Real-time
Two-way sync
Changes in Infor M3 or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Infor M3 to Postgres Heroku integration — real-time, two-way sync
Keep Infor M3 and Postgres Heroku 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
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
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Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Infor M3 and Postgres Heroku
Give your engineers Infor M3's data in Postgres Heroku: 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 Customers, Suppliers, Customer Orders, Purchase Orders from Infor M3 into Postgres Heroku 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 Postgres Heroku sync back into Infor M3 with its validations respected.
Common use cases
- Reflect billing and subscription records into the app database so product logic reads local rows
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Push orders captured in a CRM into M3 as customer orders without manual re-entry
- Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
Read ERP records with a query
Records from Infor M3 live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Infor M3 interface, limits, and retries.
React to ERP changes
Updates in Infor M3 arrive as row changes in Postgres Heroku, so jobs and triggers can respond as the business record changes.
What you can sync between Infor M3 and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Customers Customer master records sync with CRM account records to keep one shared customer file. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| 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 for app data. | |
| 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. | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Materialized Views Precomputed result sets synced outward on refresh. |
What ships with Infor M3 ⇄ Postgres Heroku
Connect Infor M3 and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Infor M3 ⇄ Postgres Heroku 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 Postgres Heroku.
How the Infor M3 and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Infor M3 to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Infor M3's Items and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Infor M3 and Postgres Heroku: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Infor M3 live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.
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Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Infor M3: M3 business logic is exposed through M3 API programs (MI programs), which Infor publishes as REST endpoints through the ION API gateway rather than as a single flat resource model. Stacksync's field mapping accounts for these differences between Infor M3 and Postgres Heroku 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 Postgres Heroku records are not retained after a sync operation.
SECURITY
Security teams love 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 386 integrations available for Infor M3 and Postgres Heroku.
Popular · 8 of 386
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Infor M3 ⇄ MySQL -
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Postgres Heroku ⇄ Sage 300 - Postgres Heroku ⇄ Sage Intacct
- Postgres Heroku ⇄ Sage X3
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Postgres Heroku ⇄ SAP
No integrations match .
