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Database ⇄ Business productivity

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

Keep Google Cloud SQL and SendGrid 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 Cloud SQL and SendGrid

Mirror SendGrid's data into Google Cloud SQL 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 SendGrid 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 Google Cloud SQL.

Stacksync mirrors Email Activity, Contacts, List, Segments from SendGrid into Schemas, Tables, Rows, Views in Google Cloud SQL 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 SendGrid, so the tool and the database never disagree.

Common use cases

  • Sync CRM contacts and their custom fields into SendGrid lists so campaign targeting reflects live sales data
  • Write bounces, spam reports, and unsubscribes back to the CRM to keep email opt-in status accurate everywhere
  • Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Read SendGrid with a query

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

Automate SendGrid from your codebase

Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into SendGrid, replacing custom integration code.

React to changes as they happen

Updates in SendGrid arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.

What you can sync between Google Cloud SQL and SendGrid

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 Cloud SQL objects SendGrid objects
Rows Read and written by primary key during each sync cycle. Single Sends One-off marketing campaigns whose stats are read back for reporting.
Views Read-only sources for shaping data before syncing it out. Unsubscribe Groups Synced with incremental and full sync per the Stacksync docs.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Email Activity Synced with incremental and full sync per the Stacksync docs.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Contacts Marketing recipients upserted from CRM or database records, including custom field values.
Databases Scope the tables included in a sync configuration. List Synced with incremental and full sync per the Stacksync docs.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Segments Query-based contact groups whose membership SendGrid computes from contact fields.
What ships with Google Cloud SQL ⇄ SendGrid

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Google Cloud SQL and SendGrid connectors work

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.

SendGrid

Integration surface
REST API (v3)
Authentication
API key (create in SendGrid Settings > API Keys with Custom Access / Full Access for the objects to sync; key begins with "SG")
Change detection
Event Webhook posts delivery and engagement events (processed, delivered, open, click, bounce, spam report) to an HTTP endpoint; contact and list changes are detected by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits; contact upserts are batched, asynchronous jobs rather than per-row writes
SendGrid setup guide
How it works

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

    Choose tables

    Pick the Google Cloud SQL and SendGrid 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 Cloud SQL ⇄ SendGrid
    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 Cloud SQL SendGrid
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and SendGrid integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Google Cloud SQL and SendGrid.

Popular · 8 of 386
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