What is dbt Labs?
dbt Labs helps teams build and scale analytics engineering and data transformation products.
- Category
- Analytics engineering and data transformation
- Headquarters
- Philadelphia, PA
- Founded
- 2016
- Employees
- 500-700 estimated
- Total funding
- $414M disclosed equity
- Valuation
- $4.2B last disclosed valuation
What is dbt Labs?
dbt Labs is a analytics engineering and data transformation company founded in 2016 and headquartered in Philadelphia, PA.
dbt Labs builds analytics engineering and data transformation infrastructure for teams that need production software, AI, or data workflows rather than one-off prototypes. Revenue is not disclosed; dbt has broad enterprise adoption and a large open-source community. Its public scale signal is Enterprise analytics teams and open-source dbt users; exact paid count not disclosed.
The company sits in a fast-moving market where buyers care about reliability, security, integration depth, and procurement maturity. Creator of dbt, the analytics-engineering standard. Its position is strongest when customers need a managed platform that shortens engineering time while still fitting into existing cloud, data, and developer workflows.
For sellers, dbt Labs is best treated as a scaled technical buyer. Engineering and product leaders influence architecture, finance and operations shape budget, and security or procurement becomes more important as contract size grows.
Sources:dbt websitedbt pricing
What does dbt Labs offer?
dbt Labs's product set centers on dbt Core, dbt Cloud, dbt Semantic Layer.
- dbt Core· Core product
- dbt Cloud· Core product
- dbt Semantic Layer· Core product
- dbt Mesh· Expansion product
- dbt Catalog· Expansion product
- dbt Copilot· Expansion product
Sources:dbt websitedbt pricing
How does dbt Labs make money?
dbt Labs makes money through usage, subscription, committed-capacity, and enterprise contracts depending on customer scale.
Developer is free for one developer seat, one project, and 3,000 successful models built per month. Starter is $100/user/month and includes five developer seats, 15,000 successful models built per month, 5,000 queried metrics, and one project. Enterprise and Enterprise+ are custom for larger seat counts, advanced catalog, semantic layer, Mesh, security, PrivateLink, hybrid projects, and support.
Growth is driven by land-and-expand adoption: individual developers or small teams start with self-serve usage, then production workloads create larger commitments, security requirements, support needs, and procurement events. Enterprise customers typically pay for higher limits, private deployment patterns, governance, support, SLAs, and negotiated usage economics.
The unit economics depend on the underlying product category. Software-heavy products expand through seats and usage, while AI infrastructure and GPU-cloud businesses require disciplined capacity planning, reserved commitments, power and data-center execution, and high utilization of expensive compute assets.
Sources:dbt websitedbt pricing
Who leads dbt Labs?
dbt Labs is led by Tristan Handy, with technical, product, and go-to-market ownership spread across the leadership team.
- Tristan HandyFounder & CEOFounder since 2016Founder of Fishtown Analytics/dbt Labs; leads company and category strategy.
- Drew BaninCo-founderCo-founderKey creator of dbt and analytics engineering practices.
- Connor PhillipsCo-founderCo-founderHelped build the original consulting and product organization.
- dbt product leadershipProduct leadersScale-up phaseOwns dbt Cloud, Semantic Layer, Mesh, Catalog, and Copilot.
How do you contact dbt Labs's leadership?
Use published company channels first. The personal addresses below are format-following examples using getdbt.com; they should be verified before outreach and are not presented as confirmed personal inboxes.
first.last@getdbt.com (format-following example, not a verified personal mailbox)How much funding has dbt Labs raised?
dbt Labs has $414M disclosed equity; its latest disclosed valuation/status is $4.2B last disclosed valuation.
dbt Labs's disclosed financing history is concentrated in these major events: Apr 2020 Series A - $12.9M; Nov 2020 Series B - $29.5M; Jun 2021 Series C - $150M at unicorn valuation; Feb 2022 Series D - $222M at $4.2B valuation. The latest disclosed valuation or market status is $4.2B last disclosed valuation.
Apr 2020: Series A - $12.9M. Led by Andreessen Horowitz while the company was still known as Fishtown Analytics. Nov 2020: Series B - $29.5M. Led by Andreessen Horowitz and Sequoia as dbt adoption grew. Jun 2021: Series C - $150M at unicorn valuation. Led by Altimeter, Sequoia, and Andreessen Horowitz. Feb 2022: Series D - $222M at $4.2B valuation. Forbes reported the round and valuation, lower than an earlier targeted valuation but still category-leading.
The funding signal matters because it defines buying capacity and operating pressure. Late-stage capital usually means new hiring, platform expansion, security upgrades, finance-process maturity, and larger procurement reviews; earlier-stage profiles require tighter ROI and founder-led evaluation.
How did dbt Labs get here?
dbt Labs's path runs from founding in 2016 through product expansion and its latest financing or public-market milestone.
- 2016Fishtown Analytics foundedThe consulting company that creates dbt is formed.
- 2018dbt Cloud predecessor launchedCommercial tooling begins around dbt Core.
- Apr 2020Series A raiseddbt Labs raises $12.9M as analytics engineering becomes a category.
- Jun 2021Series C raisedThe company reaches unicorn scale.
- Feb 2022Series D raiseddbt Labs raises $222M at a $4.2B valuation.
- 2024-2026Semantic Layer, Mesh, Catalog, and Copilotdbt Cloud expands from transformation into governed analytics and AI-assisted workflows.
Sources:dbt websitedbt pricing
Who are dbt Labs's competitors?
dbt Labs competes with category specialists, open-source alternatives, and larger platform vendors.
- CoalesceVisual data transformation platform focused on Snowflake users.
- DataformGoogle Cloud-native SQL workflow tool for BigQuery transformations.
- SQLMeshOpen-source data transformation framework with virtual data environments.
- MatillionCloud ELT platform with transformation and orchestration capabilities.
- FivetranManaged ELT provider increasingly adjacent through transformation and governance features.
Sources:dbt websitedbt pricing
dbt Labs — frequently asked questions
