Supermetrics for Azure SQL
Connect Google Search Console to Azure SQL Database — SEO Data in Azure
Load Google Search Console query and page performance data into Azure SQL Database for SEO analytics at scale.
Why Connect Google Search Console to Azure SQL Database?
Warehouse your Search Console data in Azure SQL Database for unlimited historical analysis and cross-source SQL.
- Search Console retains only 16 months of data. Redshift stores it indefinitely for long-term ranking trend analysis.
- Join Search Console organic data with Google Ads paid data in Azure SQL Database for unified search visibility reporting.
- Track average position changes for thousands of keywords over time with efficient Azure SQL columnstore queries.
How to Connect Google Search Console to Azure SQL Database
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Azure SQL Database as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Azure SQL connection details, 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 Azure SQL automatically.
Google Search Console Data Schema in Azure SQL Database
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Search Console data looks like in Azure SQL Database.
Data Freshness & Scheduling
Search Console data is typically available in Azure SQL Database within 48-72 hours due to Google processing delays.
What Google Search Console Data Can You Pull into Azure SQL Database?
Supermetrics gives Azure SQL Database access to your full Search Console reporting data — metrics and dimensions you already know from the Search Console interface.
Key Metrics
- Clicks
- Impressions
- CTR
- Average position
- Submitted URLs
- Indexed URLs
- Sitemap warnings
- Sitemap errors
Key Dimensions
- Query
- Page
- Country
- Device
- Date
- Search type (Web/Image/Video)
- Sitemap
- Landing page
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Why Supermetrics for Azure SQL Database?
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 Azure SQL Database — 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 Search Console 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 Search Console data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Search Console 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 Google Search Console as the source and Azure SQL Database as the destination. Authorize your Google Search Console account, provide your Azure SQL connection string, choose the fields you want, set a schedule, and start the transfer. Supermetrics writes data using optimized T-SQL bulk operations, so no custom ETL code, stored procedures, or Azure Data Factory pipelines are required — tables are created and managed automatically with full SQL Server compatibility.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Search Console credentials are encrypted at rest and in transit. Data flows directly from the Google Search Console API to your own Azure SQL Database — Supermetrics does not store your marketing data on its servers. Azure SQL Database provides multiple security layers: Transparent Data Encryption (TDE) encrypts data at rest automatically, Azure AD authentication replaces passwords with enterprise identity, row-level security restricts which teams see which data, and Advanced Threat Protection monitors for anomalous access patterns. Your marketing data gets the same enterprise security as any mission-critical Azure workload.
- That is one of the biggest advantages of storing marketing data in Azure SQL Database. Once Google Search Console lands in your database, you can JOIN it with any other table — CRM records, ERP data, product catalogs, other ad platforms — using familiar T-SQL, the same query language your team already knows from SQL Server. Because Azure SQL Database is fully compatible with the SQL Server ecosystem, you can connect Power BI, SSRS, Excel, or any ODBC/JDBC tool directly. Supermetrics supports 170+ data sources that can all land in the same database for unified analysis.
- All standard Google Search Console reporting fields are available, including Clicks, Impressions, CTR, Average position, Submitted URLs, Indexed URLs, 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. Azure SQL Database supports columnstore indexes for analytics workloads — if your Google Search Console tables grow large, adding a clustered columnstore index can speed up aggregation queries by 10x or more, bringing warehouse-class performance to a managed relational database.
- 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. Azure SQL Database scales compute independently of storage, so you can temporarily bump to a higher service tier during peak load windows and scale back down when transfers finish, keeping costs predictable.
- Search Console API provides up to 16 months of history. Once loaded into Redshift, the data is retained indefinitely for long-term trend analysis.
- Yes. The branded vs non-branded dimension is available, allowing you to segment organic traffic by brand intent in your SQL queries.
Also Connect to Azure SQL Database
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