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Database ⇄ CRM

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

Keep Google Cloud SQL and Kommo 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 Kommo

Treat Kommo like part of your database: its records live in Google Cloud SQL as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Google Cloud SQL, where it can be queried and joined like everything else.

Stacksync mirrors Leads, Contacts, Companies, Pipelines & Statuses from Kommo into Views, Transaction logs, Instances, Databases in Google Cloud SQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Kommo with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • 01 Keep customer records consistent between Kommo and invoicing or ERP systems
  • 02 Mirror pipeline stage changes into BI tools for forecasting
  • 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

Trigger workflows from CRM changes

Field and stage updates in Kommo arrive as row changes in Google Cloud SQL, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Kommo become tables in Google Cloud SQL you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Google Cloud SQL sync onto the matching records in Kommo, giving go-to-market teams live product context.

What you can sync between Google Cloud SQL and Kommo

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 Kommo objects How this pairing syncs
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. Transaction logs is specific to Google Cloud SQL and Pipelines & Statuses to Kommo — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Tasks Follow-up records keep rep activity consistent across systems. Instances is specific to Google Cloud SQL and Tasks to Kommo — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Notes Free-text and system notes attach context to synced leads and contacts. Databases is specific to Google Cloud SQL and Notes to Kommo — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Custom Fields Per-entity custom fields hold data written from external databases and enrichment. Schemas is specific to Google Cloud SQL and Custom Fields to Kommo — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Users Account users map lead ownership to people in other systems. Tables is specific to Google Cloud SQL and Users to Kommo — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Chats Messenger conversations from WhatsApp, Instagram, and other channels attach to leads and contacts. Rows is specific to Google Cloud SQL and Chats to Kommo — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Kommo

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 Cloud SQL Kommo 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 Kommo through its API, with automatic retries and rate-limit backoff.

Kommo Google Cloud SQL Sub-second propagation

DetectionKommo notifies Stacksync of record changes through webhook events. Webhooks on record add and update events, plus polling for backfill.

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

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • Kommo: Subject to per-account request rate limits.
What ships with Google Cloud SQL ⇄ Kommo

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL or Kommo 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 Kommo 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 Kommo record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Kommo 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 Kommo.

How the Google Cloud SQL and Kommo 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.

Kommo

Integration surface
REST API
Authentication
OAuth 2.0 with refresh tokens
Change detection
Webhooks on record add and update events, plus polling for backfill
Capabilities
read · write · webhooks
Rate limits
Subject to per-account request rate limits
How it works

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

    Choose tables

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

Google Cloud SQL and Kommo 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 447 integrations available for Google Cloud SQL and Kommo.

Popular · 6 of 447
All Google Cloud SQL integrations All Kommo integrations Browse all integrations
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