Two-way sync
Changes in BigQuery or Infor LN instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery 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 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 LN carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Projects, Service orders, Items, Bills of material from Infor LN into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Infor LN where that is useful.
Combine Infor LN's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
Classifications or reference values computed in BigQuery sync back onto the corresponding records in Infor LN.
Financial records land in BigQuery as they change, so period-end reporting queries current numbers rather than last night's extract.
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.
| BigQuery objects | Infor LN objects | |
|---|---|---|
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Items Manufacturing item masters synced to PLM, MES, and commerce systems. | |
| Clustered tables Supported; clustering is transparent to the sync. | Bills of material Product structures shared with engineering and planning tools. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Business partners LN's unified customer/supplier records matched against CRM accounts. | |
| Projects Connection scope: the service account grants access per project. | Sales orders Demand documents synced in from EDI and commerce channels. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Purchase orders Supply documents shared with supplier and procurement systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Infor LN connection.
Changes in BigQuery or Infor LN instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery 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 BigQuery or Infor LN record.
Track your BigQuery ⇄ Infor LN sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery 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 BigQuery 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 BigQuery 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 BigQuery and Infor LN: authenticate both systems, choose the objects to sync (such as BigQuery's Partitioned tables and Clustered tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the BigQuery side: Datasets, Projects, Tables, Partitioned tables, plus custom fields where BigQuery exposes them. On the Infor LN side: Projects, Service orders, Items, Bills of material. 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 BigQuery and Infor LN: Group reporting across systems; Write-back where Infor LN exposes writable fields; Where Infor LN holds the books: finance reporting from live data. Combine Infor LN's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. 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.
BigQuery: Views and materialized views are not supported — only tables. Infor LN: Infor LN descends from Baan ERP and remains focused on discrete manufacturing, with adoption in automotive and industrial supply chains. Stacksync's field mapping accounts for these differences between BigQuery and Infor LN 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 BigQuery and Infor LN.