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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 KgBase?

KgBase, which stands for Knowledge Graph Base, serves as a robust collaborative platform equipped with version control, analytical features, and visualization tools. It empowers users and communities to develop knowledge graphs that facilitate insight extraction from their datasets. Users can easily upload CSV files and spreadsheets or make use of the API for collaborative data management. Through its user-friendly interface, KgBase allows for the construction of knowledge graphs without any coding, enabling straightforward navigation of graphs and the presentation of results in various formats such as tables and charts. The platform supports interactive engagement with graph data; as users formulate queries, the results refresh instantly, simplifying the experience compared to traditional query languages such as Cypher or Gremlin. Furthermore, graph data can be displayed in tabular format, making it easy to analyze results regardless of the dataset's scale. KgBase is adept at managing both vast graphs containing millions of nodes and smaller projects with equal efficiency. Users can select between cloud hosting and self-hosting options, which accommodates a wide variety of databases. Organizations can kickstart their graph capabilities by utilizing existing templates to ease the onboarding process. Additionally, any query results can be swiftly converted into visual chart formats, thus improving the clarity and understanding of data insights. This versatility and user-centric design position KgBase as an exceptional choice for those aiming to harness the potential of knowledge graphs in their analytical projects, fostering deeper understanding and more informed decision-making.

Media

Media

Integrations Supported

Integrations Supported

Amazon Neptune
Azure Cosmos DB
Facebook
JanusGraph
Neo4j
OrientDB

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$19 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

RelationalAI

Company Location

United States

Company Website

relational.ai/

Company Facts

Organization Name

KgBase

Company Location

United States

Company Website

www.kgbase.com

Categories and Features

Graph Databases

Not specified

Relational Database

Not specified

Categories and Features

Graph Databases

Not specified

No-Code Development

Not specified

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