Google Search Console → Azure Synapse

AI-first ETL from Google Search Console into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Search Console into Azure Synapse

Datrise syncs Google Search Console's queries, pages, impressions, clicks, and index coverage into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Google Search Console: Organic search performance and indexing insights.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Google Search Console entities map to Azure Synapse

Google Search Console entity	Azure Synapse object	Notes
queries	`google_search_console_queries`	id PK · custom fields → NVARCHAR(MAX) JSON columns
pages	`google_search_console_pages`	id PK · linked to google_search_console_queries
impressions	`google_search_console_impressions`	id PK · linked to google_search_console_queries
clicks	`google_search_console_clicks`	id PK · linked to google_search_console_queries

FAQ

How does Datrise handle Google Search Console's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Google Search Console to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

Connect Google Search Console to Azure Synapse the easy way

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