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What are some other business intelligence tools like DBT?

Answer

DBT (Data Build Tool) and Metabase serve different, though complementary, functions within the data analytics ecosystem. DBT is primarily a data *transformation* tool that helps analytics engineers clean, transform, and model data within a data warehouse using SQL, incorporating software engineering best practices like version control and testing. It focuses on preparing data for analysis, rather than visualizing it. Metabase, on the other hand, is a business intelligence (BI) and data visualization tool. It allows users to explore, visualize, and analyze data, create interactive dashboards, and generate reports, often with a user-friendly interface that includes both no-code query builders and SQL editors. If you are looking for other business intelligence tools that offer data visualization, dashboarding, and reporting capabilities similar to Metabase, some popular options include: * **Tableau:** Renowned for its strong data visualization capabilities and interactive dashboards, often favored for its flexibility in visual storytelling. * **Microsoft Power BI:** A leader in enterprise BI, known for its robust features, scalability, AI-powered insights, and seamless integration with the Microsoft ecosystem (Azure, Excel). * **Looker (now part of Google Cloud):** Offers a strong code-based semantic layer and self-service analytics, making it suitable for organizations with large budgets and dedicated data teams. * **Apache Superset (and Preset):** Apache Superset is an open-source platform offering extensive visualization options and support for large datasets. Preset offers a hosted and managed service built on Apache Superset. * **Google Looker Studio (formerly Data Studio):** A free tool often used for simple BI needs and strong integration with Google products. * **Holistics:** A cloud-based BI platform that provides a code-based modeling layer and self-service BI features. * **Redash:** An open-source tool designed for running queries, visualizing results, and creating shareable dashboards, supporting both SQL and NoSQL queries.

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href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGa7L4Pqzrrq5XM1EFK7AbJYd6GdwYnNMPpC9d7ZAIVt4GIy_fpCuNM9XcUsTAxe4Kh5nAyd4ZY8UNWVZ0E8uvpaXORay07bTtV_zhun8MmAm00Cq6oDLJuuV2KgEBOf_RbfAQLXR9wvWxRDRKyj95w-ns_pypwqj-c1v6M9h3DwRPveLnShjxxNXUPZPSWAhqquHU=\"\u003eMetabase features\u003c/a\u003e\n \u003ca class=\"chip\" href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHUaOcjfGUsCiV-TchtJuXj_HPVXMMZKgFu6g_0c7643GNDKed_Nv7CA5KhZvTkltGNkXwTU5yDIlbRJjohvM8JCt4erj50buDt-azf6K_Db3CizsCtHYoX63uAEj-oPaRk3agze0IY_7cw-BmLfEcra_g1Y5cEPFFaCufkLVq6D69Aefod6DIldsnjsG3AL8503kZWOA==\"\u003eWhat does dbt do?\u003c/a\u003e\n \u003ca class=\"chip\" href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE_Z66qME5WjjiAuBMohhrwfh2ib7pnY49kEeIofUbyeEOx3THwwQTpSgm2XglEPxI-X2hbYauI8e1o5h_YMWK_hiT-5dG6wx1DdQu82rXrY-oHpEZBstrCt7DhLXWv1m8EWCOQF5p_BebOQHnJkmTt_VG-F26gY4nYr3_zm48yu0UFjrfJyZZEyikGuvCNnvy2AECbkw==\"\u003eWhat is dbt 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similar to Metabase", "Metabase features", "dbt vs business intelligence tools" ] }, "index": 0, "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": "YGKMae2MJda2vdIP4o3dgQM", "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 11:05:04 GMT", "server": "scaffolding on HTTPServer2", "server-timing": "gfet4t7; dur=12769", "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": 454, "candidates_tokens_details": null, "prompt_token_count": 69, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 69 } ], "thoughts_token_count": 958, "tool_use_prompt_token_count": 701, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 701 } ], "total_token_count": 2182, "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": 0.0011557, "input_tokens": 69, "model": "gemini-2.5-flash", "output_tokens": 454, "pricing_source": "local_price_table_v1", "provider": "gemini", "total_tokens": 2182 }, "usage_raw": { "cache_tokens_details": null, "cached_content_token_count": null, "candidates_token_count": 454, "candidates_tokens_details": null, "prompt_token_count": 69, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 69 } ], "thoughts_token_count": 958, "tool_use_prompt_token_count": 701, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 701 } ], "total_token_count": 2182, "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