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Cube | Company Profile - Revenue, Headcount, Tech Stack, Contacts

3/11/2026

Contact Information

👤
Cube
🏢
Cube
📍
981 mission street, san francisco, california, united states

Industry & Market

Primary Industry
information technology & services
All Industries
information technology & servicescomputer software
Location
San Francisco, California, United States

Company Metrics

👥Total Employees
42
⚙️Engineering
16
💼Sales Team
6
📈Marketing
4
📅Founded
2019
💰Revenue
1.1M
Alexa Ranking#492454

Funding Information

Total Funding
$48.7M
Latest Stage
Venture (round not specified)
Annual Revenue
$1,100,000

Headcount Distribution

Total Employees
42
Departments
19

By Department

Department Breakdown

Engineering
Education
Sales
Marketing
Support
Entrepreneurship
Others

Technology Stack

Analytics & Tracking

Data AnalyticsGoogle Tag ManagerSAP Analytics Cloud

Social & Marketing

Linkedin Marketing Solutions

Video & Media

YouTube

Email & Communication

Gmail
Total: 36 technologies

Keywords & Focus Areas

open sourcebusiness intelligenceapisdatabasescachinganalyticsquery performancesemantic layerdeveloper toolsembedded analyticsllmssoftware developmentdata modelinganalytics solutionsdata integrationdata orchestrationdata visualizationenterprise data managementapi integrationsreal-time data+10 more
30 total keywords

Cube

Overview

Cube is an analytics platform that connects various data sources to business intelligence tools, embedded analytics, and AI applications. It features an open-source universal semantic layer that enhances clarity and consistency in business data. The platform addresses challenges from fragmented data models by offering a code-first, dataset-centric approach managed through YAML or JavaScript, with Git version control and CI/CD capabilities.

Two main products are offered: Cube Core, an open-source project forming the foundation of the semantic layer, and Cube Cloud, a secure cloud platform for enterprise use. Cube Cloud provides pre-aggregation caching, data APIs, and code generation for data models, supporting real-time analytics, embedded analytics, and a native BI frontend for collaborative modeling and visualization. Designed for data engineers, analysts, business users, and AI agents, the platform facilitates tasks such as performance analysis and automated reporting, while ensuring integration with major cloud providers and modern data stacks for flexibility and interoperability.

Basic Information

Industry information technology & services
Founded 2019
Revenue 1.1M
Headquarters 981 Mission Street, San Francisco, California, United States
Alexa Ranking 492454

Contact Details

Key Focus Areas & Initiatives

  • open source
  • business intelligence
  • apis
  • databases
  • caching
  • analytics
  • query performance
  • semantic layer
  • developer tools
  • embedded analytics
  • llms
  • software development
  • data modeling
  • analytics solutions
  • data integration
  • data orchestration
  • data visualization
  • enterprise data management
  • api integrations
  • real-time data
  • data consumption
  • cloud data warehouse
  • olap
  • ai-ready data
  • data metrics consistency
  • data sources compatibility
  • data insights
  • performance analytics
  • data access control
  • data pre-aggregation
  • big data
  • data aggregation
  • multi-cluster deployment
  • query optimization
  • analytics downtime reduction
  • etl processes
  • metric definition
  • data lineage
  • data governance
  • multi-tenancy
  • self-service analytics
  • collaborative dashboards
  • business insights
  • data refresh
  • sla management
  • data query performance
  • data security compliance
  • data exploration tools
  • unified data access
  • machine learning integration
  • data synchronization
  • data source connectors
  • support for bi tools
  • custom metrics
  • jupyter notebooks
  • excel integration
  • google sheets integration
  • event analytics
  • data service levels
  • b2b
  • consulting
  • services
  • computer software
  • information technology & services
  • enterprise software
  • enterprises

Technologies Used

  • AI
  • Amazon AWS
  • Android
  • CrazyEgg
  • Data Analytics
  • Databricks
  • GitHub
  • Gmail
  • Google Apps
  • Google Cloud BigQuery
  • Google Font API
  • Google Tag Manager
  • Hubspot
  • Javascript
  • Kubernetes
  • Linkedin Marketing Solutions
  • MailChimp SPF
  • Mailchimp Mandrill
  • Mapbox
  • Mixpanel
  • Mobile Friendly
  • Netlify
  • React
  • React Native
  • React Redux
  • Redshift
  • Remote
  • Route 53
  • SAP Analytics Cloud
  • SQL
  • Segment.io
  • Snowflake
  • UptimeRobot
  • VueJS
  • WebCube
  • YouTube

Affiliated Organizations & Regional Branches

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