What are some other business intelligence tools like DBT?

For data transformation and modeling within a business intelligence ecosystem, similar to DBT (data build tool), several platforms and tools are available. DBT focuses on applying software engineering best practices to data transformation using SQL, primarily within the data warehouse. Here are some other business intelligence tools that offer comparable data transformation and orchestration capabilities: **Code-First Data Transformation Tools:** * **SQLMesh (Fivetran)**: This tool is a scalable alternative to DBT for SQL-based transformations, employing a declarative approach with built-in testing and validation. * **Google Cloud Dataform**: Integrated with Google Cloud's BigQuery, Dataform enables building modular SQL-based transformation pipelines and managing data dependencies. * **AWS Glue**: This is a serverless data integration service that provides managed extract, transform, load (ETL) capabilities within the Amazon Web Services cloud environment. * **Azure Data Factory**: Microsoft's cloud ETL and data integration service offers managed ETL/ELT functionality and orchestration for cloud and hybrid data pipelines. **Graphical ETL/ELT Platforms:** * **Matillion**: A cloud-native ETL/ELT platform designed with a visual interface for building data pipelines and performing warehouse-native transformations. It also supports integrating DBT workflows. * **Coalesce**: This cloud-native platform provides data transformation, cataloging, and governance with a visual development environment that supports both code-first SQL and graphical workflows. * **Informatica**: An enterprise-grade data integration platform known for its extensive ETL capabilities. * **Talend (Qlik Talend Cloud)**: Offers hybrid ETL tools featuring visual design and robust data governance features. * **Alteryx**: This platform provides self-service analytics and data science capabilities, making it an accessible option for business users to prepare and blend data. **Data Orchestration Frameworks:** * **Apache Airflow**: A widely used platform for programmatically authoring, scheduling, and monitoring complex data pipelines and workflows, including ETL processes. * **Dagster**: A modern orchestration platform that supports Python-native workflows and can manage complex data pipelines, including or replacing DBT models. * **Prefect**: Another orchestration framework that enables defining and executing data workflows, often incorporating Python or SQL transformation steps.

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DBT focuses on applying software engineering best practices to data transformation using SQL, primarily within the data warehouse.\n\nHere are some other business intelligence tools that offer comparable data transformation and orchestration capabilities:\n\n**Code-First Data Transformation Tools:**\n* **SQLMesh (Fivetran)**: This tool is a scalable alternative to DBT for SQL-based transformations, employing a declarative approach with built-in testing and validation.\n* **Google Cloud Dataform**: Integrated with Google Cloud\u0027s BigQuery, Dataform enables building modular SQL-based transformation pipelines and managing data dependencies.\n* **AWS Glue**: This is a serverless data integration service that provides managed extract, transform, load (ETL) capabilities within the Amazon Web Services cloud environment.\n* **Azure Data Factory**: Microsoft\u0027s cloud ETL and data integration service offers managed ETL/ELT functionality and orchestration for cloud and hybrid data pipelines.\n\n**Graphical ETL/ELT Platforms:**\n* **Matillion**: A cloud-native ETL/ELT platform designed with a visual interface for building data pipelines and performing warehouse-native transformations. 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