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features
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support

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Description

AnzoGraph DB boasts an extensive array of analytical features that can significantly improve your analytical framework. Check out this video to discover how AnzoGraph DB operates as a Massively Parallel Processing (MPP) native graph database specifically designed for data harmonization and analytics. This horizontally scalable graph database is optimized for online analytics and tackling data harmonization issues. Addressing challenges related to linked data, AnzoGraph DB stands out as a leading analytical graph database in the market. It offers robust online performance suitable for enterprise-scale graph applications, ensuring efficiency and speed. AnzoGraph DB employs familiar SPARQL*/OWL for semantic graphs, while also accommodating Labeled Property Graphs (LPGs). Its vast array of analytical, machine learning, and data science tools empowers users to uncover new insights at remarkable speed and scale. By prioritizing context and relationships among data, you can enhance your analysis significantly. Additionally, the database enables ultra-fast data loading and execution of analytical queries, making it an invaluable asset for any data-driven organization.

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Tableau

Integrations

Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Tableau

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

Cambridge Semantics

Founded

2007

Country

United States

Website

www.cambridgesemantics.com/anzograph/

Vendor Details

Company Name

TopQuadrant

Country

United States

Website

www.topquadrant.com

Product Features

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Alternatives

GraphDB Reviews

GraphDB

Ontotext

Alternatives

HyperGraphDB Reviews

HyperGraphDB

Kobrix Software
GraphBase Reviews

GraphBase

FactNexus