Two-way sync
Changes in DEAR Inventory or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep DEAR Inventory 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.
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 DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Stock levels, Sale orders, Purchase orders, Customers from DEAR Inventory 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 DEAR Inventory where that is useful.
Classifications or reference values computed in Google Cloud Platform sync back onto the corresponding records in DEAR Inventory.
Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Google Cloud Platform for headcount, cost, and planning analysis alongside other company data.
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 Platform objects | |
|---|---|---|
| Customers Buyer records aligned with CRM and accounting counterparts. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Suppliers Vendor records referenced on purchase orders. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | |
| Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | |
| Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| Locations Warehouses and bins that scope stock levels and fulfillment. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Google Cloud Platform connection.
Changes in DEAR Inventory or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DEAR Inventory or Google Cloud Platform 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 Platform record.
Track your DEAR Inventory ⇄ Google Cloud Platform 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 Platform.
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 Platform 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 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.
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 Platform: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Customers and Suppliers), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud Platform side: Pub/Sub topics, Firestore documents, Spanner tables, BigQuery datasets, plus custom fields where Google Cloud Platform exposes them. On the DEAR Inventory side: Stock levels, Sale orders, Purchase orders, Customers. 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 Platform: Write-back where DEAR Inventory exposes writable fields; Where DEAR Inventory holds the books: finance reporting from live data; Where DEAR Inventory is the HR system of record: workforce analytics. Classifications or reference values computed in Google Cloud Platform sync back onto the corresponding records in DEAR Inventory.
DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Google Cloud Platform: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between DEAR Inventory and Google Cloud Platform without custom code.
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 Platform.