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Database ⇄ CRM

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

Keep Google Cloud SQL and Streak CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Cloud SQL and Streak CRM

Treat Streak CRM 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 Boxes, Stages, Contacts, Organizations from Streak CRM into Instances, Databases, Schemas, Tables 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 Streak CRM 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 Sync Streak boxes into Postgres so operations can query pipeline data with SQL and back internal tools
  • 02 Push deals and contacts into a warehouse to report on pipeline alongside product and billing data
  • 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

Internal tools without API code

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

Trigger workflows from CRM changes

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

What you can sync between Google Cloud SQL and Streak CRM

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 Streak CRM objects How this pairing syncs
Views Read-only sources for shaping data before syncing it out. Email threads Gmail threads linked to boxes, since the CRM lives inside the inbox. Views is specific to Google Cloud SQL and Email threads to Streak CRM — each maps to any object or custom field on the other side.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Custom fields Per-pipeline field definitions that determine what data a box can hold. Transaction logs is specific to Google Cloud SQL and Custom fields to Streak CRM — 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. Pipelines Define the process and the custom field schema that boxes in them carry. Instances is specific to Google Cloud SQL and Pipelines to Streak CRM — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Boxes The core record (a deal, hire, or project) tracked through pipeline stages. Databases is specific to Google Cloud SQL and Boxes to Streak CRM — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Stages Pipeline steps whose transitions are the usual trigger for downstream syncs. Schemas is specific to Google Cloud SQL and Stages to Streak CRM — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Contacts People linked to boxes, synced with marketing and support tools. Tables is specific to Google Cloud SQL and Contacts to Streak CRM — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Streak CRM

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 Streak CRM 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 Streak CRM through its API, with automatic retries and rate-limit backoff.

Streak CRM Google Cloud SQL Interval-based propagation

DetectionStacksync polls Streak CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling against pipeline, box, and contact endpoints.

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.
  • Streak CRM: Subject to the platform's API rate limits; quotas are not prominently published.
What ships with Google Cloud SQL ⇄ Streak CRM

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL or Streak CRM 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 Streak CRM 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 Streak CRM record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Streak CRM 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 Streak CRM.

How the Google Cloud SQL and Streak CRM 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.

Streak CRM

Integration surface
REST API
Authentication
API key issued per user
Change detection
Polling against pipeline, box, and contact endpoints; Streak's automations can send outbound webhooks on higher plans
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits; quotas are not prominently published
How it works

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

    Choose tables

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

Google Cloud SQL and Streak CRM 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 352 integrations available for Google Cloud SQL and Streak CRM.

Popular · 6 of 352
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