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What is Graphlytic?

Graphlytic is an online business intelligence platform that facilitates the visualization and analysis of knowledge graphs. Users can interactively navigate the graph, searching for patterns with the help of the Cypher query language or utilizing query templates designed for those without a technical background. Additionally, filters can be applied to effectively address any inquiries related to the graph. This visualization tool offers profound insights across various fields, including scientific research and anti-fraud efforts. Even individuals unfamiliar with graph theory can readily delve into the data. The graph rendering is powered by Cytoscape.js, which can handle tens of thousands of nodes and an extensive number of relationships. Graphlytic is accessible in three different formats: Desktop, Cloud, or Server, catering to diverse user needs. The Graphlytic Desktop version is a Neo4j Desktop application that can be installed effortlessly in just a few clicks. For small teams seeking a swift setup without the hassle of installation, Cloud instances provide an ideal solution, ensuring they can start working quickly and efficiently. This flexibility greatly enhances the platform's usability across different organizational contexts.

What is Apache TinkerPop?

Apache TinkerPopâ„¢ is a dynamic graph computing framework that caters to both online transaction processing (OLTP) in graph databases and online analytical processing (OLAP) within graph analytic systems. At the heart of this framework lies Gremlin, a robust graph traversal language that empowers users to craft complex queries and traversals on their application's property graph with finesse. Each traversal in Gremlin comprises a sequence of steps that can be nested, offering significant flexibility in how data is explored and analyzed. Fundamentally, a graph is formed by interconnected vertices and edges, each capable of containing various key/value pairs referred to as properties. Vertices represent unique entities such as people, places, or events, while edges denote the relationships that link these vertices together. For instance, a vertex could signify an individual who knows another person, attended a specific event, or visited a certain place recently. This framework proves especially advantageous when tackling intricate domains filled with diverse objects (vertices) that can be linked through various types of relationships (edges). By grasping this structural design, users can maximize the potential of their data and extract meaningful insights from their interconnected networks. Ultimately, the ability to navigate and analyze such complex relationships enhances decision-making processes and drives innovation across various fields.

Media

Media

Integrations Supported

Azure Cosmos DB
Gremlin
JanusGraph
Neo4j

Integrations Supported

Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python

API Availability

Has API

API Availability

Has API

Pricing Information

19 EUR/month
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Demtec

Date Founded

2014

Company Website

graphlytic.biz

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

tinkerpop.apache.org

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Trend / Problem Indicators
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
Simulation Models
Visual Discovery

Graph Databases

Not specified

Graphing

Not specified

Knowledge Management

Collaboration
Content Management
Full Text Search
Knowledge Base Management
Self Service Portal

Categories and Features

Graph Databases

Not specified

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