Real-time
Two-way sync
Changes in Google Cloud SQL or Snapfulfil instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Google Cloud SQL to Snapfulfil integration — real-time, two-way sync
Keep Google Cloud SQL and Snapfulfil 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Google Cloud SQL and Snapfulfil
Give your engineers Snapfulfil'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 Returns, Sales orders, Purchase orders / ASNs, Items (SKUs) from Snapfulfil into Google Cloud SQL and keeps both sides consistent in real time. Whatever Snapfulfil 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 Snapfulfil 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 the item master from the ERP so new SKUs are receivable in the warehouse immediately
- 04 Mirror fulfillment activity into a database for operational reporting outside the WMS
Common sync patterns
Where Snapfulfil is the HR system of record: people data for internal systems
Worker and org records stay current in Google Cloud SQL for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Google Cloud SQL back into Snapfulfil, keeping the ERP authoritative.
Read ERP records with a query
Records from Snapfulfil live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Google Cloud SQL and Snapfulfil
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 | Snapfulfil objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only sources for shaping data before syncing it out. | Items (SKUs) The item master, usually sourced from the ERP or storefront. | Views is specific to Google Cloud SQL and Items (SKUs) to Snapfulfil — 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. | Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate. | Transaction logs is specific to Google Cloud SQL and Inventory balances to Snapfulfil — 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. | Shipments Dispatch confirmations with carrier and tracking details returned to the order source. | Instances is specific to Google Cloud SQL and Shipments to Snapfulfil — each maps to any object or custom field on the other side. | |
| Databases Scope the tables included in a sync configuration. | Warehouse locations Bin and zone structure referenced by stock and movement records. | Databases is specific to Google Cloud SQL and Warehouse locations to Snapfulfil — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Returns Inbound customer returns processed back into stock or quarantine. | Schemas is specific to Google Cloud SQL and Returns to Snapfulfil — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | Sales orders Orders pushed into the WMS for picking, packing, and dispatch. | Tables is specific to Google Cloud SQL and Sales orders to Snapfulfil — each maps to any object or custom field on the other side. |
How changes propagate between Google Cloud SQL and Snapfulfil
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 Snapfulfil 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 Snapfulfil through its API, with automatic retries and rate-limit backoff.
Snapfulfil Google Cloud SQL Interval-based propagation
DetectionStacksync polls Snapfulfil for changes on an incremental schedule, reading only records changed since the previous pass. Polling, subject to the platform's API rate limits.
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.
- Snapfulfil: Specific quotas are not publicly standardized; treat throughput as instance-dependent.
What ships with Google Cloud SQL ⇄ Snapfulfil
Connect Google Cloud SQL and Snapfulfil for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Snapfulfil connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google Cloud SQL or Snapfulfil 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 Snapfulfil record.
Observability
Monitoring
Track your Google Cloud SQL ⇄ Snapfulfil 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 Snapfulfil.
How the Google Cloud SQL and Snapfulfil 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.
Snapfulfil
- Integration surface
- REST-style web service API
- Authentication
- API credentials issued for the warehouse instance
- Change detection
- Polling, subject to the platform's API rate limits
- Capabilities
- read · write
- Rate limits
- Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works
How to connect Google Cloud SQL to Snapfulfil — 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 Snapfulfil 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
Snapfulfil
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google Cloud SQL and Snapfulfil 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 ⇄ SnapfulfilCustomers 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 SnapfulfilCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Cloud SQL and Snapfulfil integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud SQL and Snapfulfil: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Views and Transaction logs), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Snapfulfil: REST-style web service API. Authentication: API credentials issued for the warehouse instance. Stacksync manages authentication, retries, and rate limits on both sides.
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Google Cloud SQL: Connections use standard wire protocols, so existing drivers and ORMs work without modification. Snapfulfil: Snapfulfil is a cloud WMS operated by Synergy Logistics, delivered as a hosted service rather than on-premise software. Stacksync's field mapping accounts for these differences between Google Cloud SQL and Snapfulfil 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 Snapfulfil 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 Snapfulfil connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud SQL–Snapfulfil integration in-house.
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Yes — Stacksync ships production-grade connectors for both Google Cloud SQL and Snapfulfil. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
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