Real-time
Two-way sync
Changes in DuckDB or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
DuckDB to Infor M3 integration — real-time, two-way sync
Keep DuckDB 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 Fivetran
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Migrated from Celigo
Why teams connect DuckDB and Infor M3
Give your engineers Infor M3's data in DuckDB: 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 Manufacturing Orders, Inventory Balances, Invoices, Warehouses from Infor M3 into DuckDB 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 DuckDB sync back into Infor M3 with its validations respected.
Common use cases
- Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
- Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
- Push orders captured in a CRM into M3 as customer orders without manual re-entry
React to ERP changes
Updates in Infor M3 arrive as row changes in DuckDB, 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 DuckDB for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from DuckDB back into Infor M3, keeping the ERP authoritative.
What you can sync between DuckDB 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.
| DuckDB objects | Infor M3 objects | |
|---|---|---|
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Views SQL views used to shape or filter data for downstream consumers. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. |
What ships with DuckDB ⇄ Infor M3
Connect DuckDB and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB 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 DuckDB or Infor M3 record.
Observability
Monitoring
Track your DuckDB ⇄ 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 DuckDB and Infor M3.
How the DuckDB and Infor M3 connectors work
DuckDB
- Integration surface
- In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
- Authentication
- None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
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 DuckDB 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 DuckDB 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.
DuckDB
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB 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 · DuckDB ⇄ 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.
DuckDB Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and Infor M3: authenticate both systems, choose the objects to sync (such as DuckDB's Attached databases and Database files), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the DuckDB side: Tables, Views, External files (Parquet/CSV/JSON), Attached databases, plus custom fields where DuckDB exposes them. On the Infor M3 side: Manufacturing Orders, Inventory Balances, Invoices, Warehouses. Stacksync auto-detects both schemas and converts types between the two systems.
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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 DuckDB and Infor M3: React to ERP changes; Where Infor M3 is the HR system of record: people data for internal systems; Controlled write-back. Updates in Infor M3 arrive as row changes in DuckDB, so jobs and triggers can respond as the business record changes.
-
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Stacksync manages authentication, retries, and rate limits on both sides.
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DuckDB: Concurrency is single-writer: one process holds write access to a database file at a time, which shapes how sync jobs schedule writes. 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 DuckDB and Infor M3 without custom code.
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 DuckDB and Infor M3.
Popular · 8 of 386
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DuckDB ⇄ SAP Business ByDesign -
DuckDB ⇄ SAP Business One -
DuckDB ⇄ Oracle Fusion ERP -
DuckDB ⇄ Acumatica -
Infor M3 ⇄ MongoDB -
Infor M3 ⇄ CockroachDB -
Infor M3 ⇄ Google AlloyDB -
Infor M3 ⇄ Dynamo DB
No integrations match .
