Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    5 Ratings
    Company Website
  • Google Cloud SQL Reviews & Ratings
    510 Ratings
    Company Website
  • TeamDesk Reviews & Ratings
    92 Ratings
    Company Website
  • Advantage Reviews & Ratings
    36 Ratings
    Company Website
  • Macaw AMS Reviews & Ratings
    5 Ratings
    Company Website
  • Noteable Reviews & Ratings
    56 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    3 Ratings
    Company Website
  • Semarchy xDM Reviews & Ratings
    63 Ratings
    Company Website
  • 3 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website

What is RelationalAI?

RelationalAI stands at the forefront of database technology, specifically designed to optimize advanced data applications utilizing relational knowledge graphs. By emphasizing a data-centric approach to application development, it seamlessly integrates data with logic into modular structures. These advanced applications are adept at understanding and leveraging every relationship within a given model. Utilizing a knowledge graph framework, the system articulates knowledge through executable models that can be easily expanded with declarative programs, which are both accessible and user-friendly. The versatile declarative language offered by RelationalAI allows developers to significantly reduce the amount of code needed, achieving reductions between 10 to 100 times, which in turn accelerates application development and improves quality by enabling non-technical users to participate in the creation process while simultaneously automating intricate programming tasks. By harnessing a flexible graph data model, users can establish a strong data-centric infrastructure. Moreover, the integration of various models facilitates the discovery of new relationships, effectively breaking down barriers that separate different applications. This pioneering methodology not only enhances the efficiency of development but also encourages collaboration across multiple domains, ultimately creating a more interconnected ecosystem for innovation. In this way, RelationalAI is redefining the standards for how data applications are built and utilized.

What is AnzoGraph DB?

AnzoGraph DB offers an extensive suite of analytical tools that can greatly enhance your analytical framework. This video demonstrates how AnzoGraph DB operates as a native graph database with Massively Parallel Processing (MPP) capabilities, specifically engineered for data integration and analysis. It is designed for horizontal scalability, making it ideal for online analytical processes and addressing the challenges associated with data integration. Address the intricacies of linked data and data integration with AnzoGraph DB, a prominent contender in the analytical graph database sector. The platform provides strong online performance, making it well-suited for large-scale enterprise graph applications. AnzoGraph DB is compatible with well-known semantic graph languages such as SPARQL*/OWL, and it also supports Labeled Property Graphs (LPGs). With access to a wide array of analytical, machine learning, and data science capabilities, users can uncover insights with unparalleled speed and scale. Additionally, it emphasizes the importance of context and relationships among data points during analysis, featuring extremely fast data loading and quick execution of analytical queries. This unique combination of features establishes AnzoGraph DB as an indispensable resource for organizations aiming to maximize the effectiveness of their data usage, allowing businesses to stay ahead in an increasingly data-driven world.

Media

Media

Integrations Supported

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

Integrations Supported

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

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

RelationalAI

Company Location

United States

Company Website

relational.ai/

Company Facts

Organization Name

Cambridge Semantics

Date Founded

2007

Company Location

United States

Company Website

www.cambridgesemantics.com/anzograph/

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Categories and Features

Popular Alternatives

Virtuoso Reviews & Ratings

Virtuoso

OpenLink Software

Popular Alternatives

Grakn Reviews & Ratings

Grakn

Grakn Labs
Apache TinkerPop Reviews & Ratings

Apache TinkerPop

Apache Software Foundation
Aster SQL-GR Reviews & Ratings

Aster SQL-GR

Teradata
GraphBase Reviews & Ratings

GraphBase

FactNexus