Two-way sync
Changes in DEAR Inventory or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep DEAR Inventory 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 Sale orders, Purchase orders, Customers, Suppliers from DEAR Inventory into Google Cloud Spanner and keeps both sides consistent in real time. Whatever DEAR Inventory 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 DEAR Inventory with its validations respected.
Records from DEAR Inventory live in Google Cloud Spanner as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the DEAR Inventory interface, limits, and retries.
Updates in DEAR Inventory arrive as row changes in Google Cloud Spanner, so jobs and triggers can respond as the business record changes.
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.
| DEAR Inventory objects | Google Cloud Spanner objects | |
|---|---|---|
| Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | |
| Locations Warehouses and bins that scope stock levels and fulfillment. | Views Read-only projections useful for shaping data before it leaves Spanner. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Databases Top-level containers that scope schema and sync configuration. | |
| Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Tables Relational tables mapped one-to-one to sync targets. | |
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Rows The unit of read and write in each sync cycle, keyed by primary key. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Interleaved tables Child rows physically co-located with parents; synced as related records. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Google Cloud Spanner connection.
Changes in DEAR Inventory or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DEAR Inventory 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 DEAR Inventory or Google Cloud Spanner record.
Track your DEAR Inventory ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Assemblies / Production and Locations), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both DEAR Inventory 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 DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. 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: Rows, Interleaved tables, Secondary indexes, Change streams, plus custom fields where Google Cloud Spanner exposes them. On the DEAR Inventory side: Sale orders, Purchase orders, Customers, Suppliers. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for DEAR Inventory and Google Cloud Spanner: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from DEAR Inventory live in Google Cloud Spanner as ordinary tables or collections, joinable with the rest of your data.
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 386 integrations available for DEAR Inventory and Google Cloud Spanner.