dbt Core vs dbt Cloud

Introduction

dbt comes in two versions - dbt Core and dbt Cloud. While both provide the core functionality for data transformation, they serve different purposes and are suited to different requirements. In this tutorial, we’ll dive into the features of dbt Core and dbt Cloud, highlighting the key differences to help you choose the right tool for your requirements. This tutorial is also a valuable resource for those preparing for the dbt Analytics Engineering Certification Exam.

dbt Core

dbt Core is a open-source framework that enables data analysts and engineers to transform raw data into clean, analysis-ready datasets using SQL. It allows users to write modular SQL code, test data transformations, and define dependencies to build scalable and maintainable data pipelines.

dbt Cloud

dbt Cloud is a managed SaaS platform that simplifies running and scaling dbt (data build tool) projects. It enhances data workflows with features like a web-based IDE, automated job scheduling, real-time monitoring, and collaboration tools, enabling teams to build, deploy, and manage analytics workflows efficiently.

If you’d like to dive deeper into dbt (data build tool), our book Building Modern Data Pipelines with dbt: From Raw Data to Gold Standard with the Medallion Architecture provides a hands-on guide to designing modern data pipelines. It covers dbt’s core concepts and best practices, including building Bronze, Silver, and Gold layers with the Medallion Architecture. It also serves as a hands-on study guide for the dbt Analytics Engineering Certification.

View on Amazon