Cube | Company Profile - Revenue, Headcount, Tech Stack, Contacts
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Keywords & Focus Areas
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
- Phone: +1 415-230-0549
- Website: cube.dev
- LinkedIn: linkedin.com/company/cube-dev
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