Google Analytics 4 to Databricks integration
Connect Google Analytics 4 to Databricks and automatically sync your marketing platform data. Weld extracts Sessions, Users, Events, and Conversions from Google Analytics 4, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceGoogle Analytics 4Connected- campaign_performance15 cols
- channel_traffic15 cols
- social_media_acquisitions15 cols
- browser_and_operating_system_overview14 cols
- page_path13 cols
- audience_overview11 cols
- Extract
- Load
- Keep in sync
DestinationDatabricksReady- google_analytics_4.campaign_performanceSynced
- google_analytics_4.channel_trafficSyncing
- google_analytics_4.social_media_acquisitionsSynced
- google_analytics_4.browser_and_operating_system_overviewSynced
- google_analytics_4.page_pathSynced
- google_analytics_4.audience_overviewSynced
- Google Analytics 4 tables
- 7
- fields, typed
- 93
- agent context included
- MCP
Trusted by data and AI teams
How to set up Google Analytics 4 to Databricks in Weld.
In the app, with the API or an agent.
New connectionGoogle Analytics 4AuthorisedWhy sync Google Analytics 4 to Databricks?
Ready for analysis.
Centralizing your Google Analytics 4 data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Google Analytics 4 data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Google Analytics 4 data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Google Analytics 4 to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Google Analytics 4 table, keys intact.
Weld syncs the following data objects from Google Analytics 4 into Databricks. The exact tables and fields depend on your Google Analytics 4 configuration and the permissions granted during setup.
- campaign_performance
- channel_traffic
- social_media_acquisitions
- browser_and_operating_system_overview
- page_path
- audience_overview
- events_overview
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Google Analytics 4 context, finds the tables it needs and runs the query in Databricks.
How many campaign_performance rows do we have in Databricks?
Reading the Google Analytics 4 context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Google Analytics 4 API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Google Analytics 4 adds new fields, they're detected and added to the corresponding Databricks tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Google Analytics 4 setup guide
How to connect Google Analytics 4 to Weld, step by step.
DocumentationDatabricks setup guide
How to connect Databricks to Weld, step by step.
SchemaGoogle Analytics 4 schema explorer
Browse all 7 tables and 93 fields.
ConnectorGoogle Analytics 4 connector
Everything Weld does with Google Analytics 4.
Common questions.
About Google Analytics 4 to Databricks.
Start syncing Google Analytics 4 to Databricks.
Set up your Google Analytics 4 data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
