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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

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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

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GDB: Graph Database

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Merge DB => Get results

Get results in real-time

Structured

Data Collection

Structured / Unstructured

Table

Data Modelling

Intuitive visualization (node, edge)

Difficult to understand structure

Complex Data Analysis

Easy to understand

Requires separate entries in multiple tables

New DB Input

Automatic matching with one input

Gets slower as the data becomes more complex due to join operation between tables

Processing Speed

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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Manufacturing

Finance

Government / Public Sector

Distribution / Logistics

Media / Healthcare

Automation

Fraud Detection

Smart Cities

Fleet Management

Content Recommendation

Supply Chain Optimization

Risk Management

Public Safety

Inventory Control

Patient Care Management

Predictive Maintenance

Customer Analytics

Transportation Management

Route Optimization

Genomic Data Analysis

Quality Control

Regulatory Compliance

Policy Planning

Demand Forecasting

Medical Research

Discover the Power of AgensGraph

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

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