Looker

Looker is a modern, cloud-first data platform that combines business intelligence, data modeling, and embedded analytics. Unlike traditional BI tools that rely on static reports and siloed data models, Looker uses a centralized semantic layer to define metrics once and reuse them everywhere, enabling governed self-service analytics and seamless embedding into applications.

Analysts and data engineers can use SQL-like modeling to define data structures in Looker, but most business users do not need to write SQL. They interact with governed data through an intuitive, point-and-click interface to explore, filter, and visualize data.

Yes. Looker connects to modern cloud data warehouses and databases, and offers APIs, connectors, and integrations with common data, collaboration, and productivity tools. This allows you to keep data in your existing warehouse while using Looker as the analytics and modeling layer.

Looker is built for scalability and governance that enterprises need, but it can also support smaller teams that require robust analytics, centralized metrics, and embedded use cases. The suitability depends more on your data maturity, use cases, and growth plans than on company size alone.

Looker’s exact pricing is not publicly listed and can vary based on factors such as deployment scale, number of users, and use cases like embedding. Organizations typically work with the sales team to design a plan that matches their requirements and expected growth.