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Database ⇄ CRM

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

Keep Google Cloud SQL and Nimble 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Google Cloud SQL and Nimble

Treat Nimble 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 Custom fields, Contacts, Companies, Deals from Nimble into Rows, Views, Transaction logs, Instances 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 Nimble 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

  • Push product usage or billing flags from internal databases into Nimble custom fields so reps have context before outreach.
  • Keep deals aligned between Nimble and an accounting system so invoicing starts when a deal closes.
  • Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Nimble API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Nimble 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 Nimble become tables in Google Cloud SQL you can join with application data directly.

What you can sync between Google Cloud SQL and Nimble

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 Nimble objects
Databases Scope the tables included in a sync configuration. Notes Free-text records attached to contacts, replicated for a complete account timeline
Schemas Namespace tables in PostgreSQL and SQL Server instances. Tags Segmentation labels that map to list membership or filters in downstream systems
Tables Mapped directly to sync targets; schema changes can be propagated. Custom fields Account-defined contact attributes that carry enrichment or internal identifiers
Rows Read and written by primary key during each sync cycle. Contacts Person records with multi-value fields for email, phone, and social profiles; the primary sync entity
Views Read-only sources for shaping data before syncing it out. Companies Stored as contact records with a company record type, so they sync through the same contacts resource
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity
What ships with Google Cloud SQL ⇄ Nimble

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL or Nimble 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 Nimble 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 Nimble record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Nimble 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 Nimble.

How the Google Cloud SQL and Nimble 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.

Nimble

Integration surface
REST API (JSON)
Authentication
API key; OAuth 2.0 available for registered applications
Change detection
polling on record modification timestamps
Capabilities
read · write
Rate limits
subject to per-account API request quotas
How it works

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

    Choose tables

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

Google Cloud SQL and Nimble 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 Nimble.

Popular · 8 of 386
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