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Database ⇄ ERP

Google Cloud SQL to Sage 300 integration — real-time, two-way sync

Keep Google Cloud SQL and Sage 300 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 Sage 300

Give your engineers Sage 300'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 GL Accounts, Journal Batches, Order Entry Orders, Purchase Orders from Sage 300 into Google Cloud SQL and keeps both sides consistent in real time. Whatever Sage 300 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 Sage 300 with its validations respected.

Common use cases

  • 01 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 03 Sync AR customers, invoices, and balances into a CRM for multi-currency account visibility.
  • 04 Write web and EDI orders into Order Entry and return order status to the source channel.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from Google Cloud SQL back into Sage 300, keeping the ERP authoritative.

Read ERP records with a query

Records from Sage 300 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 Sage 300 interface, limits, and retries.

What you can sync between Google Cloud SQL and Sage 300

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 Sage 300 objects How this pairing syncs
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Order Entry Orders Sales orders written from e-commerce or EDI feeds. Transaction logs is specific to Google Cloud SQL and Order Entry Orders to Sage 300 — 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. Purchase Orders Procurement documents read for spend visibility and receiving. Instances is specific to Google Cloud SQL and Purchase Orders to Sage 300 — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Inventory Items Item master with costing and quantities, synced to storefronts and WMS. Databases is specific to Google Cloud SQL and Inventory Items to Sage 300 — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. Schemas is specific to Google Cloud SQL and AR Invoices and Receipts to Sage 300 — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. AR Customers Receivables customer master synced to CRMs and billing tools. Tables is specific to Google Cloud SQL and AR Customers to Sage 300 — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. AP Vendors Payables vendor master synced with procurement and payment systems. Rows is specific to Google Cloud SQL and AP Vendors to Sage 300 — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Sage 300

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 Sage 300 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 applied to Sage 300 as a row-level write, with types converted between the two schemas.

Sage 300 Google Cloud SQL Interval-based propagation

DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.

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.
What ships with Google Cloud SQL ⇄ Sage 300

Connect Google Cloud SQL and Sage 300 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Sage 300 connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Sage 300 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 Sage 300 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 Sage 300 record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Sage 300 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 Sage 300.

How the Google Cloud SQL and Sage 300 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.

Sage 300

Integration surface
Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
Authentication
Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
Change detection
Scheduled polling; batch-oriented modules with no webhook surface
Capabilities
read · write
How it works

How to connect Google Cloud SQL to Sage 300 — 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 Sage 300 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
    Sage 300 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Sage 300 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 ⇄ Sage 300
    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 Sage 300
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Sage 300 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 438 integrations available for Google Cloud SQL and Sage 300.

Popular · 6 of 438
All Google Cloud SQL integrations All Sage 300 integrations Browse all integrations
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