Real-time
Two-way sync
Changes in Citus or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Citus to Infor M3 integration — real-time, two-way sync
Keep Citus and Infor M3 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
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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Citus and Infor M3
Give your engineers Infor M3's data in Citus: 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 Warehouses, Price Lists, Items, Customers from Infor M3 into Citus 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 Citus sync back into Infor M3 with its validations respected.
Common use cases
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
- 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
Controlled write-back
Choose exactly which tables and fields may flow from Citus back into Infor M3, keeping the ERP authoritative.
Read ERP records with a query
Records from Infor M3 live in Citus 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.
What you can sync between Citus and Infor M3
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.
| Citus objects | Infor M3 objects | |
|---|---|---|
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Customers Customer master records sync with CRM account records to keep one shared customer file. |
What ships with Citus ⇄ Infor M3
Connect Citus and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus or Infor M3 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 Citus or Infor M3 record.
Observability
Monitoring
Track your Citus ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and Infor M3.
How the Citus and Infor M3 connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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
How it works
How to connect Citus to Infor M3 — 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 Citus and Infor M3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Citus
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus and Infor M3 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 · Citus ⇄ Infor M3Customers 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.
Citus Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and Infor M3: authenticate both systems, choose the objects to sync (such as Citus's Distributed tables and Reference tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Infor M3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and Infor M3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Citus side: Sequences, Distributed tables, Reference tables, Local tables, plus custom fields where Citus 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.
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 Citus and Infor M3.
Popular · 8 of 386
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Citus ⇄ Rootstock ERP -
Citus ⇄ Sage 100 - Citus ⇄ Sage 300
- Citus ⇄ Sage Intacct
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Infor M3 ⇄ Dynamo DB -
Infor M3 ⇄ IBM Db2 -
Infor M3 ⇄ Firebase -
Infor M3 ⇄ SingleStore
No integrations match .
