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What are some other business intelligence tools like DBT?

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DBT (Data Build Tool) is an open-source command-line tool primarily focused on data transformation within a data warehouse, allowing data analysts and engineers to build reliable, tested, and documented data pipelines using SQL. It emphasizes software engineering best practices like version control, testing, and continuous integration/continuous deployment (CI/CD) for data models. Other business intelligence tools that offer similar data transformation and modeling capabilities, or are often used in conjunction with tools like DBT, include: **Data Transformation & Modeling Tools (Directly comparable to DBT):** * **Google Cloud Dataform:** A native SQL transformation tool, similar to DBT, that is integrated with Google BigQuery. It allows for building modular SQL-based transformation pipelines, managing dependencies, and scheduling runs within a web interface. * **SQLMesh:** Positions itself as a scalable and predictable alternative to DBT for SQL-based transformations. It uses a declarative approach for building and managing SQL models with built-in dependency tracking, testing, and environment management. SQLMesh was recently acquired by Fivetran. * **Coalesce:** A cloud-native data transformation, catalog, and governance platform that offers a visual and modular development environment, supporting both code-first SQL users and GUI-driven workflows. * **Matillion:** A cloud-native ELT (Extract, Load, Transform) platform with a visual interface that supports warehouse-native transformations. It also allows for incorporating DBT workflows and offers a drag-and-drop interface alongside code capabilities. * **Talend (now part of Qlik):** Offers hybrid ETL tools with visual design, data governance features, and strong integration capabilities across various environments. * **Azure Data Factory:** Microsoft's managed ETL/ELT service within the Azure ecosystem, designed for orchestrating and automating data movement and transformation. * **AWS Glue:** A fully managed ETL service provided by Amazon Web Services that helps users prepare and load data for analytics. * **Alteryx:** A self-service analytics platform that provides an approachable option for business analysts, offering a low-code approach to data preparation and blending. **Data Orchestration Tools (Often used with DBT for workflow management):** * **Apache Airflow:** An open-source platform to programmatically author, schedule, and monitor workflows. It is widely used to schedule and manage DBT jobs or custom ETL pipelines. * **Dagster & Prefect:** Modern orchestration frameworks that enable the design of complex data pipelines with full control over scheduling, dependencies, and data assets, and can integrate with or replace DBT models within broader workflows. While Metabase (the brand under analysis) is a business intelligence tool for data visualization and dashboards, it typically consumes transformed data from sources like a data warehouse, which would have been prepared by tools like DBT or the alternatives listed above. Other general business intelligence tools that provide data visualization, reporting, and dashboarding capabilities include Tableau, Power BI, Qlik Sense, Looker (Google Cloud), Sisense, Domo, and Zoho Analytics. These tools focus on presenting insights from data that has already undergone transformation and modeling.

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It emphasizes software engineering best practices like version control, testing, and continuous integration/continuous deployment (CI/CD) for data models.\n\nOther business intelligence tools that offer similar data transformation and modeling capabilities, or are often used in conjunction with tools like DBT, include:\n\n**Data Transformation \u0026 Modeling Tools (Directly comparable to DBT):**\n\n* **Google Cloud Dataform:** A native SQL transformation tool, similar to DBT, that is integrated with Google BigQuery. It allows for building modular SQL-based transformation pipelines, managing dependencies, and scheduling runs within a web interface.\n* **SQLMesh:** Positions itself as a scalable and predictable alternative to DBT for SQL-based transformations. It uses a declarative approach for building and managing SQL models with built-in dependency tracking, testing, and environment management. 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It also allows for incorporating DBT workflows and offers a drag-and-drop interface alongside code capabilities.\n* **Talend (now part of Qlik):** Offers hybrid ETL tools with visual design, data governance features, and strong integration capabilities across various environments.\n* **Azure Data Factory:** Microsoft\u0027s managed ETL/ELT service within the Azure ecosystem, designed for orchestrating and automating data movement and transformation.\n* **AWS Glue:** A fully managed ETL service provided by Amazon Web Services that helps users prepare and load data for analytics.\n* **Alteryx:** A self-service analytics platform that provides an approachable option for business analysts, offering a low-code approach to data preparation and blending.\n\n**Data Orchestration Tools (Often used with DBT for workflow management):**\n\n* **Apache Airflow:** An open-source platform to programmatically author, schedule, and monitor workflows. 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"logprobs_result": null, "safety_ratings": null, "token_count": null, "url_context_metadata": null } ], "create_time": null, "model_version": "gemini-2.5-flash", "parsed": null, "prompt_feedback": null, "response_id": "yWSMaaiAMcLjnsEP7sC94Ag", "sdk_http_response": { "body": null, "headers": { "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000", "content-encoding": "gzip", "content-type": "application/json; charset=UTF-8", "date": "Wed, 11 Feb 2026 11:15:21 GMT", "server": "scaffolding on HTTPServer2", "server-timing": "gfet4t7; dur=12481", "transfer-encoding": "chunked", "vary": "Origin, X-Origin, Referer", "x-content-type-options": "nosniff", "x-frame-options": "SAMEORIGIN", "x-xss-protection": "0" } }, "usage_metadata": { "cache_tokens_details": null, "cached_content_token_count": null, "candidates_token_count": 686, "candidates_tokens_details": null, "prompt_token_count": 69, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 69 } ], "thoughts_token_count": 1070, "tool_use_prompt_token_count": 613, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 613 } ], "total_token_count": 2438, "traffic_type": null } }, "request_payload": { "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\n\nUser query: What are some other business intelligence tools like DBT?", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }, "retry_policy": { "base_backoff_s": 0.6, "max_retries": 3, "timeout_s": 60 }, "usage": { "cost_usd": 0.0017357, "input_tokens": 69, "model": "gemini-2.5-flash", "output_tokens": 686, "pricing_source": "local_price_table_v1", "provider": "gemini", "total_tokens": 2438 }, "usage_raw": { "cache_tokens_details": null, "cached_content_token_count": null, "candidates_token_count": 686, "candidates_tokens_details": null, "prompt_token_count": 69, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 69 } ], "thoughts_token_count": 1070, "tool_use_prompt_token_count": 613, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 613 } ], "total_token_count": 2438, "traffic_type": null } }

What was sent to the model?

{ "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\n\nUser query: What are some other business intelligence tools like DBT?", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }

Error json

null