Two-way sync
Changes in Databricks or Infor CloudSuite instantly reflect in both systems. No stale data, no manual imports.
Keep Databricks and Infor CloudSuite 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 CloudSuite carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Inventory balances, GL journal entries, Items, Customers from Infor CloudSuite into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Infor CloudSuite where that is useful.
Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Databricks, joinable with sales and finance data.
Combine Infor CloudSuite's records with data synced from other systems in Databricks for consolidated views no single system can produce.
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.
| Databricks objects | Infor CloudSuite objects | |
|---|---|---|
| Views Curated read-only projections used as sync sources for downstream tools. | Invoices Billing documents synced to finance and reporting systems. | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Inventory balances On-hand quantities exposed so external channels quote against real stock. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | GL journal entries Financial postings replicated for consolidated reporting. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Items Product and material masters synced to commerce, CRM, and planning tools. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Customers Account masters matched against CRM records in two-way syncs. | |
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Suppliers / vendors Procurement counterparties synced with sourcing and AP tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Infor CloudSuite connection.
Changes in Databricks or Infor CloudSuite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Databricks or Infor CloudSuite data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Databricks or Infor CloudSuite record.
Track your Databricks ⇄ Infor CloudSuite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Databricks and Infor CloudSuite.
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 Databricks and Infor CloudSuite 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 Databricks and Infor CloudSuite 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 Databricks and Infor CloudSuite: authenticate both systems, choose the objects to sync (such as Databricks's Views and Materialized Views), 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 Databricks and Infor CloudSuite: Where Infor CloudSuite is the HR system of record: workforce analytics; Where Infor CloudSuite runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. Infor CloudSuite: REST APIs exposed through the Infor ION API gateway; integration payloads are standardized as Business Object Documents (BODs). Authentication: OAuth 2.0 via Infor OS / ION API credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: Delta Lake's Change Data Feed records row-level inserts, updates, and deletes, enabling incremental sync without full scans. Infor CloudSuite: Integration runs through Infor OS: the ION API gateway fronts the APIs and ION messaging moves standardized Business Object Documents (BODs) such as item, customer, and order syncs. Stacksync's field mapping accounts for these differences between Databricks and Infor CloudSuite 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 Databricks and Infor CloudSuite records are not retained after a sync operation.
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 Databricks and Infor CloudSuite.