Why We Built Count Metrics: A New Approach to the Semantic Layer
Written by The Count Team
Count Metrics: Seamless, cost-effective analytics with standardized metrics and agile exploration. Empower your team with deeper insights and flexible governance.
At Count, we're known for empowering users with intuitive analytics and lightning-fast exploratory workflows. Yet we kept encountering a persistent challenge: how to maintain consistency, reusability, and governance around core metric definitions without sacrificing the flexibility our users love. While semantic layers aren't a novel concept, we envisioned something different—a solution that would seamlessly integrate with Count's flexible exploratory style while delivering uncompromised performance and accessibility.
EnterCount Metrics—our vision of what a semantic layer could do as well as should do.
We could have integrated with established players like Looker, Cube, or dbt Semantic Layer. Instead, we chose to craft our own solution. Here's why: