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
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## v1.21.1 - 2026-07-01 ### Bug Fix * Fix unhandled KeyError in get_dimension_values when the Arrow result schema does not contain the requested dimension column * Add hatch-vcs fallback-version to fix mcpb install failures in environments without git history
## dbt-core 1.11.12 - July 01, 2026 ### Fixes - Stop emitting spurious deprecation warnings for `state` model configs (`pre_clone`, `lag_tolerance`, `require_fresh_data_from`, etc.) by adding the `ModelState` schema to the bundled jsonschemas ([#13016](https://github.com/dbt-labs/dbt-core/issues/13016)) ### Contributors - [@tauhid621](https://github.com/tauhid621) ([#13016](https://github.com/dbt-labs/dbt-core/issues/13016))
## What's Changed * Fixed existing meta key value lists from being quoted by @TIHan in https://github.com/dbt-labs/dbt-autofix/pull/392 ## New Contributors * @TIHan made their first contribution in https://github.com/dbt-labs/dbt-autofix/pull/392 **Full Changelog**: https://github.com/dbt-labs/dbt-autofix/compare/v0.20.6...v0.20.7
## What's Changed * Fix schema validation for sl creds by @adrianburusdbt in https://github.com/dbt-labs/terraform-provider-dbtcloud/pull/710 * Release v1.12.3 by @github-actions[bot] in https://github.com/dbt-labs/terraform-provider-dbtcloud/pull/713 **Full Changelog**: https://github.com/dbt-labs/terraform-provider-dbtcloud/compare/v1.12.2...v1.12.3
## v1.21.0 - 2026-06-26 ### Enhancement or New Feature * Track MCP client identity (name and version from the MCP initialize handshake) in Vortex tool call events via the user_agent field ### Under the Hood * Revert host elicitation (pre-v1.17.0 behaviour where DBT_HOST=None) * Add a CI check that snapshots the published-app contract (tool metadata, schemas, annotations, server instructions, UI resources) and fails when it changes, plus a workflow that labels contract-changing PRs ### Bug Fix * Fix list_saved_queries tool which was calling savedQueriesPaginated (a non-existent API field) instead of savedQueries * Preserve unique_id casing when querying the Discovery API — the uniqueIds filter is case-sensitive, so lowercasing caused empty results for models with uppercase names
See what Fivetran + dbt Labs shared at Databricks Data + AI Summit: dbt Wizard, dbt State, and dbt Core v2.0, plus what's next.
Two teams. Same metric. Different numbers. That's semantic debt, and AI will make it impossible to ignore.
## What's Changed * Handle other / scheduled job types on api response by @adrianburusdbt in https://github.com/dbt-labs/terraform-provider-dbtcloud/pull/707 * Release v1.12.2 by @github-actions[bot] in https://github.com/dbt-labs/terraform-provider-dbtcloud/pull/708 **Full Changelog**: https://github.com/dbt-labs/terraform-provider-dbtcloud/compare/v1.12.1...v1.12.2
## What's Changed * fix(recency): handle empty tables returning NULL by @dinaatmiro in https://github.com/dbt-labs/dbt-utils/pull/1065 * ci: pin dbt-core install to 1.latest branch by @tauhid621 in https://github.com/dbt-labs/dbt-utils/pull/1091 * feature/star-unquote-alias-rename by @fivetran-joemarkiewicz in https://github.com/dbt-labs/dbt-utils/pull/1094 ## New Contributors * @dinaatmiro made their first contribution in https://github.com/dbt-labs/dbt-utils/pull/1065 * @tauhid621 made their first contribution in https://github.com/dbt-labs/dbt-utils/pull/1091 **Full Changelog**: https://github.com/dbt-labs/dbt-utils/compare/1.3.3...1.4.0
Material Event filed 2026-06-18
dbt migrations underdeliver when teams rebuild legacy patterns in a new tool. Here's how to start fresh instead.
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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