dbt Cloud enhances the capabilities of the Data Build Tool (dbt) by offering features that address common limitations found in local dbt model execution and orchestration tools. It provides robust notification systems for data pipeline monitoring through platforms like Slack or email, allowing users to customize alerts based on environment and run types to avoid unnecessary clutter. dbt Cloud also simplifies the hosting and sharing of documentation by automatically generating and updating project docs, making them accessible to all authorized users, including non-technical business users. The platform facilitates source freshness checks, ensuring critical data models can be refreshed even if some sources fail. A notable feature is the integration with continuous integration (CI) systems, allowing users to test pull requests before merging to maintain data quality, using a streamlined approach that only runs modified models. This combination of features makes dbt Cloud a powerful tool for managing and maintaining reliable data workflows.