Real-time
Real-time sync
Changes in Apache Kylin or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Apache Kylin to Infor M3 integration — real-time data sync
Keep Apache Kylin 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 Apache Kylin and Infor M3
Put Infor M3's records in Apache Kylin as live tables for reporting and analysis, without extract jobs, and write results back where Infor M3 can use them.
Apache Kylin is a read-only source: Stacksync reads its data in real time and delivers it into Infor M3, so Infor M3 always reflects the current state of Apache Kylin — without exports, scripts, or schedulers.
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 Apache Kylin next to everything else the company measures.
Common use cases
- Expose Kylin query results to operational dashboards without granting access to the underlying Hadoop data.
- Sync Kylin aggregates into a cloud warehouse to combine them with data Kylin does not cover.
- 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
Where Infor M3 holds the books: finance reporting from live data
Financial records land in Apache Kylin as they change, so period-end reporting queries current numbers rather than last night's extract.
Where Infor M3 is the HR system of record: workforce analytics
Worker and organization data syncs into Apache Kylin 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 Apache Kylin, joinable with sales and finance data.
What you can sync between Apache Kylin 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.
| Apache Kylin objects | Infor M3 objects | |
|---|---|---|
| Segments Time-ranged build units that partition pre-computed data. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Build Jobs Batch jobs that compute or refresh segments, monitored via the REST API. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Projects Top-level workspaces that group models, tables, and jobs. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Models Star-schema definitions over source tables that determine what can be queried. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | |
| Cubes / Indexes Pre-computed aggregate structures that answer queries at low latency. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. | |
| Source Tables Hive or other upstream tables that builds read from. | Customers Customer master records sync with CRM account records to keep one shared customer file. |
What ships with Apache Kylin ⇄ Infor M3
Connect Apache Kylin and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Kylin–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Kylin 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 Apache Kylin or Infor M3 record.
Observability
Monitoring
Track your Apache Kylin ⇄ 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 Apache Kylin and Infor M3.
How the Apache Kylin and Infor M3 connectors work
Apache Kylin
- Integration surface
- SQL over JDBC/ODBC plus a REST API for queries and administration
- Authentication
- Username/password (HTTP basic authentication on the REST API)
- Change detection
- Not applicable for row-level capture; data freshness follows segment build and refresh jobs, so integrations poll query results
- Capabilities
- read
- Rate limits
- No fixed API quotas; query capacity depends on the deployment and pre-computed index coverage
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 Apache Kylin 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 Apache Kylin 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.
Apache Kylin
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Kylin 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 · Apache Kylin ⇄ 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.
Apache Kylin Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Kylin and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Apache Kylin and Infor M3 — Apache Kylin is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
-
Apache Kylin is a read-only source, so this integration runs one-way: Stacksync reads from Apache Kylin in real time and delivers into Infor M3. Field mapping and monitoring work the same as for two-way pairs.
-
Common patterns for Apache Kylin and Infor M3: Where Infor M3 holds the books: finance reporting from live data; Where Infor M3 is the HR system of record: workforce analytics; Where Infor M3 runs operations: order and supply analysis. Financial records land in Apache Kylin as they change, so period-end reporting queries current numbers rather than last night's extract.
-
Apache Kylin: SQL over JDBC/ODBC plus a REST API for queries and administration. Authentication: Username/password (HTTP basic authentication on the REST API). 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.
-
Apache Kylin: Data enters Kylin through batch build jobs from upstream sources such as Hive; there is no row-level write API for external systems. 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 Apache Kylin 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 Apache Kylin 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 Apache Kylin and Infor M3.
Popular · 8 of 386
- Apache Kylin ⇄ Infor CloudSuite
- Apache Kylin ⇄ Infor LN
- Apache Kylin ⇄ Infor WMS
-
Apache Kylin ⇄ IQMS (DELMIAworks) -
Infor M3 ⇄ Databricks -
Infor M3 ⇄ AWS S3 -
Infor M3 ⇄ Actian Vector -
Infor M3 ⇄ Amazon Redshift
No integrations match .
