Cube serves as a semantic layer for building data applications, aimed at making data consistent and accessible while resolving the many-to-many problem in metrics definitions, access control, and caching settings. Unlike other tools such as Looker, dbt Metrics, and Lightdash, Cube provides a comprehensive solution with features like multiple API support, visualization agnosticism, and pre-aggregations for query acceleration. Cube's data modeling is inspired by LookML, organizing metrics into "cubes" that can be modeled over tables or complex queries, and includes measures, dimensions, segments, and pre-aggregations. It supports connectivity to various data sources and downstream tools using SQL, REST, and GraphQL APIs, enabling flexible data presentation across BI tools, data notebooks, and front-end applications. Additionally, Cube Cloud offers a managed hosting option with tools like the Playground and data model editor, supporting easy integration and experimentation with data models. Through its integration with dbt, Cube can automatically generate data models, enhancing its applicability across the data stack and ensuring relevance to BI tools.