Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

GraphBase is a Graph Database Management System designed to streamline the development and upkeep of intricate data graphs. While Relational Database Management Systems often struggle with complex and interconnected structures, graph databases offer superior modeling capabilities, enhanced performance, and greater scalability. The existing range of graph database solutions, including triplestores and property graphs, has been available for almost twenty years; although they are effective tools with diverse applications, they still fall short in managing intricate data structures. With the introduction of GraphBase, we aimed to facilitate the handling of complex data architectures, allowing your information to evolve into something greater—Knowledge. We accomplished this by reimagining the management of graph data, ensuring that the graph is prioritized as a fundamental component. In GraphBase, users benefit from a graph equivalent of the familiar "rows and tables" framework, which contributes to the user-friendly nature of Relational Databases, making it easier to navigate and manipulate data. Ultimately, GraphBase transforms how organizations view and interact with their data, paving the way for innovative possibilities.

Description

Data engineers and scientists can be 95% better at their jobs with ready access to the most flexible semantic layer, explainable AI and reusable data modelling. They can create and expand semantic models, understand data interrelationships, and run federated query to speed up time to insight. Stardog's graph data virtualization and high performance graph database are the best available -- at a price that is up to 57x less than competitors -- to connect any data source, warehouse, or enterprise data lakehouse without copying or moving data. Scale users and use cases at a lower infrastructure cost. Stardog's intelligent inference engine applies expert knowledge dynamically at query times to uncover hidden patterns and unexpected insights in relationships that lead to better data-informed business decisions and outcomes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hackolade No 
KeyLines No 
ReGraph No 
Salesforce No 
TerminusDB No 
data.world No 

Integrations

Hackolade Yes 
KeyLines Yes 
ReGraph Yes 
Salesforce Yes 
TerminusDB Yes 
data.world Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
Options for Free, Essentials, Premium, and Enterprise
Free Trial Yes 
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 Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

FactNexus

Founded

2010

Country

Australia

Website

graphbase.ai/

Vendor Details

Company Name

Stardog Union

Founded

2006

Country

United States

Website

www.stardog.com

Product Features

Product Features

Data Management

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

Alternatives

Alternatives

GraphDB Reviews

GraphDB

Ontotext
InfiniteGraph Reviews

InfiniteGraph

Objectivity
AnzoGraph DB Reviews

AnzoGraph DB

Cambridge Semantics