n8n Data Tables in 2025 – Full Guide to Store and Manage Workflow Data

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n8n Data Tables in 2025: Complete Guide, Examples, and Use Cases

Feature Overview

n8n Data Tables in 2025: Complete Guide, Examples, and Use Cases

The n8n Data Tables feature gives creators an easy way to store and manage structured data directly inside their automation environment. It removes the need for external databases in many workflows — letting teams save, query, and connect data with nodes and AI logic instantly.

Official reference: n8n Data Tables Documentation

What Are Data Tables in n8n

Data Tables are built-in, spreadsheet-like collections that store rows and columns of information inside n8n. Think of them as lightweight databases that are secure, fast, and easy to query within any workflow.

Each Data Table has its own schema, permission controls, and API access path — meaning teams can treat them like embedded databases for automations.

Why Use Data Tables

  • Eliminate external database dependencies for smaller automations
  • Store structured information between workflow runs
  • Link AI outputs or webhooks to reusable datasets
  • Manage user inputs, leads, or logs easily inside n8n
  • Query and update data dynamically during workflow execution

How to Create and Use n8n Data Tables

  1. Open n8n and navigate to the Data Tables tab.
  2. Click New Table and define the column structure (for example: name, email, status).
  3. Add or import sample rows manually, or let a workflow populate them.
  4. Inside a workflow, use the Data Table node to read, write, or delete rows.
  5. Connect results to other nodes like Gmail, Notion, or AI models for processing.
Tip: Each Data Table exposes its own API endpoint. You can send external POST or GET requests directly to interact with it outside the n8n UI.

Example Use Cases

  • Lead Management: Store captured leads from a form webhook and update their status after email verification.
  • AI Output Tracking: Record GPT or DeepSeek responses for future review or fine-tuning.
  • CRM Sync Logs: Track CRM API events, failed updates, or webhook calls.
  • Team Reporting: Create a shared table for daily performance metrics synced to Google Sheets.
  • Chatbot Memory: Save user messages and context for consistent AI responses over time.

Data Tables vs External Databases

Feature Data Tables External DB (MySQL, Airtable, etc.)
Setup Instant inside n8n Requires external config
Performance Optimized for small to medium data Scalable for large enterprise use
Ease of use Visual and simple Requires SQL or API familiarity
Integration Seamless inside workflows Needs custom connection setup

Verdict

The n8n Data Tables feature bridges the gap between automation and data management. It’s perfect for creators who want a fast, internal data layer without relying on third-party tools. For small to medium-scale automations, Data Tables offer a powerful way to store and query information natively.

Ready-to-Use n8n Templates

Discover automation templates that already include Data Tables for lead tracking, AI logs, and workflow storage. Start faster and modify them to fit your setup.

Explore Templates

FAQ: n8n Data Tables

Is n8n Data Tables free to use
Yes. The feature is included in both self-hosted and cloud versions of n8n.
Can I access Data Tables via API
Yes. Every Data Table exposes an API endpoint with standard CRUD operations.
Is it secure for sensitive data
Data Tables use n8n’s encryption and access control system. Still, external databases may be safer for regulated industries.
Can I migrate Data Tables to external tools
Yes. You can export data as CSV or use workflows to sync with Google Sheets, Airtable, or MySQL.

Last updated on 04 October 2025

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