dbt Core

dbt Core is a tool for turning raw data into reliable data products, designed for building modular and maintainable data products.

Venture Funded$222MSeries DAndreessen HorowitzSequoia CapitalAmplify Partners

data transformationanalytics engineeringdata qualitydata governance

About

The vendor states that dbt Core helps build modular, maintainable data products that power analytics, operations, and AI. It is built for the cloud, executing transformations in the cloud data platform where data already lives, without data movement or duplication. The product is modular by design, allowing business logic to be broken into simple, modular chunks. It is also optimized for collaboration, centralizing business logic for easy collaboration and instantaneous updates. dbt brings software best practices like testing, versioning, and documentation to analytics teams. Users can define transformations in code using SQL SELECT statements, write and run tests to catch anomalies, and document models and columns with descriptions, tags, and ownership. Git is used for version control, enabling code reviews, change tracking, and a history of data logic. The dbt Community has 100,000+ members and offers online and in-person events, community-supported packages, macros, and adapters. dbt integrates across the data stack with tools like BigQuery, Databricks, Fabric, Fivetran, Redshift, and Snowflake.

Read from getdbt.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

63/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2016 · Series D

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 0d ago

GitHub API2026-05-27

dbt-labs

Open source product· 13.7k★· NOASSERTION· active 3mo ago

Python · Shell · Makefile · Rust

cooling · +208★ (+1.5%) 30d

PyPI registry

dbt-core

v1.11.11· released 3mo ago

Status page2026-05-27

Operational

operational· via statuspage· 25 incidents (90d)

OSV vulnerability feed2026-08-24

6 known advisories

1 high· 5 other· last update 2mo ago

Enterprise Use Cases

Data transformation orchestration

Analytics engineering

Data quality testing and validation

Data pipeline version control

Collaboration across data teams

Operationalizing ELT workflows

Integrations

SnowflakeBigQueryRedshiftDatabricksAzure SynapseFivetranAirflowLooker

How dbt Core compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
dbt Core	63 · Established	Open Source	Cloud, Self-Hosted	—	8
Airbyte	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Astronomer Astro	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Elastic AI	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is dbt Core used for?

dbt Core is dbt Core is a tool for turning raw data into reliable data products, designed for building modular and maintainable data products. It is commonly used for data transformation orchestration, analytics engineering, data quality testing and validation, and data pipeline version control.

Is dbt Core free, and how is it priced?

dbt Core is open source and can be self-hosted at no licensing cost. Commercial support or hosted tiers may also be available from the vendor.

How can dbt Core be deployed?

dbt Core supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does dbt Core integrate with?

dbt Core documents 8 integrations, including Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, and Fivetran.

When was dbt Core founded?

dbt Core was founded in 2016 and has raised $222M in funding.

Is dbt Core enterprise-ready?

Based on cataloged data, dbt Core has an Enterprise Readiness score of 63/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingOpen Source

DeploymentCloud, Self-Hosted

Founded2016

Funding$222M

CategoryData & MLOps

Procurement

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