Houseware Launches Integration With the dbt Semantic Layer to Accelerate Warehouse-native Data Apps

The integration empowers SaaS businesses to create a revenue experience by leveraging consistent, accurate business metrics

Houseware, the world’s first warehouse-native revenue experience company, announced it has partnered with dbt Labs, the pioneer in analytics engineering, and released an integration with the newly launched dbt Semantic Layer. This will help joint customers extend the value of their data workflows to non-technical business users by standardizing how key business metrics are defined.

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“Houseware is helping to solve a core problem by improving access to key business metrics in revenue teams. With this Semantic Layer integration, mutual customers are one step closer to a data experience built on top of a universal semantic layer”

Houseware powers the revenue experience for leading SaaS businesses by providing an easy-to-use canvas on top of cloud data platforms like Snowflake and BigQuery. Houseware is a part of the select set of Semantic Layer Launch Partners announced at dbt Labs’ annual conference Coalesce, held this year in New Orleans, USA.

“Houseware is helping to solve a core problem by improving access to key business metrics in revenue teams. With this Semantic Layer integration, mutual customers are one step closer to a data experience built on top of a universal semantic layer,” said Cameron Afzal, Product Manager for the Semantic Layer at dbt Labs.

Houseware users connect to the dbt Semantic Layer to bring their centrally defined metrics front and center for immediate downstream consumption. By leveraging this power of the Semantic Layer, Houseware provides its users with an easy-to-use canvas to create data apps and access to an ecosystem of integrations across Slack and Google Chrome.

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Thanks to the dbt Semantic Layer, users can define core business metrics once under version control, then query them from anywhere. For customers, the Semantic Layer acts as the glue that binds these best-of-breed data tools together into a more unified, less fragmented stack. The Semantic Layer vision will help improve precision and consistency while expanding flexibility and capability in the modern data stack.

“We are excited to be partnering with dbt Labs to make a warehouse-native data apps ecosystem come alive,” said Divyansh Saini, Co-founder at Houseware. “The value of the data ecosystem today is fairly limited to a few highly technical personas. A large set of users who work with data are users who do not care too much about tables, columns, rows, or schemas. The dbt Semantic Layer allows Houseware to abstract the underlying data into high-fidelity metrics that business users understand and own inside an organization.”

Houseware is the leading, fastest-growing warehouse-native company building the future of customer data on top of cloud data warehouses. The Houseware product is privately available to beta customers. In June 2022, Houseware won the Snowflake ($SNOW) Startup Challenge 2022 held at Snowflake Summit in Las Vegas, Nevada, where the company was chosen as the winner amongst 300+ startups that participated across 70+ countries

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