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The Google Sheets materialization connector writes Estuary collections into sheets within a Google spreadsheet, making operational data available for lightweight reporting, collaboration, and quick analysis. Each selected collection can be mapped to a separate sheet, and Estuary keeps those sheets updated as upstream data changes.

• Materialize Estuary collections into sheets within a selected Google spreadsheet.
• Map each collection to a specific sheet using a separate materialization binding.
• Authenticate with OAuth in the Estuary web app, or use a Service Account JSON key for manual configuration.
• Share the target spreadsheet with the service account and grant edit access when using service-account authentication.
• Use the spreadsheet URL and sheet name to configure where each collection is written.
• Add an internal tracking column to each sheet so Estuary can maintain materialization state.

💡 Tip: Use Google Sheets materialization for lightweight reporting, team dashboards, QA workflows, and quick operational views. For larger analytics workloads, use destinations such as BigQuery, Snowflake, Databricks, PostgreSQL, or S3.