Suppliers United States Cube Dev

	Cube Dev
HQ Location	United States
HQ City	San Francisco
Year Founded	2019
Company Type	Private
Revenue	< $10m
Employees	11 - 50
Website	Open website

Cube Dev

HQ Location

United States

HQ City

San Francisco

Year Founded

2019

Company Type

Private

Revenue

< $10m

Employees

11 - 50

Website

Open website

Company Description	Cube is the company behind the wildly popular Cube Open Source project and delivers the Enterprise-ready Cube Cloud that includes additional functionality - such as integrations with Power BI, Tableau, and Looker - along with robust developer tools, observability, security, and compliance making it easy to quickly deploy, monitor, and use Cube across any sized business. Cube is the universal semantic layer that makes it easy to connect data silos, create consistent metrics, and make them accessible to all of your BI tools, customer-facing embedded analytics, as well as LLMs, AI Chatbots, and agents. Read More
Contents

Company Description

Cube is the company behind the wildly popular Cube Open Source project and delivers the Enterprise-ready Cube Cloud that includes additional functionality - such as integrations with Power BI, Tableau, and Looker - along with robust developer tools, observability, security, and compliance making it easy to quickly deploy, monitor, and use Cube across any sized business.

Cube is the universal semantic layer that makes it easy to connect data silos, create consistent metrics, and make them accessible to all of your BI tools, customer-facing embedded analytics, as well as LLMs, AI Chatbots, and agents.

Cube Dev is a provider of Industrial IoT platform as a service (paas), analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), functional applications, and processors and edge intelligence technologies, and also active in the buildings, cement, construction and infrastructure, e-commerce, education, equipment and machinery, healthcare and hospitals, national security and defense, retail, and semiconductors industries.

Technologies

Application Infrastructure & Middleware

Data Exchange & Integration

Data Visualization

Database Management & Storage

Event-Driven Application

Middleware, SDKs & Libraries

Analytics & Modeling

Big Data Analytics

Edge Analytics

Predictive Analytics

Infrastructure as a Service (IaaS)

Cloud Databases

Public Cloud

Functional Applications

Inventory Management Systems

Warehouse Management Systems (WMS)

Processors & Edge Intelligence

Embedded & Edge Computers

Platform as a Service (PaaS)

Application Development Platforms

Use Cases

Building Automation & Control

Experimentation Automation

Inventory Management

Picking, Sorting & Positioning

Retail Store Automation

Tamper Detection

Time Sensitive Networking

Traffic Monitoring

Transportation Simulation

Usage-Based Insurance

Functions

Maintenance

Procurement

Product Research & Development

Quality Assurance

Sales & Marketing

Warehouse & Inventory Management

Industries

Buildings

Cement

Construction & Infrastructure

E-Commerce

Education

Equipment & Machinery

Healthcare & Hospitals

National Security & Defense

Retail

Semiconductors

Services

Cloud Planning, Design & Implementation Services

System Integration

Testing & Certification

Training

Cube Dev’s Technology Stack maps Cube Dev’s participation in the platform as a service (paas), analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), functional applications, and processors and edge intelligence IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Case Studies13

	Leveraging Cube Semantic Layer for Data Consolidation in Healthcare: A COTA Case Study COTA, a healthcare company founded in 2011, specializes in combining oncology expertise with advanced technology and analytics to organize real-world medical treatment data for cancer research and care. They have access to millions of electronic oncology patient records, a data volume unmatched in the oncology healthcare industry. One of their products, the Real World Analytics (RWA) solution, helps clinicians and researchers make sense of fragmented and often incomplete electronic health records (EHR) data. However, COTA faced challenges with their existing off-the-shelf solutions like Qlik and Tableau, which required heavy customization and specialty configuration knowledge. They sought a more developer-friendly ecosystem that could handle their vast data and provide a single source of truth.
	Ternary's Innovative Approach to Managing Customer Generated Data at Scale Ternary, a FinOps platform provider for Google Cloud (GCP) customers, was facing the challenge of managing and analyzing the large volume of cost-related data generated by its rapidly growing customer base. The platform, which aids cloud engineers, IT finance, and business teams in optimizing public cloud costs, had to deal with the complexities of providing a SaaS platform at scale. The challenge was to break down costs by projects and other dimensions across a time series for users with many values in a given dimension. The company was frequently running into issues with Cube’s response limit of 50,000 rows, which could result in incomplete datasets and inaccurate total cost calculations. The challenge was to present complete, accurate data to users, enabling them to perform multidimensional analysis of vast volumes of cost data.
	sublimd's Custom Client Dashboards: A Cube Semantic Layer Success Story sublimd, an award-winning medical software platform based in Switzerland, was facing a significant challenge in early 2019. They had received a request for a new module, sublimd Analytics, from a client. At that time, they had an open-source business intelligence server solution in their product. However, they were struggling with preconfiguring their analytics dashboards and delivering them ready-to-use to their non-technical customers. They needed a solution that would allow them to have full control over the customer configuration, which would be tracked in a version-control system. The challenge was to find a solution that would fit their technology stack, which included Node.js, MySQL, and Redis, and allow for a simpler deployment process.

VIEW ALL >

Download PDF Version

Overview

Cube Dev

IoT Snapshot

Technology Stack

Case Studies