Two-way sync
Changes in Deposco or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep Deposco and Google Cloud Spanner in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Items / SKUs, Inventory, Sales orders, Shipments from Deposco into Google Cloud Spanner 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 Spanner sync back into Deposco with its validations respected.
Updates in Deposco arrive as row changes in Google Cloud Spanner, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Google Cloud Spanner for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Google Cloud Spanner back into Deposco, keeping the ERP authoritative.
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 Spanner objects | How this pairing syncs | |
|---|---|---|---|
| Warehouses / Locations Facility and bin structures that scope inventory records. | Databases Top-level containers that scope schema and sync configuration. | Warehouses / Locations is specific to Deposco and Databases to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Customers Ship-to parties referenced on orders and shipments. | Tables Relational tables mapped one-to-one to sync targets. | Customers is specific to Deposco and Tables to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Items / SKUs Product master records that fulfillment operations pick and ship against. | Rows The unit of read and write in each sync cycle, keyed by primary key. | Items / SKUs is specific to Deposco and Rows to Google Cloud Spanner — 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. | Interleaved tables Child rows physically co-located with parents; synced as related records. | Inventory is specific to Deposco and Interleaved tables to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | Sales orders is specific to Deposco and Secondary indexes to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Shipments Outbound shipment and tracking records synced back to order-origin systems. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | Shipments is specific to Deposco and Change streams to Google Cloud Spanner — each maps to any object or custom field on the other side. |
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.
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 Spanner as a row-level write, with types converted between the two schemas.
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
DeliveryEach detected change is written to Deposco through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Deposco–Google Cloud Spanner connection.
Changes in Deposco or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Deposco or Google Cloud Spanner data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Deposco or Google Cloud Spanner record.
Track your Deposco ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Deposco and Google Cloud Spanner.
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.
Authenticate Deposco and Google Cloud Spanner with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Deposco and Google Cloud Spanner 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Deposco and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Deposco's Warehouses / Locations and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Spanner records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Deposco and Google Cloud Spanner connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Deposco–Google Cloud Spanner integration in-house.
Yes — Stacksync ships production-grade connectors for both Deposco and Google Cloud Spanner. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. On Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Spanner side: Secondary indexes, Change streams, Views, Databases, plus custom fields where Google Cloud Spanner exposes them. On the Deposco side: Items / SKUs, Inventory, Sales orders, Shipments. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 220 integrations available for Deposco and Google Cloud Spanner.