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What is GraphAware?

GraphAware introduces Hume, a cutting-edge platform designed for data analytics and intelligence evaluation, which utilizes graph technology to transform disparate structured and unstructured data into an integrated web, thereby improving insight and decision-making processes. At the heart of Hume’s capabilities are knowledge graphs and graph databases, which enable the smooth ingestion, unification, and visualization of data as interconnected networks of nodes and their relationships, allowing analysts and data scientists to investigate, query, and reveal intricate connections and hidden trends without needing to learn complex query languages. This platform offers a comprehensive view of truth derived from multiple data sources, accelerates the discovery of nuanced relationships and behavioral trends, and supports advanced graph data science methods like node influence analysis, link prediction, community detection, and automated alerts, all enhanced by incorporated machine learning and features from extensive language models. By simplifying the access and examination of varied data sets, Hume not only boosts the efficiency of data exploration but also creates new possibilities for informed strategic decision-making. As a result, organizations can leverage Hume to gain a competitive edge in their analytical pursuits.

What is Anahita?

Anahita functions as a dynamic platform and framework aimed at developing applications that focus on open science and the sharing of knowledge, all grounded in social networking principles. Through Anahita, users can create networks designed for online education and knowledge sharing, provide information access regarding people, places, and objects, and launch initiatives related to open science and open data, in addition to establishing collaborative online environments and cloud back-ends for mobile apps. It boasts a genuine nodes and graphs architecture, complete with specific design patterns optimized for crafting social networking applications. Moreover, Anahita's native framework features a graph-based architecture and fundamental design patterns that facilitate the seamless integration of social applications. Unlike conventional web applications, Anahita structures data as a web of interconnected nodes and graphs, making it particularly adept at supporting real-time analytics. The platform is built using open-source technologies, such as the LAMP stack and JavaScript, which are easily accessible to developers around the globe, thereby promoting a collaborative development atmosphere. This open accessibility not only stimulates innovation but also nurtures a lively ecosystem of applications developed on the Anahita framework, providing endless possibilities for users and developers alike. Ultimately, Anahita stands out as a robust solution for anyone looking to harness the power of collaborative knowledge sharing in a modern digital landscape.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

GraphAware

Date Founded

2013

Company Location

United Kingdom

Company Website

graphaware.com

Company Facts

Organization Name

Anahita

Date Founded

2011

Company Location

Canada

Company Website

www.getanahita.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Social Networking

Activity / News Feed
Advertising Management
Blogs
Data Security
Event Management
Group Management
Media Library
Privacy Options
Real-time Chat
Social Media Integration
Social Media Tagging
User Profiles

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