Fivetran, an automated data movement platform, has officially finalized its merger with dbt Labs, the pioneer behind dbt and a leader in structured, AI-ready data standards. Initially operating under the combined name Fivetran + dbt Labs, the all-stock transaction unites two prominent modern data stack platforms. The corporate consolidation aims to deliver a new paradigm of open, secure, and scalable data infrastructure designed specifically for enterprise artificial intelligence.
A New Data Foundation Crafted for Agentic AI
As AI moves from being human-aided assistants to becoming autonomous agents, the requirements for enterprise data systems that underpin AI applications have been fundamentally transformed. Autonomous AI agents work with the data ecosystem continuously, concurrently, and at machine speed. Companies that want to deploy autonomous agents without any human supervision need to have data that is consistently reliable, up-to-date, governed, and always available within their multi-cloud environment.
Fivetran + dbt Labs addresses this paradigm shift by constructing a unified infrastructure layer that ensures AI workflows remain verifiable and precise. The integrated platform pairs Fivetran’s real-time, fully managed data replication with dbt’s structured governance, version-controlled business logic, and shared semantic definitions. Operating strictly on open standards, this combined architectural foundation mitigates vendor lock-in, enabling enterprises to maintain cost control and portable business logic across any cloud data warehouse or query engine.
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“The next generation of enterprise AI will be defined by the quality and trustworthiness of the underlying data,” said George Fraser, CEO and Co-Founder of Fivetran + dbt Labs. “Together, Fivetran and dbt Labs are creating the infrastructure layer that helps organizations deliver governed, high-quality, and semantically rich data to power trusted AI agents at scale.”
“The companies that deploy AI successfully over the next decade will be the ones whose agents can be trusted to act,” said Tristan Handy, President and Co-Founder of Fivetran + dbt Labs. “Trust is built at the infrastructure layer, on high-quality tooling and on open standards. That’s the bet we’re making together.”
Introducing Joint Product Innovations for the AI Era
Coinciding with the close of the merger, Fivetran + dbt Labs unveiled its inaugural joint product roadmap, targeting developer efficiency, data orchestration, and open-source accessibility. Key rollouts include:
- dbt Core v2.0 (Alpha): The company has released the highly efficient Fusion runtime on its journey to increase its open-source ecosystem through open source technology release. The use of the Fusion engine within dbt Core v2.0 results in 10 times faster parsing speed, Rust-based execution, scalability of projects, and advanced documentation experience.
- dbt State (Preview): To combat escalating cloud warehousing costs, this state-aware caching layer analyzes pipeline metadata and SQL logic to build only the data models that have experienced upstream structural or code changes. Early deployments indicate this optimization reduces warehouse compute costs by an average of 30% while accelerating development iterations.
- dbt Wizard (Beta): An AI-native assistant purpose-built for analytics engineering, designed to autonomously write, optimize, refactor, and troubleshoot complex data models within production environments.
- Agents Schema: An innovative open-source standard that is now available on GitHub and uses a single database schema to act as a common context layer for AI agents. Using this schema, metric definitions, semantic parameters, and data lineage of dbt are stored in standardized SQL tables, allowing compatibility with any cloud-based data warehouse or any SQL-based autonomous model with enterprise-level security policies in place.
Supporting a Global Data Ecosystem
The combined entity now supports a global footprint of more than 100,000 data teams, including thousands of mutual enterprise clients. Organizations utilizing both platforms have noted that establishing a highly structured and governed data lifecycle is a prerequisite for scaling reliable AI applications.
“AI and agents are only as strong as the data behind them. By investing in Fivetran and dbt, we’ve built the reusable, trusted data assets that are central to how we scale AI and drive innovation,” said Piyush Bhargava, Sr. Director Global Data & Analytics at DocuSign.
Fivetran + dbt Labs will showcase these newly launched capabilities and outline the long-term open data infrastructure roadmap during an upcoming live virtual interactive broadcast featuring Tristan Handy and Taylor Brown on June 25th.
