Two-way sync
Changes in Google Cloud SQL or Infor LN instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL and Infor LN 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, Bills of material, Business partners, Sales orders from Infor LN into Google Cloud SQL and keeps both sides consistent in real time. Whatever Infor LN 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 SQL sync back into Infor LN with its validations respected.
Choose exactly which tables and fields may flow from Google Cloud SQL back into Infor LN, keeping the ERP authoritative.
Records from Infor LN live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Infor LN interface, limits, and retries.
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 SQL objects | Infor LN objects | |
|---|---|---|
| Databases Scope the tables included in a sync configuration. | Business partners LN's unified customer/supplier records matched against CRM accounts. | |
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Sales orders Demand documents synced in from EDI and commerce channels. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | Purchase orders Supply documents shared with supplier and procurement systems. | |
| Rows Read and written by primary key during each sync cycle. | Production orders Shop-floor work orders synced with MES for execution visibility. | |
| Views Read-only sources for shaping data before syncing it out. | Warehouse / inventory Stock positions exposed so external channels reflect real availability. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Projects Project structures used in engineer-to-order manufacturing scenarios. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Infor LN connection.
Changes in Google Cloud SQL or Infor LN instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL or Infor LN 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 SQL or Infor LN record.
Track your Google Cloud SQL ⇄ Infor LN sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Infor LN.
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 SQL and Infor LN 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 SQL and Infor LN 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 SQL and Infor LN: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. On Infor LN: Event-style BOD publications through Infor ION where configured; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud SQL side: Rows, Views, Transaction logs, Instances, plus custom fields where Google Cloud SQL exposes them. On the Infor LN side: Items, Bills of material, Business partners, Sales orders. 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 Google Cloud SQL and Infor LN: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Google Cloud SQL back into Infor LN, keeping the ERP authoritative.
Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Infor LN: SOAP and REST web services, with standardized BOD exchange through Infor ION in Infor OS deployments. Authentication: OAuth 2.0 via the ION API gateway in cloud deployments; application credentials on premises. Stacksync manages authentication, retries, and rate limits on both sides.
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 Google Cloud SQL and Infor LN.