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What is Oracle Spatial and Graph?

Graph databases, an essential component of Oracle's converged database offering, eliminate the need for creating a separate database and migrating data. This innovation empowers analysts and developers in the banking industry to perform fraud detection, reveal connections and relationships within data, and improve traceability in smart manufacturing, all while enjoying the advantages of enterprise-grade security, seamless data ingestion, and strong support for diverse data workloads. The Oracle Autonomous Database features Graph Studio, which provides a one-click setup, integrated tools, and enhanced security protocols. Graph Studio simplifies the oversight of graph data and supports the modeling, analysis, and visualization throughout the entirety of the graph analytics process. Oracle accommodates both property and RDF knowledge graphs, facilitating the representation of relational data as graph structures. Furthermore, users can execute interactive graph queries directly on the graph data or through a high-performance in-memory graph server, allowing for effective data processing and analysis. This incorporation of graph technology not only augments the capabilities of data management within Oracle's ecosystem but also enhances the overall efficiency of data-driven decision-making processes. Ultimately, the combination of these features positions Oracle as a leader in the realm of advanced data management solutions.

What is Katana Graph?

Streamlined distributed computing greatly improves the performance of graph analytics while minimizing the need for significant infrastructure modifications. By integrating a wider array of data for standardization and visualization within the graph framework, the depth of insights can be notably enhanced. The synergy between developments in graph technology and deep learning produces efficiencies that enable rapid insights on the largest graphs available. Katana Graph provides financial services companies with the necessary tools to explore the expansive opportunities presented by graph analytics and AI at scale, facilitating applications that range from real-time fraud detection to detailed customer insights. Utilizing advancements in high-performance parallel computing (HPC), Katana Graph’s smart platform assesses risks and reveals customer insights from vast data sets through swift analytics and AI capabilities that outperform traditional graph technologies. This innovative strategy empowers organizations to remain ahead of emerging trends and make informed, data-driven decisions confidently, ultimately driving business success.

Media

Media

Integrations Supported

QGIS
TransCAD

Integrations Supported

QGIS
TransCAD

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
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/graph/

Company Facts

Organization Name

Katana Graph

Date Founded

2020

Company Location

United States

Company Website

katanagraph.com

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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