Real-time
Two-way sync
Changes in Deposco or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
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ERP ⇄ Database
Deposco to Google Cloud SQL integration — real-time, two-way sync
Keep Deposco 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.
- 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
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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 Deposco and Google Cloud SQL
Give your engineers Deposco'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 Shipments, Purchase orders / ASNs, Receipts, Warehouses / Locations from Deposco into Google Cloud SQL and keeps both sides consistent in real time. Whatever Deposco 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 Deposco with its validations respected.
Common use cases
- Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
- Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
- Land fulfillment and shipment data in a warehouse for SLA, carrier, and throughput reporting.
- Sync order status and shipment tracking from Deposco back to a CRM or customer portal so support sees fulfillment state.
Where Deposco 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 Deposco, keeping the ERP authoritative.
Read ERP records with a query
Records from Deposco live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Deposco 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.
| Deposco objects | Google Cloud SQL objects | |
|---|---|---|
| Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | Views Read-only sources for shaping data before syncing it out. | |
| Shipments Outbound shipment and tracking records synced back to order-origin systems. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | |
| Purchase orders / ASNs Inbound expectations used to plan receiving. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | |
| Receipts Confirmation of received inventory that updates stock positions. | Databases Scope the tables included in a sync configuration. | |
| Warehouses / Locations Facility and bin structures that scope inventory records. | Schemas Namespace tables in PostgreSQL and SQL Server instances. | |
| Customers Ship-to parties referenced on orders and shipments. | Tables Mapped directly to sync targets; schema changes can be propagated. |
What ships with Deposco ⇄ Google Cloud SQL
Connect Deposco and Google Cloud SQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Deposco–Google Cloud SQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Deposco 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 Deposco or Google Cloud SQL record.
Observability
Monitoring
Track your Deposco ⇄ 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 Deposco and Google Cloud SQL.
How the Deposco and Google Cloud SQL connectors work
Deposco
- Integration surface
- REST API plus file-based interfaces (EDI and flat file) common to WMS integrations
- Authentication
- API credentials issued per integration (API key or basic authentication)
- Change detection
- Polling on order and inventory endpoints, subject to the platform's integration patterns
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits
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 Deposco 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.
- 01
Connect your apps
Authenticate Deposco 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.
Deposco
connected
Google Cloud SQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Deposco 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.
objects · Deposco ⇄ Google Cloud SQLCustomers 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.
Deposco Google Cloud SQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Deposco and Google Cloud SQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Deposco and Google Cloud SQL: authenticate both systems, choose the objects to sync (such as Deposco's Sales orders and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Deposco and Google Cloud SQL: Where Deposco is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Google Cloud SQL for provisioning, access, and reporting systems that read from the database.
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Deposco: REST API plus file-based interfaces (EDI and flat file) common to WMS integrations. Authentication: API credentials issued per integration (API key or basic authentication). 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. 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. Deposco: Deposco's Bright Suite combines warehouse management, order management, and fulfillment in one platform, so order, inventory, and shipment data share a single system of record. Stacksync's field mapping accounts for these differences between Deposco and Google Cloud SQL 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 Deposco and Google Cloud SQL records are not retained after a sync operation.
SECURITY
Security teams love 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
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Deposco and Google Cloud SQL.
Popular · 8 of 386
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Deposco ⇄ Amazon RDS -
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