Brand Intelligence Graph
Company Overview
About dbt Labs
dbt Labs is a data transformation and analytics engineering company founded in 2016 and headquartered in Philadelphia, Pennsylvania, that created dbt (data build tool) — the open-source framework that established analytics engineering as a discipline and became the de facto standard for transforming raw data in the modern data warehouse. The company was founded by Tristan Handy, Drew Banin, and Connor McArthur with the conviction that data analysts should have the same software engineering workflows — version control, testing, documentation, modularity — that application engineers take for granted. dbt brought those practices to SQL-based data transformation, enabling data teams to build reliable, maintainable data pipelines.
Business Model & Competitive Advantage
The dbt product ecosystem includes dbt Core (the open-source transformation framework), dbt Cloud (the managed development and deployment platform), dbt Explorer (data lineage and documentation), and a growing set of features for data governance and collaboration. In January 2025, dbt Labs acquired SDF Labs, a high-performance SQL compilation and semantic layer technology, deepening its capabilities in query planning and column-level lineage. dbt integrates natively with major cloud data warehouses including Snowflake, Databricks, BigQuery, and Redshift, and sits at the center of the modern data stack alongside ingestion tools like Fivetran and orchestration platforms like Airflow.
Competitive Landscape 2025–2026
In October 2025, dbt Labs announced an all-stock merger with Fivetran, a combination that would unite the leading data ingestion and transformation layers of the modern data stack under one company. dbt Core's open-source community spans hundreds of thousands of data practitioners globally, and dbt Cloud serves thousands of paying enterprise customers. The merger, if completed, would create a dominant end-to-end data pipeline company and redefine the competitive landscape in the modern data stack market.
Recent Activity
View all →## v2.1.1 - 2026-08-19 ### Under the Hood * Update the PyPI publishing action to support Core Metadata 2.5.
## v2.1.0 - 2026-08-17 ### Enhancement or New Feature * Return the exact adapter-rendered relation name for models from node detail queries.
Your compute platform and your transformation logic are two separate decisions. Most executives approve them as one.
dbt Core v1.12: what's new and how to upgrade.
We were burning through Gong's API to feed AI. Modeling the transcripts in the warehouse with dbt cut token costs 20x.
Why do some AI deployments yield great successes while so many still crash and burn? The answer is in the data.
How Fanatics cut warehouse compute by only rebuilding what's changed
## dbt-core 1.4.10 - August 14, 2026 ### Features - Warn users if they are using a deprecated dbt version ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964)) ### Under the Hood - Remove support and testing for Python 3.8, which is now EOL. ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861)) ### Contributors - [@ash2shukla](https://github.com/ash2shukla) ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964))
## dbt-core 1.5.12 - August 14, 2026 ### Features - Warn users if they are using a deprecated dbt version ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964)) ### Under the Hood - Remove support and testing for Python 3.8, which is now EOL. ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861)) ### Contributors - [@gshank](https://github.com/gshank) ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861)) - [@peterallenwebb](https://github.com/peterallenwebb) ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861))
## dbt-core 1.6.19 - August 14, 2026 ### Features - Warn users if they are using a deprecated dbt version ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964)) ### Under the Hood - Remove support and testing for Python 3.8, which is now EOL. ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861)) ### Contributors - [@gshank](https://github.com/gshank) ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861)) - [@peterallenwebb](https://github.com/peterallenwebb) ([#10861](https://github.com/dbt-labs/dbt-core/issues/10861))
## dbt-core 1.7.20 - August 14, 2026 ### Features - Warn users if they are using a deprecated dbt version ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964))
## dbt-core 1.8.10 - August 14, 2026 ### Features - Warn users if they are using a deprecated dbt version ([#15964](https://github.com/dbt-labs/dbt-core/issues/15964))
Key Differentiators
Strong Challenger
dbt Labs is an established challenger with significant market presence and competitive offerings in Data & Analytics.
Top 10 Ranked
Ranked #8 in the Data & Analytics category, among the industry's best.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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