dbt Labs
Updateddbt Labs built the standard data transformation platform for the modern analytics stack.
Profile
SQL-based data transformation and testing platform enabling analytics teams to build, test, and deploy data pipelines with version control and automation.
dbt Labs built the standard data transformation platform for the modern analytics stack. Founded in 2016 by Tristan Handy, Connor McArthur, and Drew Banin, the company created dbt (data build tool) to address frustrations with manual, error-prone data pipeline development. Unlike visual tools, dbt uses SQL and version control, letting analysts work like software engineers with testing, documentation, and CI/CD practices built in.
The company scaled rapidly to $100 million annual recurring revenue in February 2025—just four years after $2M ARR—crossing 5,000 cloud customers with 85% year-over-year growth among Fortune 500 adopters. Named customers include Condé Nast, HubSpot, Nasdaq, Siemens, Toyota, and Affirm, operating across 43 countries. dbt Labs raised $222 million in Series D funding in February 2022 at a $4.2 billion valuation, backed by Altimeter, with strategic participation from Databricks and Snowflake.
In January 2025, dbt Labs acquired SDF Labs, a startup founded by former Meta and Microsoft engineers, to add Rust-based SQL comprehension and compilation—promising 100x faster project builds and column-level lineage. Tristan Handy called it a "step-function change" in developer productivity.
October 2025 brought dbt's most significant strategic move: an all-stock merger with Fivetran to create a combined data infrastructure company approaching $600 million annual recurring revenue. George Fraser became CEO; Handy shifted to co-founder and president. The deal is expected to close in mid to late 2026. Both companies committed to keeping dbt Core under its Apache 2.0 open-source license.
That same month, dbt Labs open-sourced MetricFlow (Apache 2.0), the engine powering its Semantic Layer for governed metrics. It launched dbt MCP (Model Context Protocol) server for AI system connectivity and dbt Agents for conversational analytics. In May 2025, it unveiled Fusion, a new query engine delivering 30x faster compilation with live error detection and IntelliSense, initially for Snowflake with Databricks and BigQuery support following. These moves position dbt as foundational infrastructure for modern AI workflows.
The company faced headcount cuts in 2023—15% in May and 7 employees in January—as growth decelerated relative to plan. Employee reviews from that period noted cultural deterioration under new leadership. The October 2025 Fivetran merger introduces integration complexity and execution risk, though both companies have aligned on preserving dbt's open-source commitment.
Products by dbt Labs
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dbt Cloud
dbt Cloud is the commercial, managed version of dbt, the open-source data transformation framework. It handles the 'T'
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dbt Core
dbt Core is an open-source SQL transformation framework released under Apache 2.0, acquired in 2016 and now part
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Who buys this
- Fortune 500 enterprises running BI on cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift)
- Mid-market analytics teams adopting modern data stack practices and analytics engineering roles
- Global organizations in EMEA, APAC, and Americas leveraging AI-driven conversational analytics via Semantic Layer
- Data engineering teams requiring governed metrics, lineage tracking, and SQL comprehension at scale
Publicly disclosed clients
- Condé Nast
- HubSpot
- Nasdaq
- Siemens
- Toyota
- Affirm
- CHG Healthcare
Strengths and what to watch
Strengths
- $100M+ ARR with 85% YoY growth among Fortune 500 adopters; 5,000+ customers across 43 countries and proven market traction across cloud data warehouses
- Rust-based Fusion engine delivers 30x faster compilation with live error detection and IntelliSense; SDF Labs acquisition (Jan 2025) adds multi-dialect SQL comprehension and column-level lineage
- Apache 2.0 open-source dbt Core with 50,000+ weekly users and active community; open-sourced MetricFlow enables trustworthy governed metrics for AI agents and analytics
Watch for
- Fivetran merger integration risk (Oct 2025 announcement, expected mid-late 2026 close); customer overlap, cultural alignment, and execution capacity under new CEO unknown
- Customer concentration tied to data warehouse vendors (Snowflake, Databricks, Google Cloud); these strategic investors hold board positions and could influence roadmap
- Leadership execution track record under pressure: 15% workforce reduction in May 2023 plus 7 cuts in Jan 2023; rapid acquisition pace (SDF Labs, now Fivetran) raises talent retention and focus concerns
Recent moves
- 8mo ago dbt Labs Open-Sources MetricFlow Under Apache 2.0 to Power Governed Metrics for AI
- 8mo ago Fivetran and dbt Labs Announce All-Stock Merger to Create $600M ARR Data Infrastructure Company
- 10mo ago dbt Labs Named to 2025 Forbes Cloud 100
- 1y ago dbt Labs Unveils Fusion Engine: 30x Faster Compilation with Live Error Detection
Key Information
- Industry
- Data Engineering
- Founded
- 2016
- Employees
- 201-500
- Headquarters
- Philadelphia, PA
Frequently Asked Questions
What is dbt and how does it work?
dbt (data build tool) is a SQL-based data transformation platform that lets analytics teams build, test, and deploy data pipelines using version control and automation. Created by dbt Labs in 2016, it enables analysts to work like software engineers with testing, documentation, and CI/CD practices built directly into the workflow.
What problems does dbt solve for data teams?
dbt addresses frustrations with manual, error-prone data pipeline development. By combining SQL with version control, testing, and automation, it lets analytics teams adopt software engineering practices. This reduces errors, enables collaboration, improves documentation, and accelerates deployment cycles without requiring custom coding or visual tools.
How big is dbt Labs and who are its customers?
dbt Labs reached $100 million annual recurring revenue in February 2025, with 5,000+ cloud customers across 43 countries and 85% year-over-year growth among Fortune 500 adopters. Notable customers include Condé Nast, HubSpot, Nasdaq, Siemens, and Toyota, representing enterprises, mid-market analytics teams, and data engineering organizations globally.
What is dbt Fusion and why does it matter?
Fusion is dbt's new query engine, launched in May 2025, delivering 30x faster compilation with live error detection and IntelliSense. Built on Rust-based technology acquired from SDF Labs, it dramatically improves developer experience during AI-driven analytics workflows. Initial release supports Snowflake, with Databricks and BigQuery support following.
Is dbt merging with Fivetran?
In October 2025, dbt Labs and Fivetran announced an all-stock merger creating a $600 million annual recurring revenue company. George Fraser became CEO; Tristan Handy is co-founder and president. The deal closes mid to late 2026. Both companies committed to keeping dbt Core under Apache 2.0 open-source license.
What is dbt MetricFlow and why open-source it?
MetricFlow is dbt's semantic layer engine that governs metrics for analytics. Open-sourced in October 2025 under Apache 2.0, it powers dbt's Semantic Layer for trustworthy metrics consumed by AI agents and analytics tools. This commitment ensures governed metrics remain accessible and interoperable, supporting conversational analytics without vendor lock-in.
How dbt Labs compares
Direct head-to-head against 3 competitors. Picked by 7wData.
dbt Labs
- Positioning
- SQL-based data transformation and testing platform enabling analytics teams to build, test, and deploy data pipelines with version control and automation.
- Customer segments
- Fortune 500 enterprises running BI on cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift)
- Strengths
- $100M+ ARR with 85% YoY growth among Fortune 500 adopters; 5,000+ customers across 43 countries and proven market traction across cloud data warehouses
- Watch for
- Fivetran merger integration risk (Oct 2025 announcement, expected mid-late 2026 close); customer overlap, cultural alignment, and execution capacity under new CEO unknown
- Recent moves
- dbt Labs Unveils Fusion Engine: 30x Faster Compilation with Live Error Detection
Coalesce
- Positioning
- GUI-driven, metadata-first SQL transformation platform positioned as a visual alternative to dbt for warehouse-native teams.
- Customer segments
- Mid-to-large enterprises on Snowflake or Databricks. Buyer persona: data engineering teams preferring low-code pipelines.
- Strengths
- Visual column-level lineage built into the transformation layer, combining catalog and quality in a single platform without custom tooling.
- Watch for
- Closed-source architecture and Snowflake dependency create vendor lock-in. Community size is a fraction of dbt, limiting ecosystem maturity.
- Recent moves
- March 2026: acquired SYNQ (data observability) and launched Coalesce Quality, bundling transformation, cataloging, and quality in one platform.
SQLMesh (Tobiko Data)
- Positioning
- dbt replacement with incremental-by-default execution, column-level lineage, and built-in environment management for cost-conscious teams.
- Customer segments
- Data-intensive engineering teams migrating from dbt, Airflow, or Dataform. Buyer persona: senior data or analytics engineer.
- Strengths
- Incremental execution via SQLGlot processes only changed data, benchmarked at 9x cost and speed improvement over dbt.
- Watch for
- Fivetran, which has no OSS track record, acquired Tobiko before donating SQLMesh to Linux Foundation, raising community lock-in concerns.
- Recent moves
- March 2026: Fivetran donated SQLMesh to the Linux Foundation with founding members Harness, Benzinga, and CloudKitchens.
Dataform (Google Cloud)
- Positioning
- Free BigQuery-native SQL transformation layer, positioned as a no-cost dbt alternative for GCP-committed teams.
- Customer segments
- Mid-to-large enterprise data and analytics engineers already on Google Cloud, especially cost-sensitive teams avoiding dbt Cloud licensing fees.
- Strengths
- Zero-cost managed service with native BigQuery integration, Git version control, dependency graphs, and Dataplex auto-cataloging built in.
- Watch for
- Hard BigQuery lock-in. One team spent 2 months migrating away plus 3 weeks fixing broken ML pipelines after switching tools.
- Recent moves
- Data Engineering Agent announced at Google Cloud Next 2026 can autonomously build Dataform pipelines with governance and test enforcement.
Sources
- www.getdbt.com — Company mission, product portfolio, customer names (Nasdaq, Toyota, Affirm, Siemens, CHG Healthcare), integration partnerships
- www.getdbt.com — Founder names (Tristan Handy, Connor McArthur, Drew Banin), leadership team, company purpose and focus
- www.prnewswire.com — $100M ARR milestone (Feb 2025), 5,000+ customers, 85% YoY Fortune 500 growth, named customers (Condé Nast, HubSpot, Nasdaq, Siemens), global expansion (43 countries), employee headcount growth
- www.prnewswire.com — Series D funding round ($222M, Feb 24, 2022), valuation ($4.2B), lead investor (Altimeter), strategic investors (Databricks, Snowflake, Salesforce Ventures)
- www.prnewswire.com — SDF Labs acquisition (Jan 14, 2025), Rust-based SQL comprehension, compilation performance improvements (100x faster), column-level lineage metadata
- www.fivetran.com — Fivetran-dbt Labs merger announcement (Oct 13, 2025), all-stock deal, $600M combined ARR, George Fraser as CEO, Tristan Handy as co-founder/president, expected close mid-late 2026, Apache 2.0 commitment
- www.prnewswire.com — MetricFlow open-sourced (Oct 14, 2025), Apache 2.0 license, governed metrics for AI and agents, governance for conversational analytics
- www.prnewswire.com — Fusion engine launch (May 28, 2025), 30x faster parse times, live error detection, IntelliSense features, state-aware orchestration, VS Code extension, MCP server, initial Snowflake availability