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Average Ratings 0 Ratings

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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

Introducing a Go entity framework that serves as a robust and straightforward ORM, perfect for both modeling and querying data. This framework offers a simple API that allows developers to represent any database schema as Go objects seamlessly. With the ability to execute queries, perform aggregations, and navigate complex graph structures effortlessly, it stands out for its user-friendly design. The API is entirely statically typed and features an explicit interface through code generation, ensuring clarity and reliability. The latest iteration of the Ent framework introduces a type-safe API that permits ordering based on fields and edges, with plans for this feature to be integrated into its GraphQL capabilities shortly. Additionally, users can easily generate an Entity Relationship Diagram (ERD) of their Ent schema with a single command, enhancing visualization. The framework further simplifies the incorporation of features like logging, tracing, caching, and soft deletion, all achievable with just 20 lines of code. Moreover, Ent supports GraphQL using the 99designs/gqlgen library and offers various integration options. It facilitates the generation of a GraphQL schema for nodes and edges defined within the Ent schema, while also addressing the N+1 problem through efficient field collection, eliminating the need for complex data loaders. This combination of features makes the Ent framework an invaluable tool for developers working with Go.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Docker No 
Go No 
GraphQL No 
Homebrew No 
MariaDB No 
MySQL No 
PostgreSQL No 
SQLite No 

Integrations

Docker Yes 
Go Yes 
GraphQL Yes 
Homebrew Yes 
MariaDB Yes 
MySQL Yes 
PostgreSQL Yes 
SQLite Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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

ent

Country

United States

Website

entgo.io

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

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