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Monitor SQL data quality and send email reports with Google Sheets logging

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Monitor SQL data quality and send email reports with Google Sheets logging preview
Open on n8n.io

1. Workflow Overview

This workflow automatically monitors and reports data quality for any SQL table using configurable checks and thresholds. It evaluates key metrics—including null values, duplicate records, row coun...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.postgres, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.gmail, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Bhautik Trambadia.

Original n8n.io source

1.1 Workflow description

Title
Monitor SQL data quality and send email reports with Google Sheets logging
Workflow name
Monitor SQL data quality and send email reports with Google Sheets logging

This workflow automatically monitors and reports data quality for any SQL table using configurable checks and thresholds. It evaluates key metrics—including null values, duplicate records, row count anomalies, and outliers—and assigns a clear PASS, WARN, or FAIL status.

Designed for efficiency, the workflow dynamically injects table and column names from a central Config node, so you don’t need to edit SQL queries manually. All checks run in parallel, and results are consolidated into a structured HTML report with clear status indicators.

The report is automatically sent via email and logged into Google Sheets for historical tracking, auditing, and trend analysis.

⚙️ Setup Update the Config node with your table name, column names, thresholds, and email recipient. Connect your database credentials (Postgres/MySQL) in all query nodes. Set up Gmail or SMTP credentials in the email node. Connect your Google Sheets account and ensure required columns exist. Activate the workflow (runs daily by default, can be customized).

This workflow is ideal for data analysts and analytics engineers who want a lightweight, automated solution to proactively monitor data quality without exporting large datasets or building complex pipelines.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - Config

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Null Check

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.5

Block 4 - Duplicate Check

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.5

Block 5 - Row Count

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.5

Block 6 - Outlier Check

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.5

Block 7 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3

Block 8 - Evaluate & Format

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - Log to Google Sheets

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 10 - Send a message

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 11 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Monitor SQL data quality and send email reports with Google Sheets logging
Complexity advanced
Nodes 17
Categories Document Extraction, AI Summarization
Author Bhautik Trambadia
Published 28 Mar 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14416/14416.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Monitor SQL data quality and send email reports with Google Sheets logging do?

This workflow automatically monitors and reports data quality for any SQL table using configurable checks and thresholds. It evaluates key metrics—including null values, duplicate records, row coun...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.