Metabase Integration

Metabase Data Integration — Open Source BI Enhanced

Connect 500+ marketing platforms to Metabase and let AI agents query normalized tables to build dashboards and answer attribution questions.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Metabase
Show me dashboard performance across our retail analytics workspaces for the last 30 days.
Your Metabase instance has 847 queries executed with an average response time of 1.2 seconds. Top workspace: Product Analytics with 312 active dashboards and 89% cache hit rate.
Which dashboards have the slowest query performance and need optimization?
Found 12 dashboards with queries exceeding 5 seconds. Top offender: 'Regional Sales Breakdown' averaging 8.4 seconds with 23 daily users. I can flag these for your data team or suggest index optimizations.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Metabase Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect marketing data to Metabase

Improvado extracts data from 500+ marketing platforms and loads it into databases that Metabase can query, including PostgreSQL, MySQL, and cloud data warehouses. The platform handles all API connections, data extraction, and database schema management without requiring database administration skills. Marketing teams can connect Google Ads, Facebook, Salesforce, and other platforms to create comprehensive Metabase dashboards. Automated data pipelines ensure your Metabase questions and dashboards reflect the latest marketing performance.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Metabase API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Metabase through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Structured data for Metabase analytics

Improvado's Marketing Common Data Model creates consistent database schemas that Metabase can easily query and visualize. The platform transforms raw API data into clean, normalized tables with proper relationships and data types. Marketing teams can build cross-platform analysis in Metabase without complex SQL joins or data modeling. Standardized metrics enable direct comparison of performance across different advertising platforms and marketing channels.

Metabase API · [VERIFY]API key · on-demand sync · full refresh
Schema Overview

Data objects and fields Improvado extracts from Metabase

Object Fields
Database
database_id name engine host port
Question
question_id query visualization collection status
Dashboard
dashboard_id name cards collection metadata
Collection
collection_id name questions dashboards permissions
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Metabase instance via API token with read/write permissions. The agent authenticates to your self-hosted or cloud deployment and accesses dashboard metadata, query logs, and user activity across all collections and workspaces.

2

Ask

Ask questions like 'Which dashboards haven't been viewed in 90 days?' or 'Show me queries with the highest database load' or 'What's the cache hit rate for our executive dashboards?'

3

Act

The agent archives unused dashboards, updates query schedules, adjusts caching policies, creates new questions from natural language, duplicates dashboards across workspaces, and modifies permissions for collections based on usage patterns.

Use Cases

What teams ask their AI agent about Metabase

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Build marketing attribution dashboards in Metabase with clean, queryable data tables

Your AI agent analyzes Metabase data and delivers actionable insights — automatically, in seconds.

8 hrs → 20 min
A
Improvado Agent Cross-channel

Create automated marketing reports with cross-platform metrics and KPIs

Your AI agent analyzes Metabase data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
A
Improvado Agent Reporting

Enable self-service analytics for marketing teams with normalized data models

Your AI agent analyzes Metabase data and delivers actionable insights — automatically, in seconds.

Manual → auto
AI Agent Access

Your agent writes SQL queries against clean marketing tables in Metabase

Read

The agent reads dashboard view counts, query execution times, cache performance, user activity logs, collection structures, database connection health, question configurations, filter usage, and scheduled refresh status across your entire Metabase deployment.

Write

The agent archives or unarchives dashboards, creates and modifies questions, updates caching rules, adjusts refresh schedules, duplicates content across collections, changes dashboard permissions, adds users to groups, and configures alert thresholds for query performance.

Monitor

The agent monitors dashboard load times exceeding thresholds, queries consuming excessive database resources, dashboards with zero views over specified periods, cache hit rates dropping below targets, failed scheduled refreshes, and user access patterns indicating permission adjustments.

AI agents query normalized marketing data from 500+ sources loaded into PostgreSQL or MySQL for Metabase. They build custom attribution models by joining ad spend, CRM contacts, and conversion events across platforms. Agents create dashboard cards by calculating channel-specific ROAS, customer acquisition costs, and funnel conversion rates.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Metabase
You
Show me our most-used Metabase dashboards and their performance metrics
A
Dashboard Usage
Dashboard Daily Views Avg Load Time
Store Performance Overview 342 views 1.8s
Inventory Turnover Analysis 287 views 2.1s
Customer Cohort Retention 219 views 3.4s
Regional Sales Breakdown 156 views 8.4s
Supply Chain Metrics 134 views 2.9s
5 dashboards · 1,138 daily views · avg 3.7s load time
You
Archive the Regional Sales Breakdown dashboard and notify stakeholders
A
Dashboard Archived
156 daily users will receive migration notice
Destinations

Send Metabase data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Metabase as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What databases does Improvado support for Metabase?
Improvado loads data into PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, and other databases that Metabase supports. The platform creates optimized table structures and indexes for fast query performance. Database connection details are provided for easy Metabase configuration.
How does Improvado structure marketing data for Metabase?
The platform creates clean, normalized tables with consistent naming conventions and proper data types. Related data is structured with foreign keys to enable easy joins in Metabase. Pre-built views and aggregation tables improve query performance for common marketing metrics.
Can I use Metabase's native database connectors instead?
Metabase connects to databases but doesn't extract data from marketing APIs. You would need separate ETL processes to get marketing data into your database before Metabase can access it. Improvado handles the complete pipeline from API extraction to database loading.
Does this integration work with Metabase Cloud and self-hosted?
Yes, Improvado works with both Metabase Cloud and self-hosted installations. The platform loads data into your chosen database, which Metabase then connects to regardless of deployment method. Database credentials and connection details are provided for setup.
How often does marketing data refresh in the database?
Refresh schedules are configurable from every 15 minutes to daily based on your needs and API limitations. Most advertising platforms support hourly updates while some social media data refreshes every 4-6 hours. Improvado manages all data pipeline scheduling and monitoring.
Can I create custom metrics and calculations with Improvado data?
Improvado provides both raw metrics and calculated fields like cost-per-acquisition and return on ad spend. Additional custom metrics can be created through Metabase's question builder or custom SQL. The platform also supports custom transformations during the data pipeline process.