What is dbt Labs?
Creator of dbt, the analytics engineering standard for transforming, testing, documenting, and governing data.
- Category
- Analytics engineering
- Headquarters
- Philadelphia, PA / distributed
- Founded
- 2016
- Employees
- 900+ reported pre-merger
- Total funding
- $410M+ raised
- Status
- Merged with Fivetran (Jun 2026)
What is dbt Labs?
dbt Labs is the company behind dbt, the open-source and cloud platform used by analytics engineers to transform data in warehouses and lakehouses. As of June 2026, dbt Labs has completed an all-stock merger with Fivetran and is initially operating as Fivetran + dbt Labs.
dbt Labs grew out of Fishtown Analytics and created the analytics engineering category: a workflow where SQL-first data practitioners build tested, documented, version-controlled data models. The company says dbt is used by 100,000 teams, and its customer and community base includes major companies such as JetBlue, HubSpot, Nasdaq, Siemens, OpenAI, Zendesk, Coupa, and others cited in company materials.
The June 1, 2026 Fivetran merger changes the profile from a standalone private SaaS company to a combined data infrastructure platform. Fivetran + dbt Labs positions itself as open data infrastructure for AI agents: Fivetran moves and syncs data, while dbt defines, tests, transforms, documents, and semantically governs it. For sellers, this is now a combined-company account with dbt product, community, and open-source commitments still strategically important.
What does dbt Labs offer?
dbt Labs offers dbt Core, dbt Cloud, semantic-layer and catalog products, orchestration, governance, and AI/data-development features.
- dbt Core· Open source
- dbt Cloud· SaaS
- dbt Semantic Layer· Metrics / semantics
- dbt Catalog· Discovery / governance
- dbt Mesh· Enterprise governance
- dbt Copilot· AI
- Scheduler / orchestration· Operations
- Fivetran + dbt joint products· Merged platform
How does dbt Labs make money?
dbt Labs makes money from dbt Cloud subscriptions and usage, with a free Developer plan, a $100 per user per month Starter plan, and custom Enterprise options.
dbt Cloud pricing is public for lower tiers: the Developer plan is free and Starter is listed at $100 per user per month, with five developer seats, 15,000 successful models built per month, 5,000 queried metrics per month, and one project. Enterprise and Enterprise+ are custom-priced and add more governance, security, support, usage, semantic-layer, and large-team capabilities. Billing docs distinguish seat charges and usage charges.
Before the Fivetran merger, dbt Labs had surpassed $100 million in ARR and more than 5,000 dbt Cloud customers according to a 2025 company announcement. The combined-company model now expands from transformation subscriptions into the broader Fivetran + dbt data infrastructure platform. Growth is driven by data-team adoption, enterprise governance, AI-ready data quality, and expansion from open-source dbt into paid cloud and platform features.
Sources:dbt pricingdbt Labs $100M ARR
Who leads dbt Labs?
dbt Labs was founded and led by Tristan Handy; after the June 2026 merger, Fivetran co-founder George Fraser is CEO of the combined Fivetran + dbt Labs and Tristan Handy serves as president.
- George FraserCEO, Fivetran + dbt LabsCombined-company CEO since Jun 2026Fivetran co-founder leading the combined data infrastructure company.
- Tristan HandyFounder of dbt Labs; President, Fivetran + dbt LabsFounder, since 2016; president since 2026Created the analytics engineering category and remains central to dbt product and community commitments.
- Sarah RileyChief Financial Officer, dbt LabsPre-merger leadershipFinance leader with prior Zoom, Okta, and Salesforce scaling experience.
- Ryan SegarChief Technology & Product Officer, dbt LabsPre-merger leadershipProduct and technology leader across dbt platform development.
How do you contact dbt Labs's leadership?
Use dbt or Fivetran + dbt sales, support, community, and press routes. The reviewed sources do not publish verified personal executive emails for general outreach.
sales/support/contact routes published; personal format not verifiedSources:dbt contactdbt community
How much funding has dbt Labs raised?
dbt Labs raised more than $410 million before merging with Fivetran, including a $222 million Series D in 2022 at a $4.2 billion valuation.
dbt Labs raised institutional rounds from Amplify Partners, Andreessen Horowitz, Sequoia, Altimeter, Coatue, Tiger Global, ICONIQ Growth, GV, GIC, Databricks, Snowflake, Salesforce Ventures, and others. Its June 2021 Series C was $150 million at a reported $1.5 billion valuation. In February 2022, dbt Labs announced a $222 million Series D led by Altimeter with participation from existing investors including Amplify, a16z, and Sequoia, plus new strategic and growth investors, at a $4.2 billion valuation.
The June 2026 Fivetran combination was an all-stock merger. Financial terms were not disclosed in the official close announcement, so the funding view should be presented as pre-merger capital history plus current merged status rather than a new cash raise.
How did dbt Labs get here?
dbt Labs grew from a consulting-rooted analytics engineering project into a $100M+ ARR data platform and then merged with Fivetran.
- 2016Founded as Fishtown AnalyticsTristan Handy and team build dbt around analytics engineering workflows.
- 2019Early institutional fundingdbt Labs begins scaling beyond consulting into software.
- Jun 2021$150M Series Cdbt Labs reaches a reported $1.5B valuation.
- Feb 2022$222M Series D at $4.2BAltimeter leads with a16z, Sequoia, Databricks, Snowflake, and others participating.
- 2025$100M+ ARRdbt Labs says it surpassed $100M ARR and 5,000 dbt Cloud customers.
- Jun 2026Fivetran merger closesFivetran and dbt Labs complete an all-stock merger and operate initially as Fivetran + dbt Labs.
Who are dbt Labs's competitors?
dbt Labs competes with transformation, orchestration, semantic-layer, and data-platform tools, though its merger with Fivetran changes the competitive frame.
- DataformGoogle Cloud's SQL-based transformation and modeling tool inside BigQuery workflows.
- CoalesceVisual data transformation platform focused on Snowflake users and enterprise modeling.
- MatillionData integration and transformation platform with ETL/ELT tooling for cloud warehouses.
- DagsterData orchestration platform that competes for data pipeline control and asset lineage.
- Tobiko SQLMeshOpen-source data transformation framework with virtual data environments and dbt compatibility.
dbt Labs — frequently asked questions
