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What is Volumez?

We facilitate the development of flexible data infrastructure that opens up endless opportunities. Volumez operates as a Software as a Service (SaaS) platform for this composable data infrastructure, enabling users to deploy cloud applications with precise control over input and output characteristics via a completely declarative interface. This groundbreaking method separates storage, networking, and computing resources from their physical locations, allowing for dynamic allocation tailored to the specific needs of applications. Volumez evaluates the performance and features of each infrastructure component, leveraging these insights to create direct data pathways between storage devices and applications on Linux systems. Once the composition is finalized, the control plane recedes, granting applications the ability to interact directly with their data. This efficient architecture allows applications to realize enterprise-level logical volumes while maintaining consistently superior performance, along with advanced Linux services such as snapshots, thin provisioning, and erasure coding. Ultimately, Volumez transforms how businesses utilize data infrastructure, enhancing efficiency and flexibility to adapt to evolving demands. This innovative framework not only streamlines operations but also empowers organizations to maximize their data potential in a rapidly changing technological landscape.

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.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Volumez

Company Location

United States

Company Website

volumez.com

Company Facts

Organization Name

RelationalAI

Company Location

United States

Company Website

relational.ai/

Categories and Features

Categories and Features

Relational Database

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

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