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What is InfiniteGraph?

InfiniteGraph is a highly scalable graph database engineered to handle rapid ingestion of extensive data volumes, processing billions of nodes and edges each hour while facilitating intricate queries. It is adept at efficiently distributing interconnected graph data across a worldwide organization. As a schema-driven graph database, InfiniteGraph accommodates very sophisticated data models and boasts an exceptional schema evolution feature that permits alterations and enhancements to an existing database structure. With its Placement Management Capability, InfiniteGraph optimizes the arrangement of data items, resulting in significant enhancements in both query execution and data ingestion speeds. Moreover, the database incorporates client-side caching that stores frequently accessed nodes and edges, allowing InfiniteGraph to operate similarly to an in-memory graph database, thus improving performance further. Additionally, InfiniteGraph’s specialized DO query language empowers users to execute complex queries that extend beyond typical graph capabilities, a feature that sets it apart from other graph databases in the market. This flexibility makes it a powerful tool for organizations that need to analyze and manage large-scale interconnected data efficiently.

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.

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

Objectivity

Date Founded

1988

Company Location

United States

Company Website

www.infinitegraph.com

Company Facts

Organization Name

GraphAware

Date Founded

2013

Company Location

United Kingdom

Company Website

graphaware.com

Categories and Features

Categories and Features

Data Analysis

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

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