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Cube
The universal semantic layer for modern data applications and AI
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About Cube

Cube is the next evolution of OLAP technology, representing a universal semantic layer platform that transforms how enterprises manage and consume data. As a headless business intelligence platform, Cube provides the essential infrastructure for efficient data modeling, access control, and performance optimizations without duplicating analytics modeling across different tools. The platform connects to all SQL-enabled data sources including cloud data warehouses like Snowflake and BigQuery, organizing data into consistent definitions and delivering it to every application via REST, GraphQL, and SQL APIs. Cube's built-in relational caching engine provides sub-second latency and high concurrency for API requests, making it ideal for embedded analytics, dashboards, and data applications. The platform addresses the critical challenge of metric consistency across organizations by pushing metrics definition up the data stack and ensuring that the same metrics reach all downstream applications. With support for both batch and streaming data through integrations with Kafka and ksqlDB, Cube enables real-time analytics capabilities. The platform is designed for data engineers and application developers who need to build modern data applications with consistent, governed, and performant access to data. Cube Cloud offers managed infrastructure with instant access for development projects, while self-hosted options provide flexibility for enterprise deployments.
Key Features
  • Universal semantic layer

  • Headless BI architecture

  • REST/GraphQL/SQL APIs

  • Built-in caching engine

  • Access control and security

  • Pre-aggregations for performance

  • Multi-tenant support

  • Real-time data support

  • Cloud and on-premise deployment

  • Integration with modern data stack

Tags
headless BI
semantic layer
OLAP
data modeling
embedded analytics
data warehouse
API
caching
multi-tenant
real-time analytics