Announcing Houseware as a Semantic Layer Launch Partner with dbt Labs

We are excited to announce today that we have partnered with dbt Labs, the pioneer in analytics engineering, and released an integration with the newly launched dbt Semantic Layer. Through the flexible yet powerful Semantic Layer that empowers consistent metrics, this ushers the modern revenue teams into a new era of building experiences on top of the cloud data warehouse.

At Houseware, we are proud to lead this category by creating a modern warehouse-native revenue experience for our customers. We empower consistent metrics, alerts, actions, and shareable intelligent data apps through our warehouse-native approach of extending revenue teams to become data superheroes. 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.

Built by a team of data practitioners and widely adopted by 50,000+ community members, dbt Labs is the pioneer in analytics engineering. Over the past two years, dbt has emerged as the cloud's industry standard for data transformation. dbt enables data teams to transform data in-warehouse and deploy analytics code following software engineering best practices.

dbt Labs has emerged as the cloud’s industry standard for data transformation. We are excited to partner with dbt Labs to make a warehouse-native data apps ecosystem come alive. Today's value of the data ecosystem 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.

Divyansh Saini, Co-founder at Houseware

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. With a few clicks to connect to the dbt Semantic Layer, Houseware users can 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.

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. It enables a modern revenue analytics experience, significantly lowering the time to value for the revenue function, helping teams focus on the business value and build a robust data culture.

Cameron Afzal, Product Manager for the Semantic Layer at dbt Labs

Thanks to the dbt Semantic Layer, users can define core business metrics once under version control, then query them from anywhere. For customers, Houseware 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.

The announcement comes soon after Houseware’s launch of Metrics by Houseware and emerging as the winner of the Snowflake Startup Challenge in 2022 amongst 300+ startups across 70+ countries. The Houseware product is privately available to beta customers - if you are excited by what we are building, sign up for the beta today or shoot us a short note at divyansh@houseware.io.