Two-way sync
Changes in Google Cloud Platform or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Infor M3 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 Infor M3 carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Warehouses, Price Lists, Items, Customers from Infor M3 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 Infor M3 where that is useful.
Classifications or reference values computed in Google Cloud Platform sync back onto the corresponding records in Infor M3.
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.
| Google Cloud Platform objects | Infor M3 objects | How this pairing syncs | |
|---|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | BigQuery datasets is specific to Google Cloud Platform and Suppliers to Infor M3 — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | BigQuery tables is specific to Google Cloud Platform and Customer Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Cloud SQL databases is specific to Google Cloud Platform and Purchase Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Cloud Storage objects is specific to Google Cloud Platform and Manufacturing Orders to Infor M3 — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Pub/Sub topics is specific to Google Cloud Platform and Inventory Balances to Infor M3 — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | Firestore documents is specific to Google Cloud Platform and Invoices to Infor M3 — 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.
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 Infor M3 through its API, with automatic retries and rate-limit backoff.
DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Infor M3 connection.
Changes in Google Cloud Platform or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Infor M3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Infor M3 record.
Track your Google Cloud Platform ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Infor M3.
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 Google Cloud Platform and Infor M3 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 Google Cloud Platform and Infor M3 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 Google Cloud Platform and Infor M3: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Infor M3: Infor ION can publish standard Business Object Documents (for example sales orders and item master changes) as events for downstream consumers, giving an event-based alternative to polling once configured in ION. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Infor M3 without custom code.
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 Google Cloud Platform and Infor M3 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Infor M3 integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Infor M3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 538 integrations available for Google Cloud Platform and Infor M3.