Skip to content
Communications ⇄ Data warehouse

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

Keep Gmail and Google Cloud Platform 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 Platform

Land the messages, calls, and events from Gmail in Google Cloud Platform as live tables, and write results back, without building or maintaining a pipeline.

Gmail produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Drafts, Attachments, History, Messages from Gmail into tables in Google Cloud Platform in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Google Cloud Platform — segments, contact updates, suppression flags — can be written back into fields in Gmail wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Mirror Labels with pipeline or ticket states so triage done in an external tool is reflected inside the inbox.
  • 02 Log sent and received Messages onto CRM contact and deal timelines automatically so reps never copy-paste email history.
  • 03 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Communications analytics without ETL

Messages, calls, and events from Gmail arrive in Google Cloud Platform as queryable tables, current within seconds instead of a day behind.

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Gmail land in Google Cloud Platform as they happen, so deliverability and response monitoring stop lagging the reality they describe.

Activity joined with everything else

Combine Gmail's activity with the CRM, product, and support data already in Google Cloud Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.

What you can sync between Gmail and Google Cloud Platform

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 Platform objects How this pairing syncs
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. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Messages is specific to Gmail and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.
Threads Conversation groupings that keep replies together; synced so a CRM timeline or support desk shows the full exchange, not isolated messages. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Threads is specific to Gmail and Cloud Storage objects to Google Cloud Platform — 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. Pub/Sub topics Event streams used to move change events between systems in near real time. Labels is specific to Gmail and Pub/Sub topics to Google Cloud Platform — 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. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Drafts is specific to Gmail and Firestore documents to Google Cloud Platform — 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. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Attachments is specific to Gmail and Spanner tables to Google Cloud Platform — 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. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. History is specific to Gmail and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Gmail and Google Cloud Platform

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 Platform 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 Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Gmail Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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 Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Gmail ⇄ Google Cloud Platform

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

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

Real-time

Two-way sync

Changes in Gmail or Google Cloud Platform 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 Platform 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 Platform record.

Observability

Monitoring

Track your Gmail ⇄ Google Cloud Platform 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 Platform.

How the Gmail and Google Cloud Platform 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 Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

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

    Choose tables

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

Gmail and Google Cloud Platform 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 390 integrations available for Gmail and Google Cloud Platform.

Popular · 6 of 390
All Gmail integrations All Google Cloud Platform 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