What is a Graph Database?

A Graph Database represents data as interconnected nodes/vertices and edges, highlighting the relationships between objects. This structure makes it easy to visualize and analyze complex connections within your data

Vertex

+

Edge

=

Graph

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Transforming Data into Visual Insights

Graph databases provide powerful tools for effectively managing and gaining insights from large-scale, unstructured data

RDB: Relational Database
Table-based DB
GDB: Graph Database
Intuitive Visualization of Graph DB
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RDB vs GDB

Experience user-optimized, real-time analysis with Graph Databases, delivering insights that traditional relational databases can't match.

RDB: Relational Database
GDB: Graph Database
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VS

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Merge DB => Get results
Get results in real-time
Structured
Table
Difficult to understand structure
Requires separate entries in multiple tables
Gets slower as the data becomes more complex due to join operation between tables
Data Collection
Data Modelling
Complex Data Analysis
New DB Input
Processing Speed
Structured / Unstructured
Intuitive visualization (node, edge)
Easy to understand
Automatic matching with one input
Fast, even if the data is complex

Industry-Specific Graph Database Applications

Crucial Technology for Data-Driven Industrial Applications
Utilized as a key technology in various industries where data analysis is critical

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ManufacturingFinanceGovernment / Public SectorDistribution / LogisticsMedia / Healthcare
AutomationFraud DetectionSmart CitiesFleet ManagementContent Recommendation
Supply Chain OptimizationRisk ManagementPublic SafetyInventory ControlPatient Care Management
Predictive MaintenanceCustomer AnalyticsTransportation ManagementRoute OptimizationGenomic Data Analysis
Quality ControlRegulatory CompliancePolicy PlanningDemand ForecastingMedical Research
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Discover the Power of AgensGraph

Explore the advanced functionalities of AgensGraph and see how it can improve your data analysis processes