Real-time
Real-time sync
Changes in Google Cloud SQL or Lusha instantly reflect in both systems. No stale data, no manual imports.
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
- 01 Backfill missing phone numbers on an existing contact list stored in a database or warehouse.
- 02 Append firmographic company data to account records before territory or scoring runs.
- 03 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
- 04 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| Databases Scope the tables included in a sync configuration. | Person Profiles Contact-level enrichment results (work emails, phone numbers, title, company) returned per lookup. | Databases is specific to Google Cloud SQL and Person Profiles to Lusha — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Company Profiles Firmographic records (industry, size, location) appended to account or company rows. | Schemas is specific to Google Cloud SQL and Company Profiles to Lusha — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | Email Addresses Work emails written into CRM contact fields during enrichment. | Tables is specific to Google Cloud SQL and Email Addresses to Lusha — each maps to any object or custom field on the other side. | |
| Rows Read and written by primary key during each sync cycle. | Phone Numbers Direct-dial and mobile numbers appended for outbound calling workflows. | Rows is specific to Google Cloud SQL and Phone Numbers to Lusha — each maps to any object or custom field on the other side. | |
| 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. | Views is specific to Google Cloud SQL and Prospecting Results to Lusha — 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. | Bulk Enrichment Requests Batch lookups that enrich multiple records per request, used to backfill large contact lists rather than one-off calls. | Transaction logs is specific to Google Cloud SQL and Bulk Enrichment Requests to Lusha — each maps to any object or custom field on the other side. |
How changes propagate between Google Cloud SQL and Lusha
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 Lusha 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.
DeliveryLusha does not accept inbound record writes, so this direction carries requests rather than records: Lusha's output flows back as field updates on the originating Google Cloud SQL records.
Lusha Google Cloud SQL Interval-based propagation
DetectionStacksync polls Lusha for changes on an incremental schedule, reading only records changed since the previous pass. Data is fetched on demand per lookup, so syncs poll or trigger enrichment when source records change.
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.
- Lusha: Lookups consume credits and are subject to the platform's API rate limits.
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.
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.
- 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.
Google Cloud SQL
connected
Lusha
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Google Cloud SQL ⇄ LushaCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Google Cloud SQL LushaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Cloud SQL and Lusha integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Google Cloud SQL and Lusha — Lusha is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Common patterns for Google Cloud SQL and Lusha: Read Lusha with a query; Automate Lusha from your codebase; React to changes as they happen. 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.
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Google Cloud SQL: 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. Lusha: REST API. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Lusha: Lusha is a lookup-style enrichment API, not a system of record: integrations send an identifier (such as email, LinkedIn URL, or name plus company) and receive matched contact data back. Google Cloud SQL: Connections use standard wire protocols, so existing drivers and ORMs work without modification. Stacksync's field mapping accounts for these differences between Google Cloud SQL and Lusha without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Google Cloud SQL and Lusha records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud SQL and Lusha connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud SQL–Lusha integration in-house.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 306 integrations available for Google Cloud SQL and Lusha.
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