What are some other business intelligence tools like DBT?

While dbt (data build tool) is primarily a data *transformation* tool that helps analytics engineers transform data in their warehouse using SQL, it's often a foundational component of a broader business intelligence (BI) stack. It brings software engineering practices like version control, testing, and documentation to data workflows. When looking for tools "like dbt," you might be seeking: **1. Data Transformation Tools (Alternatives/Competitors to dbt):** These tools also focus on preparing and modeling data, often using SQL or visual interfaces. * **SQL-based Transformation Tools:** * **Dataform:** Now part of Google Cloud, Dataform is a native SQL transformation tool similar to dbt, tightly integrated with BigQuery. * **SQLMesh:** An open-source Python framework that manages SQL file execution in DAG order and is backward compatible with dbt. It takes a declarative approach to building and managing SQL models. * **Coalesce:** A cloud-native transformation, catalog, and governance platform that offers a visual and modular development environment for both code-first SQL and GUI-driven workflows. * **Graphical ETL/ELT Tools (often with transformation capabilities):** These tools provide visual interfaces for building data pipelines, including transformation steps. * **Matillion:** A cloud-native ETL/ELT platform with a visual, low-code interface designed for cloud data warehouses, and it includes a native dbt Core component. * **Informatica:** An enterprise data integration platform with extensive ETL capabilities and data quality tooling. * **Talend (Qlik):** Known for its integration, data quality, and governance features, offering both open-source and enterprise solutions. * **Alteryx:** A self-service analytics and data preparation platform that offers a low-code approach, aimed at business users. * **AWS Glue:** A fully managed ETL service that handles infrastructure for data transformation. * **Azure Data Factory:** Microsoft's native orchestration service for cloud and hybrid data pipelines. * **Data Orchestration Tools (which can include transformation):** * **Apache Airflow:** An open-source tool for orchestrating data workflows using Python, often used to schedule and manage dbt jobs or custom ETL pipelines. * **Dagster:** A modern orchestration platform that offers Python-native workflows for complex pipelines and can run dbt models as part of broader workflows. **2. Business Intelligence (BI) Tools (which commonly integrate with dbt):** These tools focus on data visualization, reporting, and dashboarding, consuming the transformed data from dbt or similar tools. Many BI tools seamlessly integrate with dbt to leverage its defined data models and metrics. * **Looker:** A powerful BI tool focused on data modeling using its proprietary language, LookerML, and is part of Google Cloud. It excels in governed, model-driven environments. * **Metabase:** An open-source BI platform known for its user-friendly interface for internal analytics and embedding analytics into applications. It allows engineers or analysts to query a data warehouse directly and visualize results. * **Tableau:** Often considered an industry standard for data visualization and business intelligence, offering extensive visualization capabilities. Tableau can connect to the dbt Semantic Layer. * **Microsoft Power BI:** A BI tool that integrates well within the Microsoft ecosystem, including Excel and Azure. Power BI can also use reports to query the dbt Semantic Layer. * **Google Looker Studio (formerly Google Data Studio):** A free, cloud-based data visualization tool with easy integrations across the Google ecosystem. * **Apache Superset:** An open-source BI platform that originated at Airbnb, offering advanced data analysis functionality and a broad range of visualization options. * **Mode Analytics:** A data science platform with BI capabilities, designed for data scientists and analysts. * **Lightdash:** Instantly turns your dbt project into a full-stack BI platform, allowing analysts to define metrics in dbt and enabling self-service for business users.

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Data Transformation Tools (Alternatives/Competitors to dbt):**\nThese tools also focus on preparing and modeling data, often using SQL or visual interfaces.\n* **SQL-based Transformation Tools:**\n * **Dataform:** Now part of Google Cloud, Dataform is a native SQL transformation tool similar to dbt, tightly integrated with BigQuery.\n * **SQLMesh:** An open-source Python framework that manages SQL file execution in DAG order and is backward compatible with dbt. It takes a declarative approach to building and managing SQL models.\n * **Coalesce:** A cloud-native transformation, catalog, and governance platform that offers a visual and modular development environment for both code-first SQL and GUI-driven workflows.\n* **Graphical ETL/ELT Tools (often with transformation capabilities):** These tools provide visual interfaces for building data pipelines, including transformation steps.\n * **Matillion:** A cloud-native ETL/ELT platform with a visual, low-code interface designed for cloud data warehouses, and it includes a native dbt Core component.\n * **Informatica:** An enterprise data integration platform with extensive ETL capabilities and data quality tooling.\n * **Talend (Qlik):** Known for its integration, data quality, and governance features, offering both open-source and enterprise solutions.\n * **Alteryx:** A self-service analytics and data preparation platform that offers a low-code approach, aimed at business users.\n * **AWS Glue:** A fully managed ETL service that handles infrastructure for data transformation.\n * **Azure Data Factory:** Microsoft\u0027s native orchestration service for cloud and hybrid data pipelines.\n* **Data Orchestration Tools (which can include transformation):**\n * **Apache Airflow:** An open-source tool for orchestrating data workflows using Python, often used to schedule and manage dbt jobs or custom ETL pipelines.\n * **Dagster:** A modern orchestration platform that offers Python-native workflows for complex pipelines and can run dbt models as part of broader workflows.\n\n**2. Business Intelligence (BI) Tools (which commonly integrate with dbt):**\nThese tools focus on data visualization, reporting, and dashboarding, consuming the transformed data from dbt or similar tools. Many BI tools seamlessly integrate with dbt to leverage its defined data models and metrics.\n\n* **Looker:** A powerful BI tool focused on data modeling using its proprietary language, LookerML, and is part of Google Cloud. It excels in governed, model-driven environments.\n* **Metabase:** An open-source BI platform known for its user-friendly interface for internal analytics and embedding analytics into applications. It allows engineers or analysts to query a data warehouse directly and visualize results.\n* **Tableau:** Often considered an industry standard for data visualization and business intelligence, offering extensive visualization capabilities. Tableau can connect to the dbt Semantic Layer.\n* **Microsoft Power BI:** A BI tool that integrates well within the Microsoft ecosystem, including Excel and Azure. 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{ "input": { "contents": "You are answering a user query. Be concise but helpful.\nIf you mention products or brands, be specific.\nDo not invent facts. If unsure, say you are unsure.\n\nBrand under analysis: Metabase\nBrand website: https://metabase.com\nEntity focus: competitor = looker\n\nUser query: What are some other business intelligence tools like DBT?", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }

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