Connect Google Ads to Azure Synapse — Search Ad Intelligence on Azure

Log into the Supermetrics Hub, create a new data transfer, select Google Ads as the source and Azure Synapse Analytics as the destination. Authorize your Google Ads account, enter your Synapse workspace endpoint and authentication details, choose your dedicated SQL pool and schema, select the fields you need, set a schedule, and start the transfer. No Azure Data Factory pipelines, custom SSIS packages, or PolyBase staging configurations required — Supermetrics handles the entire pipeline so your data lands in Synapse ready to query.

Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Ads credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the Google Ads API into your Synapse workspace — Supermetrics never stores your marketing data on its own servers. Azure Synapse provides enterprise-grade security through Azure Active Directory single sign-on, workspace-level firewall rules, column-level and row-level security on tables, and Transparent Data Encryption (TDE) for data at rest. Managed private endpoints keep traffic off the public internet entirely.

Absolutely — cross-source analysis is where Azure Synapse excels as a unified analytics platform. Once Google Ads data lands in your dedicated SQL pool, you can JOIN it with any other table in the pool. Need to pull in raw logs or archives? PolyBase and serverless SQL pools let you query Parquet, CSV, and JSON files directly in Azure Data Lake Storage without loading them into the warehouse. You can also connect Power BI natively to your Synapse workspace for live dashboards that blend Google Ads data with CRM, ERP, and product data — all within the Azure ecosystem. Supermetrics supports 170+ data sources that all load into the same Synapse workspace.

All standard Google Ads reporting fields are available, including Impressions, Clicks, Cost, Conversions, Conversion value, ROAS, 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 loaded into Synapse. Because Synapse dedicated SQL pools use MPP (massively parallel processing) architecture, analytical queries across wide tables with many metric columns execute fast — the engine distributes work across compute nodes automatically.

Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Azure Synapse. Most teams schedule daily transfers so yesterday's final numbers are available each morning. Incremental loading means only new and changed records are written, keeping DWU consumption and load times minimal. For ad-hoc exploration of the latest data, you can also use Synapse's serverless SQL pool to query staged files in Data Lake Storage on demand — no dedicated capacity required.

Yes. Load both sources into the same Synapse workspace and JOIN on campaign name, UTM parameters, or date. PolyBase also lets you query GA4 exports in S3 without loading them.

Supermetrics detects new and deprecated fields from the Google Ads API and applies ALTER TABLE statements automatically, so your Synapse tables always reflect the current API schema.