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Database

Connect Google Cloud SQL to any app with two-way sync.

Two-way sync Google Cloud SQL across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Google Cloud SQL.

These objects sync between Google Cloud SQL and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Google Cloud SQL exposes them.

Instances
The managed MySQL, PostgreSQL, or SQL Server server a sync connects to.
Databases
Scope the tables included in a sync configuration.
Schemas
Namespace tables in PostgreSQL and SQL Server instances.
Tables
Mapped directly to sync targets; schema changes can be propagated.
Rows
Read and written by primary key during each sync cycle.
Views
Read-only sources for shaping data before syncing it out.
Transaction logs
MySQL binlog or PostgreSQL WAL, the source for log-based change capture.
API surface

How Stacksync connects to Google Cloud SQL.

The connector runs on Google Cloud SQL's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
Constrained by instance size and connection limits rather than API quotas.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
What ships with Google Cloud SQL

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Google Cloud SQL record.

Observability

Monitoring

Track your 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.

Use cases

What teams run on the Google Cloud SQL connector.

Cloud SQL is bought by engineering and IT teams that want managed MySQL, PostgreSQL, or SQL Server without operating the database themselves; Google handles backups, high availability, and patching. It commonly hosts the operational databases behind internal tools and product backends, so it steadily accumulates the business data other teams want reflected in SaaS applications and warehouses.

  • Data engineering
  • Database administrators
  • IT operations
  • Backend engineering

  1. Run a two-way sync between a Cloud SQL Postgres or MySQL database and a CRM so RevOps works in the CRM while engineers keep SQL access.

  2. Capture changes from the MySQL binlog or PostgreSQL WAL and replicate them to downstream systems in near real time.

  3. Land SaaS data such as Stripe or HubSpot records into Cloud SQL tables so internal tools query it with plain SQL.

  4. Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.

  5. Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

  6. Two-way sync Tables in a Cloud SQL database with a CRM so RevOps sees product data in the CRM while application code reads CRM fields as plain Rows.

All Google Cloud SQL integrations

Pick the system you need to keep in sync with Google Cloud SQL. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 30

ERP · 24

Database · 20

Data warehouse · 9

Business productivity · 26

Accounting and finance · 13

How it works

Set up Google Cloud SQL in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL connector FAQ

What can I sync with the Google Cloud SQL connector?

Google Cloud SQL's core objects — Instances, Databases, Schemas, Tables and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Google Cloud SQL?

Via Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management, authenticated with Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Changes are detected as follows — engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Google Cloud SQL connector two-way?

Yes. Changes made in Google Cloud SQL propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Google Cloud SQL integration take to set up?

Most Google Cloud SQL integrations go live in minutes: authenticate Google Cloud SQL and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Google Cloud SQL data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Google Cloud SQL data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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