Semantic interoperability
Written by The Count Team
Automatically convert LookML, Snowflake, and OSI models into Count Metrics—no rewrites, no lock-in, just a unified semantic layer that stays in sync.
TL;DR Today we’ve launched automatic conversion of LookML, Snowflake, and OSI models into Count Metrics, making it easy to use or migrate your existing semantic layer in Count without rewriting it.
A year ago we introduced Count Metrics: our own take on a semantic layer. We wrote at the time about our decisions and process behind creating our own format in a world, and as we’ve gone on to build Count’s AI agent, we and our customers have seen the benefit of the increased metadata and context available, and the power of catalog-backed compute-layer to accelerate agent query iteration.
In that time we’ve also helped numerous customers convert their existing LookML, Snowflake, and other data models into Count Metrics. Sometimes focusing on small, underserved parts of the business, but often complete soup-to-nuts conversions.