic data quality checks Full-featured visualization and dashboarding for sharing insights with a broad audience General-purpose visualization and reporting across diverse data sources, supporting foundational insights and broad data exploration
Access permissions Managed through Cloudera Data Warehouse user groups, mapped to Cloudera Data Visualization roles Inherited from Cloudera AI project roles Inherited from Cloudera AI project roles Managed through Cloudera Data Visualization roles
Site settings

Site Settings available

No Advanced Settings

Site Settings available as Explore Data Settings

Advanced Settings also available

 Full Site Settings and Advanced Settings available Full Site Settings and Advanced Settings available
Data connection management Pre-populated Hive/Impala settings Auto-sync with Cloudera AI project data connections Auto-sync with Cloudera AI project data connections Manual configuration, no auto-discovery
SQLite / DuckDB support Not supported Supported Supported Supported
API access Not supported

Supported

Requires Enable Unauthenticated Access

Supported

Requires Enable Unauthenticated Access

Supported when not using Knox

Requires API_KEY_HEADER='X-API-KEY' when using API keys through Knox SSO
Embedding Not supported

Supported

Requires

  • IS_EMBED=true added to the environment variables
  • Enable Unauthenticated Access option enabled
  • CDSW_FRAME_ANCESTORS environment variable set

Supported

Requires

  • IS_EMBED=true added to the environment variables
  • Enable Unauthenticated Access option enabled
  • CDSW_FRAME_ANCESTORS environment variable set
 Not verified
Dashboard emailing

Supported

Specific email capabilities depend on Cloudera Data Warehouse configuration

Not supported in embedded mode

Workaround is to use a standalone app

 Supported Supported
Scheduled jobs

Supported

Not supported

Supported

Supported