Connect Google Ads to Microsoft Fabric — Unified Microsoft Analytics

Log into the Supermetrics Hub, create a new data transfer, select Google Ads as the source and Microsoft Fabric (OneLake) as the destination. Authenticate with your Microsoft account, choose your Fabric workspace and lakehouse, select your metrics and dimensions, set a schedule, and start the transfer. Supermetrics writes data directly to OneLake as Delta Lake tables — no Data Factory pipelines to build. Once the data lands, it's instantly available through the lakehouse SQL endpoint for T-SQL queries and through the Spark endpoint for notebook-based analysis, giving every team their preferred access method from day one.

Supermetrics is SOC 2 Type II certified and GDPR compliant. Data transfers are encrypted end-to-end. Once in Fabric, your data inherits Microsoft's full enterprise security stack: Entra ID authentication, workspace-level and item-level permissions, row-level security that flows all the way through to Power BI DirectLake reports, sensitivity labels from Microsoft Purview for data classification, and OneLake data access roles for fine-grained folder-level control within lakehouses. Supermetrics never stores your marketing data after delivery.

Yes — that is one of Fabric's core strengths. Once your Google Ads data lands in a lakehouse as Delta Lake tables, you can join it with data from any other source using two complementary access paths: T-SQL via the lakehouse SQL endpoint (familiar to any SQL analyst) or Apache Spark notebooks for complex transformations and data science workflows. Because every Fabric lakehouse stores data in OneLake's open Delta Lake format, there is no data duplication — the same physical data is accessible across the SQL endpoint, Spark, Power BI DirectLake mode, KQL databases, and Data Activator alerts. Supermetrics supports 170+ marketing data sources, all deliverable to the same Fabric workspace.

All standard Google Ads reporting fields are available, including Impressions, Clicks, Cost, Conversions, Conversion value, ROAS, and more. You select the exact metrics and dimensions during setup. Data arrives in your lakehouse as Delta Lake tables, which means you get ACID transactions, time travel (query historical snapshots), and schema evolution out of the box. The data is immediately queryable from any Fabric experience and can power Power BI DirectLake dashboards that read the Delta tables in-place — no import or scheduled refresh required — delivering near-real-time reporting with no data movement.

Your transfer schedule controls data freshness. Supermetrics supports hourly, daily, weekly, or monthly transfers to Fabric. Most teams run daily refreshes to have yesterday's complete Google Ads data ready each morning. Incremental loading writes only new and changed records, keeping transfer times fast and Fabric capacity usage low. Because the data lands as Delta Lake tables, Power BI reports using DirectLake mode reflect the latest data without a separate import refresh — the moment Supermetrics delivers new Google Ads records, your dashboards are up to date.

Yes. During setup you can trigger a backfill of historical data from the Google Ads API. The backfill uses the same file format and folder structure as ongoing transfers.

Supermetrics writes files organized by date into the prefix you configure. This date-based partitioning works natively via SQL endpoint and Data Factory for cost-efficient queries.