Cube Introduces Semantic Layer to Simplify Company Data Management and Analysis

As businesses continue to grow and expand their digital presence, they are facing a new challenge: managing the vast amounts of data that come with it. Traditional data models have proven to be brittle and difficult to manage, leading to frustration and disappointment for organizations looking to derive value from their data. However, two entrepreneurs, Artyom Keydunov and Pavel Tiunov, have set out to change this by developing a new platform, Cube Cloud.

Table of Contents

The Problem with Traditional Data Models

In today’s digital age, data is more important than ever. It informs business decisions, drives innovation, and helps organizations stay ahead of the competition. However, traditional data models have proven to be inadequate in managing the complexity and scale of modern data sets. These models often rely on rigid structures that are inflexible and hard to maintain.

Keydunov and Tiunov observed this problem firsthand while working at Statsbot, a data analytics startup they co-founded in 2016. They saw how organizations struggled to get their "data house" in order, and it was this insight that led them to develop Cube Cloud.

Cube Cloud: A Universal Semantic Layer

Cube Cloud is an open-source project launched in 2019 that offers a universal semantic layer for organizational data. This layer serves as a bridge between various data sources and consumers, allowing different apps and utilities to work with the same semantics and underlying data.

Keydunov describes Cube Cloud as "an independent, yet interoperable, part of the modern data stack that sits between your data sources and data consumers." The platform provides a unified source of truth for all a company’s data and metrics, making it easier to connect various apps and utilities and derive value from the data.

Features and Benefits

Cube Cloud offers a range of features and benefits, including:

Role-based access controls: Ensure that only authorized users have access to sensitive data.
Data modeling: Easily create and manage complex data models with Cube Cloud’s intuitive interface.
Data integration: Seamlessly connect various data sources and consumers with Cube Cloud’s universal semantic layer.
Real-time analytics: Get instant insights into your data with Cube Cloud’s real-time analytics capabilities.

Investor Support

Cube Cloud has received significant support from investors, who see the potential for the platform to disrupt the traditional data management landscape. Keydunov notes that their investors encouraged them to raise equity in order to expand their go-to-market team and take advantage of the growing demand for AI and semantic layers.

The Future of Data Management

As businesses continue to navigate the complex world of data management, Cube Cloud is poised to play a major role. With its universal semantic layer and range of features and benefits, the platform offers a flexible and scalable solution for organizations looking to derive value from their data.

In conclusion, the evolution of data models is an ongoing process, and Cube Cloud represents a significant step forward in this journey. By providing a universal semantic layer and intuitive interface, the platform makes it easier for organizations to manage complex data sets and drive business success.

About the Author

Kyle Wiggers is a senior reporter at TechCrunch with a special interest in artificial intelligence. His writing has appeared in VentureBeat and Digital Trends, as well as various gadget blogs.