Oracle Exadata vs. Oracle Private Cloud Appliance vs. Oracle SQL Developer vs. Oracle Spatial Comparison Chart

Built-in full-stack management and patching speeds application deployment while reducing workload and OpEx for customer IT departments. Integrated Kubernetes and Docker support makes it easier for IT departments to implement scalable, cloud native workloads in on-premises private clouds, making the applications portable to Oracle Cloud Infrastructure. Pre-built Oracle VM templates enable customers to deploy applications, middleware, and databases faster than with do-it-yourself (DIY) solutions. Compute nodes can be added or removed from Oracle Private Cloud Appliance configurations without downtime to maximize application uptime and minimize TCO. Built-in software defined networking operates multiple internal networks over a single physical one, reducing the complexity of customer IT deployments and cutting workloads for network management teams.

In keeping with Oracle's mission to help people see data in new ways, discover insights, unlock endless possibilities, Oracle Database now includes machine learning, spatial and graph features. If you have an Oracle Database license, you can use all the industry-leading machine learning, spatial and graph capabilities for development and deployment purposes on-premise and in Oracle Cloud Database Services. Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database.