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Description
GraphAware presents Hume, an innovative platform for data analytics and intelligence analysis that leverages graph technology to convert isolated structured and unstructured data into a cohesive web, enhancing insight and decision-making capabilities. Central to Hume's functionality are the principles of knowledge graphs and graph databases, which allow for the seamless ingestion, unification, and representation of data as interconnected networks of nodes and relationships, empowering analysts and data scientists to explore, query, and visualize complex connections and concealed patterns without the necessity of mastering intricate query languages. This platform provides a unified perspective of truth across various data sources, speeds up the identification of subtle relationships and behavioral patterns, and facilitates advanced graph data science techniques such as node influence analysis, link prediction, community detection, and automated alerting, all bolstered by integrated machine learning and features from large language models (LLMs). By streamlining the access and analysis of diverse data sets, Hume not only enhances the efficiency of data exploration but also opens up new avenues for strategic decision-making.
Description
Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GraphAware
Founded
2013
Country
United Kingdom
Website
graphaware.com
Vendor Details
Company Name
TopQuadrant
Country
United States
Website
www.topquadrant.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management