dbt Labs Launches on Google Cloud and Google Cloud Marketplace to Power Data and AI Workflows
dbt Labs, the pioneer in analytics engineering, today announced dbt Cloud is now deployable on Google Cloud. This empowers organizations with flexibility to choose how they architect their data and AI environments, while centralizing spend. In addition, dbt Cloud is now available via Google Cloud Marketplace, giving customers the freedom to access the secure, scalable data platform via a new channel. This new multi-tenant instance allows organizations to leverage dbt Cloud and meet often complex data residency and compliance requirements. Simultaneously, dbt will continue to enable data teams to build and manage faster, more efficient data and AI workflows on Google Cloud’s BigQuery, a unified, AI-ready data analytics platform.
“We are excited to launch our partnership with Google Cloud to expand customer access to dbt Cloud, enable our customers to deploy how and where they want to manage their data estates, and continue to deliver a world class experience for current and future joint customers,” said Brandon Sweeney, President and Chief Operating Officer at dbt Labs. “As the standard for AI on structured data, dbt is helping teams boost data quality while shipping trusted data faster. Together, we can empower more teams to embrace the Analytics Development Lifecycle (ADLC).”
dbt Labs is also strengthening its integration with the BigQuery platform by launching full support for DataFrames, a Python API for data analysis and building machine learning (ML) workflows. In conjunction with new authentication enhancements, users can combine dbt and BigQuery to improve data quality and trust, key requirements for AI on structured data. As BigQuery ranks in the top three data connections used by the 100,000-plus members of the dbt Community, this more robust integration will better support data teams as they analyze data and execute ML tasks in the platform. More efficient data teams supported by dbt Copilot, an AI-powered data assistant in dbt Cloud, will enable BigQuery users to build their pipelines more accurately and more efficiently.
“Bringing dbt Cloud to Google Cloud Marketplace will help customers quickly deploy, manage, and grow their data and AI environments on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “dbt Labs can now securely scale and support customers on their digital transformation journeys.”
This expanded relationship with Google Cloud is the latest innovation milestone for dbt Labs, which recently crossed the $100M ARR threshold. Earlier this year, dbt Labs acquired SDF Labs to bring SQL comprehension into dbt and usher in a new era of ‘what’s possible’ for analytics: supercharging developer productivity and heightening data quality, all while optimizing data platform costs.
In addition, dbt Copilot is now generally available. With dbt Copilot, users can leverage the full context of their data—its relationships, metadata, and lineage—to automate routine tasks and consistently uphold key ADLC best practices like documentation, data testing, semantic modeling, and SQL formatting. The result is a refined, governed dataset that serves as a solid foundation for organizations to build high-quality analytics and advanced AI systems, leading to better business decisions.
