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Database ⇄ Business productivity

Google Cloud SQL to Lusha integration — real-time data sync

Keep Google Cloud SQL and Lusha 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 Lusha

Mirror Lusha'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.

Lusha is a read-only source: Stacksync reads its data in real time and delivers it into Google Cloud SQL, so Google Cloud SQL always reflects the current state of Lusha — without exports, scripts, or schedulers.

Engineers integrate with tools like Lusha 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 Company Profiles, Email Addresses, Phone Numbers, Prospecting Results from Lusha into Views, Transaction logs, Instances, Databases 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 Lusha, so the tool and the database never disagree.

Common use cases

  • Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
  • Append firmographic company data to account records before territory or scoring runs.
  • 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.

Read Lusha with a query

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

Automate Lusha from your codebase

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

React to changes as they happen

Updates in Lusha 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 Lusha

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 Lusha objects
Databases Scope the tables included in a sync configuration. Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Company Profiles Firmographic records (industry, size, location) appended to account or company rows.
Tables Mapped directly to sync targets; schema changes can be propagated. Email Addresses Work emails written into CRM contact fields during enrichment.
Rows Read and written by primary key during each sync cycle. Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows.
Views Read-only sources for shaping data before syncing it out. Prospecting Results Search-based lists of people and companies matching filters, used to seed lead lists.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls.
What ships with Google Cloud SQL ⇄ Lusha

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

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

Real-time

Real-time sync

Changes in Google Cloud SQL or Lusha 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 Lusha 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 Lusha record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Lusha 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 Lusha.

How the Google Cloud SQL and Lusha 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.

Lusha

Integration surface
REST API
Authentication
API key
Change detection
Not event-driven; data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change
Capabilities
read
Rate limits
Lookups consume credits and are subject to the platform's API rate limits.
How it works

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

    Choose tables

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

Google Cloud SQL and Lusha 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 Lusha.

Popular · 8 of 386
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