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Description

HyperGraphDB serves as a versatile, open-source data storage solution founded on the sophisticated knowledge management framework of directed hypergraphs. Primarily created for persistent memory applications in knowledge management, artificial intelligence, and semantic web initiatives, it can also function as an embedded object-oriented database suitable for Java applications of varying scales, in addition to serving as a graph database or a non-SQL relational database. Built upon a foundation of generalized hypergraphs, HyperGraphDB utilizes tuples as its fundamental storage units, which can consist of zero or more other tuples; these individual tuples are referred to as atoms. The data model can be perceived as relational, permitting higher-order, n-ary relationships, or as graph-based, where edges can connect to an arbitrary assortment of nodes and other edges. Each atom is associated with a strongly-typed value that can be customized extensively, as the type system that governs these values is inherently embedded within the hypergraph structure. This flexibility allows developers to tailor the database according to specific project requirements, making it a robust choice for a wide range of applications.

Description

eccenca Corporate Memory offers an all-encompassing platform that integrates various disciplines for the management of rules, constraints, capabilities, configurations, and data within a single application. By transcending the shortcomings of conventional application-focused data management approaches, its semantic knowledge graph is designed to be highly extensible and integrates seamlessly, allowing both machines and business users to interpret it effectively. This enterprise knowledge graph platform enhances global data transparency and promotes ownership across different business lines within a complex and ever-evolving data landscape. It empowers organizations to achieve greater agility, autonomy, and automation while maintaining the integrity of existing IT infrastructures. Corporate Memory efficiently consolidates and connects data from diverse sources into a unified knowledge graph, and users can navigate their comprehensive data environment using intuitive SPARQL queries and JSON-LD frames. The platform's data management is executed through the use of HTTP identifiers and accompanying metadata, ensuring a structured and efficient organization of information. Overall, eccenca Corporate Memory positions itself as a transformative solution for modern enterprises grappling with data complexities.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Active Directory No 
Microsoft Excel No 
OAuth No 

Integrations

Active Directory Yes 
Microsoft Excel Yes 
OAuth Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 Yes 
Mac Yes 
Linux Yes 
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 Yes 
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) Yes 
In Person Yes 

Vendor Details

Company Name

Kobrix Software

Founded

2015

Country

United States

Website

hypergraphdb.org

Vendor Details

Company Name

eccenca

Founded

2013

Country

Germany

Website

eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory

Product Features

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis No 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics Yes 

Data Discovery

Contextual Search Yes 
Data Classification No 
Data Matching Yes 
False Positives Reduction No 
Self Service Data Preparation Yes 
Sensitive Data Identification Yes 
Visual Analytics Yes 

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management No 
Email Management No 
Policy Management Yes 
Process Management No 
Roles Management No 
Storage Management No 

Data Management

Customer Data Yes 
Data Analysis No 
Data Capture Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security No 
Information Governance Yes 
Master Data Management No 
Match & Merge Yes 

Data Mining

Data Extraction Yes 
Data Visualization Yes 
Fraud Detection No 
Linked Data Management Yes 
Machine Learning Yes 
Predictive Modeling No 
Semantic Search Yes 
Statistical Analysis No 
Text Mining Yes 

Knowledge Management

Artificial Intelligence (AI) No 
Cataloging / Categorization Yes 
Collaboration No 
Content Management No 
Decision Tree No 
Discussion Boards No 
Full Text Search No 
Knowledge Base Management Yes 
Self Service Portal Yes 

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