Looker vs Hashboard
Side-by-side comparison of AI visibility scores, market position, and capabilities
Google Cloud BI platform with LookML semantic layer ensuring consistent metric definitions across enterprises; $2.6B Google acquisition competing with Tableau and Power BI for enterprise self-service analytics.
About
Looker is a business intelligence and data analytics platform now part of Google Cloud — providing the LookML data modeling language, self-service exploration tools, embedded analytics, and natural language querying capabilities that enable data teams to define metrics once and make them available consistently across the organization. Founded in 2012 in Santa Cruz, California by Lloyd Tabb and Ben Porterfield, Looker was acquired by Google for $2.6 billion in 2019 and has been integrated into Google Cloud as the primary BI platform alongside Google Looker Studio (formerly Data Studio).
Hashboard is a BI-as-code analytics platform; raised $7M (Matrix Partners); acquired by Hex in Apr 2025; version-controlled semantic layer for warehouse-native BI.
About
Hashboard is a business intelligence platform built around the concept of BI-as-code, enabling data teams to define metrics, dimensions, and dashboards as code that lives in version control alongside the rest of their data infrastructure. Founded in 2019 and headquartered in New York, Hashboard addresses the governance and reproducibility challenges that arise when BI configurations are managed through point-and-click interfaces that cannot be reviewed, tested, or rolled back. By treating the semantic layer as a code artifact, Hashboard aligns analytics development with the software engineering practices that modern data teams already use for pipeline development.
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