Supermetrics for Databricks
Connect Google Analytics 4 to Databricks — Web Analytics on the Lakehouse
Load GA4 session, event, and conversion data into Databricks for web analytics with full SQL power.
Why Connect Google Analytics 4 to Databricks?
Warehouse your GA4 data in Databricks for unlimited historical analysis and cross-source SQL.
ML conversion modeling on session data
Build conversion prediction models on your GA4 session history using Databricks Feature Store and MLflow. Compute features like rolling engagement rate and session depth, train models in PySpark notebooks, and deploy predictions — all in one platform.
Delta Lake versioning for GA4 drift
GA4 recalculates session attribution retroactively. Delta Lake versions every load automatically — use VERSION AS OF to compare how source/medium attribution shifted over time without maintaining manual snapshots.
Photon engine for session aggregations
Databricks Photon accelerates GA4 session roll-ups by 2-8x compared to standard Spark SQL. Landing page analysis, channel attribution, and multi-touch queries complete in seconds even across years of high-traffic data.
How to Connect Google Analytics 4 to Databricks
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Databricks as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Databricks workspace URL and access token, choose your catalog and schema, 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 Databricks Delta tables automatically.
Google Analytics 4 Data Schema in Databricks
Supermetrics creates and maintains clean, typed tables automatically. Here's what your GA4 data looks like in Databricks.
Data Freshness & Scheduling
GA4 data is typically available in Databricks within 4-8 hours of the reporting period end.
What Google Analytics 4 Data Can You Pull into Databricks?
Supermetrics gives Databricks access to your full GA4 reporting data — metrics and dimensions you already know from the GA4 interface.
Key Metrics
- Sessions
- Users
- New users
- Active users
- Views
- Engagement rate
- Average engagement time
- Bounce rate
- Conversions
- Conversion rate
- Revenue
- Event value
- Event count
- Transactions
- Ecommerce purchases
Key Dimensions
- Page path
- Source / Medium
- Campaign
- Channel group
- Device category
- Browser
- Country
- City
- Landing page
- Referrer
- Event name
Resources & Guides
Why Supermetrics for Databricks?
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 Databricks — 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 Google Analytics 4 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 Google Analytics 4 data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Analytics 4 dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Google Analytics 4 to Databricks with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Analytics 4 as the source and Databricks as the destination. Authorize your Google Analytics 4 account, provide your Databricks workspace URL and access token, choose your catalog, schema, and Unity Catalog settings, select the fields you need, set a schedule, and start the transfer. No custom notebooks, Spark jobs, or Delta Lake plumbing required — Supermetrics writes directly to Delta tables and registers them in Unity Catalog so your data is governed, versioned, and queryable with both SQL and PySpark from the moment it lands.
Is my Google Analytics 4 data secure when transferring to Databricks?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Analytics 4 credentials are encrypted at rest and in transit. Data flows directly from the Google Analytics 4 API into your Databricks workspace — Supermetrics never stores your marketing data on its own servers. Unity Catalog provides centralized governance: fine-grained row-level and column-level security, attribute-based access control, and a full audit log of who queried what. Delta Lake's transaction log makes every write atomic and traceable, so you always have a verifiable lineage of your Google Analytics 4 data from ingestion to insight.
Can I combine Google Analytics 4 data with other sources in Databricks?
That is one of the defining advantages of the Databricks lakehouse architecture. Once Google Analytics 4 data lands as a Delta table, you can JOIN it with any other table in your lakehouse — raw event streams, CRM exports, product analytics, even ML Feature Store tables used for model training. Query in SQL from Databricks SQL warehouses or switch to PySpark and pandas for data science workflows — same data, no copying. Supermetrics supports 170+ connectors that all land in the same Unity Catalog namespace, and the Photon engine accelerates analytical queries on those Delta tables automatically.
What Google Analytics 4 metrics and dimensions are available in Databricks?
All standard Google Analytics 4 reporting fields are available, including Sessions, Users, New users, Active users, Views, Engagement rate, 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 already stored in your Delta tables. Delta Lake's time travel lets you query any previous version of your Google Analytics 4 data — useful for auditing retroactive metric recalculations or reproducing a dashboard state from last quarter. Schema evolution is handled automatically, so new fields appear as columns without breaking existing queries.
How fresh is Google Analytics 4 data in Databricks?
Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Databricks. Most teams schedule daily transfers so yesterday's complete data is available each morning. Delta Lake's MERGE capability ensures only new and changed records are upserted, keeping cluster utilization and storage costs low. For teams that need near-real-time visibility, the Photon engine accelerates incremental queries so dashboards refresh in seconds, and you can set up Databricks SQL alerts to trigger notifications when key Google Analytics 4 metrics cross your thresholds.
Does the GA4 connector support custom events?
Yes. All standard and custom GA4 events, including custom conversion events, are available for transfer into Redshift.
Can I query multiple GA4 properties in the same Databricks catalog?
Yes. Connect multiple GA4 properties through Supermetrics and load them into the same Databricks catalog with a property identifier column.
Also Connect to Databricks
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