Oracle Analytics supports the entire analytics workflow, offering a variety of ways to connect, prepare, and analyze data. Support business users by enabling self-service access to relevant data no matter where it resides in cloud infrastructure.
Perform a scheduled, federated query to receive trusted numbers for analysis.
Learn about governed analytics
Ensure data is current for ad hoc requests and connect to visualization tools via JDBC.
Share live, interactive visual objects into a web app with low-code/no-code embedding.
Learn about visualization capabilities
Access specified, higher-level analytic content on demand or scheduled.
Learn about automated processes
Create and add operational, static reporting to your own applications.
Learn about Analytics Publisher
Produce custom datasets for downstream analytics and machine learning.
The Oracle Analytics platform is available in the cloud with Oracle Analytics Cloud (OAC), on-premises with Oracle Analytics Server (OAS), or in a hybrid deployment using both.
Oracle Analytics connects to many enterprise data sources, including third-party. Connected data sources can be cloud, on-premises, or self-service datasets.
Develop and deliver enterprise-class governed semantic models to ensure a consistent view of business-critical data.
Whether importing data from files or connecting to existing sources, accelerate the last mile of data preparation.
Ensure that business users access up-to-date, certified reports from verified datasources that leverage approved metrics, calculations, and KPIs.
Oracle Analytics can be launched directly from a browser on any device, embedded in internally or externally facing sites, or accessed via mobile.
Oracle Analytics Cloud Professional
$16/user per month or
$1.0753/OCPU per hour
Oracle Analytics Cloud Enterprise
$80/user per month or
$2.1506/OCPU per hour
$0.3226/ OCPU per hour
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