Run item
gemini · Metabase · question_index=1
Question
What are some integrations available for Metabase?
Answer
Metabase offers a wide array of integrations to connect with various data sources, tools, and services, enhancing its capabilities as an open-source business intelligence platform. These integrations can be broadly categorized as follows:
**1. Data Sources and Databases:**
Metabase is designed to connect directly to numerous databases and data warehouses, allowing users to explore and learn from data regardless of its storage location. Official connectors, built and managed by Metabase, are available for:
* Amazon Athena
* Amazon Redshift
* Google BigQuery
* ClickHouse
* Databricks
* Druid
* MariaDB
* Microsoft SQL Server
* MongoDB
* MySQL
* Oracle Database
* PostgreSQL
* Presto
* Snowflake
* Spark (SparkSQL)
* SQLite
* Starburst
* Vertica
Metabase also supports CSV uploads and connections to Google Sheets for built-in storage solutions. Community-built connectors are available for self-hosted instances.
**2. API Integrations:**
Metabase provides a robust API that allows for programmatic interaction, enabling automation of reporting, dashboards, and data analysis operations. This API facilitates custom integrations with various applications. Tools like Pipedream leverage the Metabase API to create workflows for automated reporting, dashboard synchronization with tools like Google Sheets, and real-time alerting based on Metabase metrics. Additionally, CData Connect AI can be used to integrate Metabase with live API data.
**3. Business Intelligence (BI) and Visualization Tools:**
Metabase can integrate with other BI and visualization platforms to combine its data exploration capabilities with external features:
* **Microsoft Power BI:** Allows for combining Metabase data with Power BI's rich visualizations and collaboration features.
* **Google Data Studio (now Google Looker Studio):** Enables leveraging Metabase data with customizable visualizations in Google Data Studio.
* **Tableau:** Supports importing data and insights from Metabase into Tableau for analysis.
**4. ETL and Data Synchronization Tools:**
* **Airbyte:** Offers seamless integration for data synchronization, allowing users to extract and load Metabase data, including Cards, Collections, Dashboards, Users, and Databases. Airbyte supports full refresh overwrite sync mode to ensure the latest insights are available.
**5. Collaboration and Messaging Tools:**
Metabase can integrate with communication platforms for sharing dashboards, notifications, and facilitating team collaboration:
* Slack
* Microsoft Teams
* WhatsApp
* Telegram
* Viber
* Discord
**6. CRM, Marketing Automation, and Project Management Tools:**
While not always direct connectors, the Metabase API and third-party integration platforms can connect Metabase with:
* Salesforce
* HubSpot
* Xero
* Jira
* Zoho CRM
* Trello
* ClickUp
* Zendesk
* Notion
These integrations enable users to centralize data access, perform real-time analysis, enhance visualization, and streamline collaboration across various systems.
Citations
No citations found.
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"text": "Metabase offers a wide array of integrations to connect with various data sources, tools, and services, enhancing its capabilities as an open-source business intelligence platform. These integrations can be broadly categorized as follows:\n\n**1. Data Sources and Databases:**\nMetabase is designed to connect directly to numerous databases and data warehouses, allowing users to explore and learn from data regardless of its storage location. Official connectors, built and managed by Metabase, are available for:\n* Amazon Athena\n* Amazon Redshift\n* Google BigQuery\n* ClickHouse\n* Databricks\n* Druid\n* MariaDB\n* Microsoft SQL Server\n* MongoDB\n* MySQL\n* Oracle Database\n* PostgreSQL\n* Presto\n* Snowflake\n* Spark (SparkSQL)\n* SQLite\n* Starburst\n* Vertica\nMetabase also supports CSV uploads and connections to Google Sheets for built-in storage solutions. Community-built connectors are available for self-hosted instances.\n\n**2. API Integrations:**\nMetabase provides a robust API that allows for programmatic interaction, enabling automation of reporting, dashboards, and data analysis operations. This API facilitates custom integrations with various applications. Tools like Pipedream leverage the Metabase API to create workflows for automated reporting, dashboard synchronization with tools like Google Sheets, and real-time alerting based on Metabase metrics. Additionally, CData Connect AI can be used to integrate Metabase with live API data.\n\n**3. Business Intelligence (BI) and Visualization Tools:**\nMetabase can integrate with other BI and visualization platforms to combine its data exploration capabilities with external features:\n* **Microsoft Power BI:** Allows for combining Metabase data with Power BI\u0027s rich visualizations and collaboration features.\n* **Google Data Studio (now Google Looker Studio):** Enables leveraging Metabase data with customizable visualizations in Google Data Studio.\n* **Tableau:** Supports importing data and insights from Metabase into Tableau for analysis.\n\n**4. ETL and Data Synchronization Tools:**\n* **Airbyte:** Offers seamless integration for data synchronization, allowing users to extract and load Metabase data, including Cards, Collections, Dashboards, Users, and Databases. Airbyte supports full refresh overwrite sync mode to ensure the latest insights are available.\n\n**5. Collaboration and Messaging Tools:**\nMetabase can integrate with communication platforms for sharing dashboards, notifications, and facilitating team collaboration:\n* Slack\n* Microsoft Teams\n* WhatsApp\n* Telegram\n* Viber\n* Discord\n\n**6. CRM, Marketing Automation, and Project Management Tools:**\nWhile not always direct connectors, the Metabase API and third-party integration platforms can connect Metabase with:\n* Salesforce\n* HubSpot\n* Xero\n* Jira\n* Zoho CRM\n* Trello\n* ClickUp\n* Zendesk\n* Notion\n\nThese integrations enable users to centralize data access, perform real-time analysis, enhance visualization, and streamline collaboration across various systems.",
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href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFAAJv0RDpHzNslCjlbRan9OBa0YinJfqFtLSMckcktdXrk3kbFwIGWFazR_Y3EriHVp0BiO4zSo8XPBb5tzv0_ad8Oy56ABlYulsuuBfJu5TPM6TzMmMomZ1R6-pdEc-0aC8IVj6QuCifMshXbl96599CRaaRM3pR-OwGcWzbVCm483RLG3BS6zam8aB9Nm_YTFZucKSIt9Q==\"\u003eMetabase integrations\u003c/a\u003e\n \u003ca class=\"chip\" href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHz9PsZ6xb5pjpGeYDPJRbZ8dMj4HHyk8FI_TVxB2Q09fZsYXzRGEO9pXUPgKv_9pzPvAhYoWdLNDMMu0xCOVS2M_ozyAZPWPiyXPWCpUHTeMES5iIuxjngUQFx19wHVVDQKWbWnF2TDtT2NYzwC1BZulCk8BIb_01LLgiS2M_ArXCQsMqs-fLqQglqolHdE7EI5DSm4YQ6BA==\"\u003eMetabase data sources\u003c/a\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n",
"sdk_blob": null
},
"source_flagging_uris": null,
"web_search_queries": [
"Metabase integrations",
"Metabase data sources",
"Metabase API integrations"
]
},
"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": "DVyMaZuMOJLzkdUPgpeaEA",
"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 10:38:05 GMT",
"server": "scaffolding on HTTPServer2",
"server-timing": "gfet4t7; dur=8531",
"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": 674,
"candidates_tokens_details": null,
"prompt_token_count": 70,
"prompt_tokens_details": [
{
"modality": "TEXT",
"token_count": 70
}
],
"thoughts_token_count": 397,
"tool_use_prompt_token_count": 138,
"tool_use_prompt_tokens_details": [
{
"modality": "TEXT",
"token_count": 138
}
],
"total_token_count": 1279,
"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://www.metabase.com\n\nUser query: What are some integrations available for Metabase?",
"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": 0.001706,
"input_tokens": 70,
"model": "gemini-2.5-flash",
"output_tokens": 674,
"pricing_source": "local_price_table_v1",
"provider": "gemini",
"total_tokens": 1279
},
"usage_raw": {
"cache_tokens_details": null,
"cached_content_token_count": null,
"candidates_token_count": 674,
"candidates_tokens_details": null,
"prompt_token_count": 70,
"prompt_tokens_details": [
{
"modality": "TEXT",
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}
],
"thoughts_token_count": 397,
"tool_use_prompt_token_count": 138,
"tool_use_prompt_tokens_details": [
{
"modality": "TEXT",
"token_count": 138
}
],
"total_token_count": 1279,
"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://www.metabase.com\n\nUser query: What are some integrations available for Metabase?",
"model": "gemini-2.5-flash"
},
"model": "gemini-2.5-flash",
"provider": "gemini"
}
Error json
null