Skip to content
Data warehouse ⇄ ERP

Apache Impala to Infor M3 integration — real-time, two-way sync

Keep Apache Impala 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 Impala and Infor M3

Put Infor M3's records in Apache Impala 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 Apache Impala next to everything else the company measures.

Stacksync syncs Inventory Balances, Invoices, Warehouses, Price Lists from Infor M3 into tables in Apache Impala continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Impala can be written back to fields in Infor M3 where that is useful.

Common use cases

  • Serve fast extracts of Hadoop-resident tables to operational databases and SaaS tools through Impala instead of slow batch engines.
  • Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
  • Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
  • Feed manufacturing order status to a customer portal for order tracking in fashion, food, or equipment supply chains

Group reporting across systems

Combine Infor M3's records with data synced from other systems in Apache Impala for consolidated views no single system can produce.

Write-back where Infor M3 exposes writable fields

Classifications or reference values computed in Apache Impala sync back onto the corresponding records in Infor M3.

Where Infor M3 holds the books: finance reporting from live data

Financial records land in Apache Impala as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between Apache Impala 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 Impala objects Infor M3 objects
External Tables Tables over files loaded by other tools, queryable without data movement. Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice.
Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. Items Item master records provide the SKU, unit, and attribute data other systems price and sell against.
Databases Namespaces shared with the Hive Metastore that scope tables. Customers Customer master records sync with CRM account records to keep one shared customer file.
Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. Suppliers Supplier records align procurement tools with the vendors M3 purchases from.
Partitions Partition values used to limit scans and drive incremental reads. Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing.
Views Logical views readable as modeled sources. Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand.
What ships with Apache Impala ⇄ Infor M3

Connect Apache Impala and Infor M3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Infor M3 connection.

Real-time

Two-way sync

Changes in Apache Impala or Infor M3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Impala 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 Impala or Infor M3 record.

Observability

Monitoring

Track your Apache Impala ⇄ 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 Impala and Infor M3.

How the Apache Impala and Infor M3 connectors work

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings

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 Impala 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.

  1. 01

    Connect your apps

    Authenticate Apache Impala 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Impala connected
    Infor M3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Impala 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Impala ⇄ Infor M3
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Impala Infor M3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Impala and Infor M3 integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Impala and Infor M3.

Popular · 8 of 386
All Apache Impala integrations All Infor M3 integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own