Supermetrics for BigQuery
Connect Matomo to BigQuery — Privacy-First Analytics at Warehouse Scale
Move your self-hosted Matomo analytics into BigQuery. Full data ownership, zero sampling, GDPR-compliant from the ground up — now with warehouse-scale SQL analysis.
Why Connect Matomo to BigQuery?
Warehouse your Matomo data in BigQuery for unlimited historical analysis and cross-source SQL.
- Run SQL queries on your complete Matomo dataset with zero sampling in BigQuery.
- JOIN Matomo data with GA4, Search Console, or ad platform data for comprehensive analysis.
- Maintain complete control over your analytics data while gaining BigQuery's analytical power.
How to Connect Matomo to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Matomo Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Matomo data looks like in BigQuery.
Data Freshness & Scheduling
Matomo data typically available within 2-4 hours. Daily transfers recommended.
What Matomo Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Matomo reporting data — metrics and dimensions you already know from the Matomo interface.
Key Metrics
- Visits
- Unique visitors
- Pageviews
- Bounce rate
- Actions per visit
- Avg. visit duration (sec)
- Conversions
- Revenue
- Avg. page load time (sec)
- Exit rate
Key Dimensions
- Page URL
- Country
- City
- Device type
- Web-browser language
- Website name
- Region
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
Supermetrics is Google Cloud Ready — BigQuery
FIFCO: saved $70k + 160 hrs/month
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Matomo records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Matomo data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Matomo dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Matomo as the source and BigQuery as the destination. Authorize your Matomo account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Matomo credentials are encrypted at rest and in transit. Data flows directly from the Matomo API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
- That is one of the biggest advantages of warehousing your data. Once Matomo lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
- All standard Matomo reporting fields are available, including Visits, Unique visitors, Pageviews, Bounce rate, Actions per visit, Avg. visit duration (sec), and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
- Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
- Yes. Supermetrics connects to both self-hosted Matomo and Matomo Cloud instances.
- No. Matomo data is unsampled by design, and BigQuery preserves this accuracy.
Also Connect to BigQuery
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