Machine Learning, Spatial and Graph – No License Required!

In keeping with Oracle’s mission to help people see data in new ways, discover insights, unlock endless possibilities, customers wishing to utilize the Machine Learning, Spatial and Graph features of Oracle Database are no longer required to purchase additional licenses.

As of December 5, 2019, the Machine Learning (formerly known as Advanced Analytics), Spatial and Graph features of Oracle Database may be used for development and deployment purposes with all on-prem editions and Oracle Cloud Database Services. See the Oracle Database Licensing Information Manual (pdf) for more details.

This latest announcement further enhances the benefits of Oracle’s multi-model converged architecture by supporting multiple data types, data models (e.g. spatial, graph, JSON, XML) and algorithms (e.g. machine learning, graph and statistical functions) and workload types (e.g. operational and analytical) within a single database. At no additional cost, customers can now take full advantage of the enterprise-class performance, reliability and security of Oracle Database for particular use cases, such as:

  • processing and analyzing all types of spatial data in business applications, GIS and operational systems
  • using graph analysis to discover relationships in social networks, detect fraud, and make informed recommendations
  • building and deploying machine learning models for predictive analytics

Developers and data scientists can use standard SQL interfaces and/or APIs with Oracle’s Machine Learning functions, Graph analytics and Spatial operators to develop their models and applications. Most importantly, Oracle’s converged data architecture approach spares customers the cost and complexity commonly associated with the multiple single-purpose database approach advocated by some. To learn more about this exciting development, read the following blogs:

Watch the video (below) to learn from Oracle’s Andy Mendelsohn how a multi-model converged database architecture is preferable to single-use databases for typical customer use cases.

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