Real-time
Two-way sync
Changes in Dremio or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Dremio to Infor M3 integration — real-time, two-way sync
Keep Dremio 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and Infor M3
Put Infor M3's records in Dremio as live tables for reporting and analysis, without extract jobs, and write results back where Infor M3 can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Infor M3 carries financials, operations, workforce data, or all three, the analysis belongs in Dremio next to everything else the company measures.
Stacksync syncs Customer Orders, Purchase Orders, Manufacturing Orders, Inventory Balances from Infor M3 into tables in Dremio continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Dremio can be written back to fields in Infor M3 where that is useful.
Common use cases
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- 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
Where Infor M3 is the HR system of record: workforce analytics
Worker and organization data syncs into Dremio for headcount, cost, and planning analysis alongside other company data.
Where Infor M3 runs operations: order and supply analysis
Operational records become queryable tables in Dremio, joinable with sales and finance data.
Group reporting across systems
Combine Infor M3's records with data synced from other systems in Dremio for consolidated views no single system can produce.
What you can sync between Dremio 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.
| Dremio objects | Infor M3 objects | |
|---|---|---|
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Suppliers Supplier records align procurement tools with the vendors M3 purchases from. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | |
| Jobs Query execution records useful for monitoring sync workloads. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Invoices Billing documents flow to finance and CRM tools for AR visibility. |
What ships with Dremio ⇄ Infor M3
Connect Dremio and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Infor M3 record.
Observability
Monitoring
Track your Dremio ⇄ 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 Dremio and Infor M3.
How the Dremio and Infor M3 connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Infor M3: authenticate both systems, choose the objects to sync (such as Dremio's Apache Iceberg tables and Spaces and folders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Dremio and Infor M3: Where Infor M3 is the HR system of record: workforce analytics; Where Infor M3 runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Dremio for headcount, cost, and planning analysis alongside other company data.
-
Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. 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.
-
Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. Infor M3: Infor ION can publish standard Business Object Documents (for example sales orders and item master changes) as events for downstream consumers, giving an event-based alternative to polling once configured in ION. Stacksync's field mapping accounts for these differences between Dremio and Infor M3 without custom code.
-
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 Dremio and Infor M3 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 Dremio and Infor M3.
Popular · 8 of 386
-
Dremio ⇄ Acumatica -
Dremio ⇄ SAP S/4HANA -
Dremio ⇄ Odoo -
Dremio ⇄ Blue Yonder WMS -
Infor M3 ⇄ Amazon Redshift -
Infor M3 ⇄ Apache Doris -
Infor M3 ⇄ Apache Druid -
Infor M3 ⇄ Apache Hive
No integrations match .
