Two-way sync
Changes in Cloudera Data Platform or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
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 Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Purchase Orders, Manufacturing Orders, Inventory Balances, Invoices from Infor M3 into tables in Cloudera Data Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Cloudera Data Platform can be written back to fields in Infor M3 where that is useful.
Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
Combine Infor M3's records with data synced from other systems in Cloudera Data Platform for consolidated views no single system can produce.
Classifications or reference values computed in Cloudera Data Platform sync back onto the corresponding records in 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.
| Cloudera Data Platform objects | Infor M3 objects | |
|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Infor M3 connection.
Changes in Cloudera Data Platform or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Infor M3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Infor M3 record.
Track your Cloudera Data Platform ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Infor M3.
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.
Authenticate Cloudera Data Platform 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.
Pick the Cloudera Data Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Infor M3: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Kudu tables and Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Infor M3: M3 business logic is exposed through M3 API programs (MI programs), which Infor publishes as REST endpoints through the ION API gateway rather than as a single flat resource model. Stacksync's field mapping accounts for these differences between Cloudera Data Platform 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 Cloudera Data Platform and Infor M3 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Infor M3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Infor M3 integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Infor M3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Cloudera Data Platform and Infor M3.