dbt

Open source

Open-source framework for transforming warehouse data with version-controlled SQL models.

Pricing: free, subscription, seat, usage
Free tier: true
License: open-source
Open source: Yes

Editorial review

dbt has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native): data transformation, analytics engineering, SQL, open source, semantic layerVerified

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, self-hostedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
Free trial(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): free, subscription, seat, usageVerification pending
Source repository(HTTPS URL): https://github.com/dbt-labs/dbtVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified
Starting price(29): 100Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): SQL-based data transformation with modular, tested, and version-controlled pipelines, interactive lineage across projects and columns with a live DAG, automatic refactoring of models and columns with deep SQL awareness, dbt Catalog and governed metrics with the dbt Semantic Layer, stateful orchestration that builds only what changed to cut warehouse spend, dbt Wizard AI agent grounded natively in your projectVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending
CLI(true/false): trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Analytics engineers building tested, version-controlled SQL pipelines with governance for AI-ready data.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): analytics engineering, data quality and testing, governed metrics and semantic layer, AI-ready data pipelines, cost-optimized orchestrationVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.