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What is Oracle Spatial?

In line with Oracle's mission to allow users to view data in new and creative ways while revealing deep insights, Oracle Database now includes advanced features for machine learning, spatial analysis, and graph capabilities. Users with an Oracle Database license can take advantage of these state-of-the-art tools for both development and deployment, whether in on-premise setups or through Oracle Cloud Database Services. The integration of Oracle's spatial database into the converged database architecture makes it easier for developers and analysts to launch location intelligence analytics and mapping services. This functionality significantly enhances the capabilities of Geographic Information System (GIS) professionals, enabling them to develop sophisticated geospatial applications seamlessly. Moreover, organizations gain the advantage of managing different types of geospatial data, performing a wide range of spatial analytical tasks, and leveraging dynamic map visualization capabilities through the spatial features provided in both Oracle Autonomous Database and Oracle Database. These improvements not only enhance data management efficiency but also encourage greater innovation and creativity in the field of data analytics, making it an invaluable asset for businesses aiming to harness the full potential of their data resources. Ultimately, Oracle’s latest features position it as a leader in the evolving landscape of data technology.

What is CMaps Analytics?

CMapsAnalytics.js was developed to empower users to create and integrate engaging map experiences that highlight the connections among people, assets, events, and geographical areas. This tool prioritizes enterprise-level analytics in its design. With a history of tens of thousands of business intelligence developers relying on our solutions, we have successfully tackled numerous core challenges associated with transforming web mapping APIs, like Google Maps, into valuable business tools. Our cloud-based methodology facilitates rapid prototyping of various map experiences through an intuitive, code-free Designer. Additionally, users can utilize CMaps Analytics JavaScript to enrich, connect, and embed their maps into any cloud or on-premise applications they choose. Organizations that have made investments in enterprise systems or business intelligence can effortlessly weave location intelligence into their operations using CMaps Analytics extensions, enabling them to maximize their existing resources for better decision-making. Ultimately, the combination of versatility and strength found in CMaps Analytics makes it an essential resource for contemporary organizations looking to fully capitalize on their data assets. By leveraging this powerful tool, businesses can elevate their operational efficiency and gain a competitive edge in their respective markets.

Media

Media

Integrations Supported

Oracle Cloud Infrastructure
Oracle Database
Oracle Database Backup Cloud Service

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/spatialandgraph.html

Company Facts

Organization Name

Centigon Solutions

Date Founded

2008

Company Location

United States

Company Website

cmapsanalytics.com

Categories and Features

GIS

Not specified

Location Intelligence

Not specified

Categories and Features

GIS

Census Data Integration
Color Coding
Geocoding
Internet Mapping
Interoperability
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

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