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Business productivity ⇄ Database

Google Sheets to MySQL integration — real-time, two-way sync

Keep Google Sheets and MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Sheets and MySQL

Mirror Google Sheets's data into MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Google Sheets through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in MySQL.

Stacksync mirrors Named ranges, Cell values, Spreadsheets, Sheets (tabs) from Google Sheets into Triggers, Databases (Schemas), Tables, Views in MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Google Sheets, so the tool and the database never disagree.

Common use cases

  • 01 Prototype an integration by syncing a sheet before committing to a database schema.
  • 02 Give ops and finance teams an editable spreadsheet view of CRM or database records, with edits written back to the source.
  • 03 Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
  • 04 Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical

Common sync patterns

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Google Sheets with a query

Records from Google Sheets are ordinary rows in MySQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Google Sheets from your codebase

Write to the synced tables in MySQL and Stacksync propagates the change into Google Sheets, replacing custom integration code.

What you can sync between Google Sheets and MySQL

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Google Sheets objects MySQL objects How this pairing syncs
Cell values Untyped by default, so syncs handle type coercion for dates and numbers. Columns Field-level mapping targets with engine-typed values. Cell values is specific to Google Sheets and Columns to MySQL — each maps to any object or custom field on the other side.
Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Spreadsheets is specific to Google Sheets and Primary and Unique Keys to MySQL — each maps to any object or custom field on the other side.
Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. JSON Columns Validated semi-structured payloads for nested SaaS data. Sheets (tabs) is specific to Google Sheets and JSON Columns to MySQL — each maps to any object or custom field on the other side.
Rows Treated as records; a header row usually defines field names. Stored Procedures Server-side logic that can post-process synced rows. Rows is specific to Google Sheets and Stored Procedures to MySQL — each maps to any object or custom field on the other side.
Ranges Addressed in A1 notation for batched reads and writes. Triggers An alternative change-capture mechanism when binlog access is unavailable. Ranges is specific to Google Sheets and Triggers to MySQL — each maps to any object or custom field on the other side.
Named ranges Stable references that keep sync mappings valid when the grid moves. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Named ranges is specific to Google Sheets and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Google Sheets and MySQL

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Google Sheets MySQL Interval-based propagation

DetectionStacksync polls Google Sheets for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is applied to MySQL as a row-level write, with types converted between the two schemas.

MySQL Google Sheets Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

DeliveryEach detected change is written to Google Sheets through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Google Sheets: Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Google Sheets ⇄ MySQL

Connect Google Sheets and MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Sheets–MySQL connection.

Real-time

Two-way sync

Changes in Google Sheets or MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Sheets or MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Google Sheets or MySQL record.

Observability

Monitoring

Track your Google Sheets ⇄ MySQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Sheets and MySQL.

How the Google Sheets and MySQL connectors work

Google Sheets

Integration surface
REST API (Google Sheets API), with file-level change signals available through the Drive API
Authentication
OAuth 2.0 (user consent) or Google service accounts
Change detection
Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes
Capabilities
read · write
Rate limits
Subject to per-minute read and write quotas per project and per user, so large syncs are batched.

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Google Sheets to MySQL — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Google Sheets and MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Sheets connected
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Sheets and MySQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Sheets ⇄ MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Sheets MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Google Sheets and MySQL integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 553 integrations available for Google Sheets and MySQL.

Popular · 8 of 553
All Google Sheets integrations All MySQL integrations Browse all integrations
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