Real-time
Two-way sync
Changes in Infor M3 or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Infor M3 to Render Postgres integration — real-time, two-way sync
Keep Infor M3 and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Infor M3 and Render Postgres
Give your engineers Infor M3's data in Render Postgres: read it with normal queries, write back through the sync, and skip the ERP API entirely.
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 Purchase Orders, Manufacturing Orders, Inventory Balances, Invoices from Infor M3 into Render Postgres 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 Render Postgres sync back into Infor M3 with its validations respected.
Common use cases
- 01 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
- 02 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
- 03 Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
- 04 Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains
Common sync patterns
React to ERP changes
Updates in Infor M3 arrive as row changes in Render Postgres, so jobs and triggers can respond as the business record changes.
Where Infor M3 is the HR system of record: people data for internal systems
Worker and org records stay current in Render Postgres for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Render Postgres back into Infor M3, keeping the ERP authoritative.
What you can sync between Infor M3 and Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Customers is specific to Infor M3 and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Suppliers is specific to Infor M3 and Views to Render Postgres — 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Customer Orders is specific to Infor M3 and Materialized Views to Render Postgres — 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. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Purchase Orders is specific to Infor M3 and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Manufacturing Orders is specific to Infor M3 and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Inventory Balances is specific to Infor M3 and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Infor M3 and Render Postgres
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.
Infor M3 Render Postgres Sub-second propagation
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 Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Infor M3 Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor M3: Subject to Infor ION API gateway throttling policies.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Infor M3 ⇄ Render Postgres
Connect Infor M3 and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Render Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Infor M3 or Render Postgres record.
Observability
Monitoring
Track your Infor M3 ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Infor M3 and Render Postgres.
How the Infor M3 and Render Postgres connectors work
Infor M3
- Integration surface
- REST API (M3 API programs exposed through the Infor ION API gateway)
- Authentication
- OAuth 2.0 via Infor OS / ION API authorization
- Change detection
- Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to Infor ION API gateway throttling policies
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Infor M3 to Render Postgres — three steps, no code
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.
- 01
Connect your apps
Authenticate Infor M3 and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Infor M3
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Render Postgres 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.
objects · Infor M3 ⇄ Render PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Infor M3 Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Render Postgres: authenticate both systems, choose the objects to sync (such as Infor M3's Customers and Suppliers), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
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Render Postgres: Render Postgres is standard PostgreSQL — anything that speaks the Postgres protocol works unchanged, including logical replication clients. Infor M3: Most M3 records are scoped by a company, division, facility, and warehouse hierarchy, which integration mappings need to carry explicitly. Stacksync's field mapping accounts for these differences between Infor M3 and Render Postgres without custom code.
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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 Infor M3 and Render Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Infor M3 and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–Render Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Infor M3 and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 415 integrations available for Infor M3 and Render Postgres.
Popular · 7 of 415
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Infor M3 ⇄ MongoDB -
Infor M3 ⇄ CockroachDB -
Infor M3 ⇄ Google AlloyDB -
Infor M3 ⇄ Dynamo DB -
Render Postgres ⇄ QAD ERP -
Render Postgres ⇄ Sage 100 - Render Postgres ⇄ Sage 300
No integrations match .
