Skip to content
Database ⇄ ERP

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

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

Give your engineers QAD ERP's data in Google Cloud SQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors General ledger transactions, Items, Customers, Suppliers from QAD ERP into Google Cloud SQL and keeps both sides consistent in real time. Whatever QAD ERP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Google Cloud SQL sync back into QAD ERP with its validations respected.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Push EDI orders from trading partners into QAD as sales orders.
  • 04 Keep supplier and purchase-order records aligned with procurement or AP automation tools.

Common sync patterns

Read ERP records with a query

Records from QAD ERP live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the QAD ERP interface, limits, and retries.

React to ERP changes

Updates in QAD ERP arrive as row changes in Google Cloud SQL, so jobs and triggers can respond as the business record changes.

What you can sync between Google Cloud SQL and QAD ERP

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 QAD ERP objects How this pairing syncs
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Purchase orders Procurement documents mirrored to planning and finance systems Transaction logs is specific to Google Cloud SQL and Purchase orders to QAD ERP — 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. Work orders Production records replicated for scheduling and shop-floor analytics Instances is specific to Google Cloud SQL and Work orders to QAD ERP — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Inventory balances Stock levels by site and location, synced for multi-plant visibility Databases is specific to Google Cloud SQL and Inventory balances to QAD ERP — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. General ledger transactions Financial postings exported for consolidated reporting Schemas is specific to Google Cloud SQL and General ledger transactions to QAD ERP — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Items Item master records shared with CRM, e-commerce, and planning systems Tables is specific to Google Cloud SQL and Items to QAD ERP — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Customers Account records kept consistent with the sales team's CRM Rows is specific to Google Cloud SQL and Customers to QAD ERP — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and QAD ERP

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 QAD ERP 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 QAD ERP through its API, with automatic retries and rate-limit backoff.

QAD ERP Google Cloud SQL Interval-based propagation

DetectionStacksync polls QAD ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the API surface.

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.
  • QAD ERP: Subject to instance capacity and the platform's API limits.
What ships with Google Cloud SQL ⇄ QAD ERP

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL or QAD ERP 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 QAD ERP 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 QAD ERP record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ QAD ERP 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 QAD ERP.

How the Google Cloud SQL and QAD ERP 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.

QAD ERP

Integration surface
REST APIs plus the QXtend XML integration framework
Authentication
instance credentials; specifics depend on the deployment and version
Change detection
polling on the API surface; document-based event exchange available through QXtend in supported configurations
Capabilities
read · write
Rate limits
subject to instance capacity and the platform's API limits
How it works

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

    Choose tables

    Pick the Google Cloud SQL and QAD ERP 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 ⇄ QAD ERP
    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 QAD ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Google Cloud SQL and QAD ERP 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 434 integrations available for Google Cloud SQL and QAD ERP.

Popular · 6 of 434
All Google Cloud SQL integrations All QAD ERP integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own