Real-time
Two-way sync
Changes in Deposco or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
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ERP ⇄ Data warehouse
Deposco to Google Cloud Platform integration — real-time, two-way sync
Keep Deposco and Google Cloud Platform 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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Why teams connect Deposco and Google Cloud Platform
Put Deposco's records in Google Cloud Platform as live tables for reporting and analysis, without extract jobs, and write results back where Deposco can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Deposco carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Sales orders, Shipments, Purchase orders / ASNs, Receipts from Deposco into tables in Google Cloud Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Google Cloud Platform can be written back to fields in Deposco where that is useful.
Common use cases
- 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
- 02 Sync order status and shipment tracking from Deposco back to a CRM or customer portal so support sees fulfillment state.
- 03 Push sales orders from an ERP or e-commerce platform into Deposco for warehouse fulfillment.
Common sync patterns
Group reporting across systems
Combine Deposco's records with data synced from other systems in Google Cloud Platform for consolidated views no single system can produce.
Write-back where Deposco exposes writable fields
Classifications or reference values computed in Google Cloud Platform sync back onto the corresponding records in Deposco.
Where Deposco holds the books: finance reporting from live data
Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
What you can sync between Deposco and Google Cloud Platform
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 Platform objects | How this pairing syncs | |
|---|---|---|---|
| Purchase orders / ASNs Inbound expectations used to plan receiving. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Purchase orders / ASNs is specific to Deposco and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side. | |
| Receipts Confirmation of received inventory that updates stock positions. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Receipts is specific to Deposco and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side. | |
| Warehouses / Locations Facility and bin structures that scope inventory records. | Pub/Sub topics Event streams used to move change events between systems in near real time. | Warehouses / Locations is specific to Deposco and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side. | |
| Customers Ship-to parties referenced on orders and shipments. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Customers is specific to Deposco and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side. | |
| Items / SKUs Product master records that fulfillment operations pick and ship against. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Items / SKUs is specific to Deposco and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side. | |
| Inventory On-hand and available quantities by warehouse and location, read frequently by storefront syncs. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Inventory is specific to Deposco and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side. |
How changes propagate between Deposco and Google Cloud Platform
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.
Deposco Google Cloud Platform Interval-based propagation
DetectionStacksync polls Deposco for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and inventory endpoints, subject to the platform's integration patterns.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Google Cloud Platform Deposco Sub-second propagation
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is written to Deposco through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Deposco: Subject to the platform's API rate limits.
- Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Deposco ⇄ Google Cloud Platform
Connect Deposco and Google Cloud Platform for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Deposco–Google Cloud Platform connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Deposco or Google Cloud Platform 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 Platform record.
Observability
Monitoring
Track your Deposco ⇄ Google Cloud Platform 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 Platform.
How the Deposco and Google Cloud Platform 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 Platform
- Integration surface
- Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
- Authentication
- IAM service accounts with OAuth 2.0 tokens
- Change detection
- Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works
How to connect Deposco to Google Cloud Platform — 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 Platform 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 Platform
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Deposco and Google Cloud Platform 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 PlatformCustomers 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 PlatformCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Deposco and Google Cloud Platform integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Deposco and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Deposco's Purchase orders / ASNs and Receipts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Platform 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 Deposco and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Deposco–Google Cloud Platform integration in-house.
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Yes — Stacksync ships production-grade connectors for both Deposco and Google Cloud Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. On Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Google Cloud Platform side: Spanner tables, BigQuery datasets, BigQuery tables, Cloud SQL databases, plus custom fields where Google Cloud Platform exposes them. On the Deposco side: Sales orders, Shipments, Purchase orders / ASNs, Receipts. Stacksync auto-detects both schemas and converts types between the two systems.
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:
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