Two-way sync
Changes in Cloudera Data Platform or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and SAP S/4HANA 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 SAP S/4HANA carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Products / Materials, Billing Documents (Invoices), Deliveries, Journal Entries from SAP S/4HANA 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 SAP S/4HANA where that is useful.
Worker and organization data syncs into Cloudera Data Platform for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
Combine SAP S/4HANA's records with data synced from other systems in Cloudera Data Platform 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.
| Cloudera Data Platform objects | SAP S/4HANA objects | |
|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Purchase Orders Procurement documents shared with supplier portals and spend-management tools. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Products / Materials Material master data distributed to e-commerce, PIM, and CRM catalogs. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Billing Documents (Invoices) Invoice data pushed to CRMs and payment or collections tools for finance visibility. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Deliveries Outbound delivery status synced to customer-facing systems for order tracking. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Journal Entries Financial postings read into warehouses and consolidation tools for reporting. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–SAP S/4HANA connection.
Changes in Cloudera Data Platform or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or SAP S/4HANA 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 SAP S/4HANA record.
Track your Cloudera Data Platform ⇄ SAP S/4HANA sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and SAP S/4HANA.
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 SAP S/4HANA 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 SAP S/4HANA 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 SAP S/4HANA: 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.
On the Cloudera Data Platform side: Impala tables, Kudu tables, Iceberg tables, Views, plus custom fields where Cloudera Data Platform exposes them. On the SAP S/4HANA side: Products / Materials, Billing Documents (Invoices), Deliveries, Journal Entries. Stacksync auto-detects both schemas and converts types between the two systems.
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 Cloudera Data Platform and SAP S/4HANA: Where SAP S/4HANA is the HR system of record: workforce analytics; Where SAP S/4HANA runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Cloudera Data Platform for headcount, cost, and planning analysis alongside other company data.
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. SAP S/4HANA: OData REST APIs (v2/v4), with SOAP, BAPI/RFC, and IDoc interfaces on on-premise editions. Authentication: OAuth 2.0 with communication arrangements on cloud editions; basic auth or certificate-based on-premise. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. SAP S/4HANA: The Business Partner model consolidates what older SAP systems split into separate customer and vendor masters. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and SAP S/4HANA without custom code.
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 SAP S/4HANA.