Two-way sync
Changes in Infor M3 or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Infor M3 and Supabase 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 Warehouses, Price Lists, Items, Customers from Infor M3 into Supabase and keeps both sides consistent in real time. Whatever Infor M3 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Supabase sync back into Infor M3 with its validations respected.
Choose exactly which tables and fields may flow from Supabase back into Infor M3, keeping the ERP authoritative.
Records from Infor M3 live in Supabase 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 M3 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.
| Infor M3 objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Price Lists is specific to Infor M3 and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Items is specific to Infor M3 and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Database Functions Postgres functions that can transform or validate synced rows. | Customers is specific to Infor M3 and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Suppliers is specific to Infor M3 and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Tables Standard Postgres tables; the primary two-way sync target. | Customer Orders is specific to Infor M3 and Tables to Supabase — each maps to any object or custom field on the other side. | |
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Views Read-side projections exposed to outbound syncs. | Purchase Orders is specific to Infor M3 and Views to Supabase — 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.
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 Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Supabase connection.
Changes in Infor M3 or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Infor M3 or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Infor M3 or Supabase record.
Track your Infor M3 ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Infor M3 and Supabase.
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 Infor M3 and Supabase 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 Infor M3 and Supabase 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 Infor M3 and Supabase: authenticate both systems, choose the objects to sync (such as Infor M3's Price Lists and Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Infor M3 and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Supabase side: Views, Schemas, auth.users, Row Level Security Policies, plus custom fields where Supabase exposes them. On the Infor M3 side: Warehouses, Price Lists, Items, 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 Infor M3 and Supabase: 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 Supabase back into Infor M3, keeping the ERP authoritative.
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 539 integrations available for Infor M3 and Supabase.