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Business productivity ⇄ Database

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

Keep BetterContact and Google Cloud SQL 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 BetterContact and Google Cloud SQL

Mirror BetterContact'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.

BetterContact 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 BetterContact — without exports, scripts, or schedulers.

Engineers integrate with tools like BetterContact 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 Lead Finder Search, Enrichment Request, Enriched Contact, Company from BetterContact 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 BetterContact, so the tool and the database never disagree.

Common use cases

  • 01 Validate catch-all email addresses before sending to protect sender domain reputation.
  • 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
  • 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 BetterContact with a query

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

Automate BetterContact from your codebase

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

React to changes as they happen

Updates in BetterContact arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.

What you can sync between BetterContact and Google Cloud SQL

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.

BetterContact objects Google Cloud SQL objects How this pairing syncs
Company Company data returned with each contact: name, domain, HQ location, industry, employee count. Rows Read and written by primary key during each sync cycle. Company is specific to BetterContact and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. Views Read-only sources for shaping data before syncing it out. Lead Finder Search is specific to BetterContact and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Enrichment Request is specific to BetterContact and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.
Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Enriched Contact is specific to BetterContact and Instances to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between BetterContact and Google Cloud SQL

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.

BetterContact Google Cloud SQL Sub-second propagation

DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.

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

Google Cloud SQL BetterContact 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.

DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Google Cloud SQL records.

Rate-limit considerations

  • BetterContact: Batches capped at 100 contacts per enrichment request.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with BetterContact ⇄ Google Cloud SQL

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

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

Real-time

Real-time sync

Changes in BetterContact or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BetterContact or Google Cloud SQL 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 BetterContact or Google Cloud SQL record.

Observability

Monitoring

Track your BetterContact ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BetterContact and Google Cloud SQL.

How the BetterContact and Google Cloud SQL connectors work

BetterContact

Integration surface
Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
Authentication
API key
Change detection
Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
Capabilities
read · webhooks
Rate limits
Batches capped at 100 contacts per enrichment request.

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.
How it works

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

    Choose tables

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

BetterContact and Google Cloud SQL 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
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 390 integrations available for BetterContact and Google Cloud SQL.

Popular · 8 of 390
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