Skip to content
Communications ⇄ Database

Gmail to Google Cloud SQL integration — real-time, two-way sync

Keep Gmail and Google Cloud SQL 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Gmail and Google Cloud SQL

Turn the messages, calls, and events Gmail handles into live rows in Google Cloud SQL, and write back to trigger new outbound communication, with both sides in sync in seconds.

Engineers reach communications tools like Gmail through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in Google Cloud SQL next to everything else.

Stacksync mirrors Attachments, History, Messages, Threads from Gmail into Views, Transaction logs, Instances, Databases in Google Cloud SQL and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Gmail so the tool and the database never disagree.

There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.

Common use cases

  • 01 Create Drafts in a rep's mailbox from CRM templates and sequences, keeping sends authentic to the sender's address and signature.
  • 02 Read Attachments and message metadata into a warehouse or document store for retention, discovery, and compliance reporting.
  • 03 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 04 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Common sync patterns

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in Google Cloud SQL as row changes, so triggers, jobs, and services can respond in near real time.

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

Communication history as database rows

Every message, call, or event Gmail records becomes rows in Google Cloud SQL, ready to query, join with your own data, and report on without touching the vendor API.

What you can sync between Gmail and Google Cloud SQL

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.

Gmail objects Google Cloud SQL objects How this pairing syncs
Threads Conversation groupings that keep replies together; synced so a CRM timeline or support desk shows the full exchange, not isolated messages. Views Read-only sources for shaping data before syncing it out. Threads is specific to Gmail and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Labels User and system labels (INBOX, SENT, custom); applied and removed via sync to mirror pipeline stages or triage states from an external system. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Labels is specific to Gmail and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.
Drafts Unsent messages; created and updated from templates or sequence tools so reps review before sending from their own mailbox. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Drafts is specific to Gmail and Instances to Google Cloud SQL — each maps to any object or custom field on the other side.
Attachments File payloads referenced by message part; read out to storage or a document system for archival and compliance workflows. Databases Scope the tables included in a sync configuration. Attachments is specific to Gmail and Databases to Google Cloud SQL — each maps to any object or custom field on the other side.
History The incremental change log keyed by historyId; used for efficient delta sync so only mailbox changes since the last cursor are fetched. Schemas Namespace tables in PostgreSQL and SQL Server instances. History is specific to Gmail and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side.
Messages Individual emails with headers, body, and label state; read out to a CRM or warehouse for activity logging, and sent or modified two-way from sales tools. Tables Mapped directly to sync targets; schema changes can be propagated. Messages is specific to Gmail and Tables to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Gmail and Google Cloud SQL

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.

Gmail Google Cloud SQL Sub-second propagation

DetectionGmail notifies Stacksync of record changes through webhook events. Incremental sync via users.history.list from a stored historyId cursor, plus real-time push notifications through Google Cloud Pub/Sub watch on the.

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

Google Cloud SQL Gmail Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Rate-limit considerations

  • Gmail: Quota is measured in units per user per second (e.g. messages.list = 5 units, messages.send = 100 units) against a 250 quota-unit/user/second limit and a daily project cap; exceeding limits returns 429 with exponential backoff expected.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Gmail ⇄ Google Cloud SQL

Connect Gmail and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gmail–Google Cloud SQL connection.

Real-time

Two-way sync

Changes in Gmail or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gmail or Google Cloud SQL 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 Gmail or Google Cloud SQL record.

Observability

Monitoring

Track your Gmail ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gmail and Google Cloud SQL.

How the Gmail and Google Cloud SQL connectors work

Gmail

Integration surface
Gmail API (REST, v1)
Authentication
OAuth 2.0 via Google — user-authorized consent with granular scopes (gmail.readonly, gmail.modify, gmail.send, gmail.labels); restricted scopes require Google's app verification for production use
Change detection
Incremental sync via users.history.list from a stored historyId cursor, plus real-time push notifications through Google Cloud Pub/Sub watch on the mailbox (watch must be renewed at least every 7 days)
Capabilities
read · write · webhooks
Rate limits
Quota is measured in units per user per second (e.g. messages.list = 5 units, messages.send = 100 units) against a 250 quota-unit/user/second limit and a daily project cap; exceeding limits returns 429 with exponential backoff expected.

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Gmail to Google Cloud SQL — 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 Gmail and Google Cloud SQL 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
    Gmail connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gmail and Google Cloud SQL 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 · Gmail ⇄ Google Cloud SQL
    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
    Gmail Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Gmail and Google Cloud SQL 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 286 integrations available for Gmail and Google Cloud SQL.

Popular · 5 of 286
All Gmail integrations All Google Cloud SQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own