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ease
features
design
support

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Write a Review

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

Develop your Knowledge Layer through a user-friendly visual interface that facilitates interaction with the knowledge graph. You can create and query this graph while enriching domain concepts with relevant data. By activating bots, you can enhance the knowledge graph with dynamic connections, allowing for a more interconnected experience. The platform also supports the creation and composition of services using functional composition features, enabling users to add and manage services seamlessly within the knowledge graph. It offers both interactive and scripted access to essential system actions, making operations more efficient. Additionally, the system incorporates schema management, data loading, querying, and administrative capabilities. The command line interface can be easily expanded with custom plug-ins, providing developers with the flexibility to introduce new functionalities. Knowledge applications, which are specific use cases developed by clients on the Maana platform, provide AI-driven insights that aid in operational decision-making. Each knowledge application consists of decision models designed to execute real-time calculations tailored to user needs. Importantly, customers are restricted from accessing knowledge applications created by other users, ensuring privacy and uniqueness in their implementations. This approach fosters a dedicated environment where clients can innovate and customize their knowledge solutions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

GraphAware

Founded

2013

Country

United Kingdom

Website

graphaware.com

Vendor Details

Company Name

Maana

Founded

2012

Country

United States

Website

www.maana.io/knowledge-platform/

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization Yes 

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