Two-way sync
Changes in Databricks or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.
Keep Databricks 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 Databricks next to everything else the company measures.
Stacksync syncs Journal Entries, Customer / Supplier Roles, Production Orders, Business Partners from SAP S/4HANA 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 SAP S/4HANA where that is useful.
Operational records become queryable tables in Databricks, joinable with sales and finance data.
Combine SAP S/4HANA's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Classifications or reference values computed in Databricks sync back onto the corresponding records in SAP S/4HANA.
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 | SAP S/4HANA objects | |
|---|---|---|
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Journal Entries Financial postings read into warehouses and consolidation tools for reporting. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Customer / Supplier Roles Role-specific views of Business Partners mapped to CRM account types. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Production Orders Manufacturing order status surfaced in planning and operations tools. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Business Partners Unified customer and supplier master records, the anchor entity for CRM-to-ERP account syncs. | |
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Sales Orders Order headers and line items synced to CRMs and fulfillment systems as they are created or amended. | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Purchase Orders Procurement documents shared with supplier portals and spend-management tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–SAP S/4HANA connection.
Changes in Databricks or SAP S/4HANA instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Databricks 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 Databricks or SAP S/4HANA record.
Track your Databricks ⇄ SAP S/4HANA sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Databricks 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 Databricks 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 Databricks 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 Databricks and SAP S/4HANA: authenticate both systems, choose the objects to sync (such as Databricks's Materialized Views and Volumes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Databricks and SAP S/4HANA: Where SAP S/4HANA runs operations: order and supply analysis; Group reporting across systems; Write-back where SAP S/4HANA exposes writable fields. Operational records become queryable tables in Databricks, joinable with sales and finance 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. 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.
Databricks: Delta Lake's Change Data Feed records row-level inserts, updates, and deletes, enabling incremental sync without full scans. SAP S/4HANA: On-premise deployments still commonly integrate through BAPIs, RFCs, and IDocs alongside the OData surface. Stacksync's field mapping accounts for these differences between Databricks and SAP S/4HANA 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 SAP S/4HANA records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Databricks and SAP S/4HANA connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–SAP S/4HANA integration in-house.
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 SAP S/4HANA.