
dbt Labs
dbt is the market leader in data transformation. It is a critical component of modern data infrastructure and enables a range of data-powered products from analytics to AI.
About dbt Labs
Why we invested
- A best in class product that's central to our data infrastructure thesis
- dbt is the fastest growing data and AI tool according to Databricks. Strong data infrastructure is a prerequisite to success in AI, and dbt is an essential part of modern data infrastructure
- Used by >25k data teams including large enterprises like McDonalds, Nasdaq, and JetBlue
Investment overview
- Last funding date
- Feb 24, 2022
- Valuation at last funding
- $4.2B
- Total funding amount
- $222M
dbt Labs, through its product dbt (short for "data build tool"), enables data teams to transform data quickly and reliably with software engineering best practices. With dbt, data analysts and engineers can collaborate to transform, model, manage, test, and deploy data sets. dbt's open source project has become the de facto workflow platform for data practitioners at 25,000 companies to take raw data and refine it for analytics, product-oriented, and AI use cases.
dbt is among the most central businesses to our data infrastructure thesis. As an increasing number of companies integrate data more deeply into their workflows at greater scale and complexity, they start to experience issues with the manual, ad-hoc approach to legacy data transformations. With a clear market-leading solution to data transformation challenges, dbt stands to benefit from the secular tailwinds of broader data maturity. The rise of AI has only amplified this trend, summed up recently by Microsoft CEO Satya Nadella: "Every AI app starts with data, and having a comprehensive data and analytics platform is more important than ever." Companies can't have an AI strategy without a data strategy.
dbt's has a diverse range of customers from enterprises including McDonalds, Nasdaq, and Jetblue to fast-growing startups. The company is backed by the gold standard of venture capital firms and data infrastructure providers, including Sequoia, Andreessen Horowitz, Altimeter, Coatue, ICONIQ, Databricks Ventures, Google Ventures, and Snowflake Ventures.

