Two-way sync
Changes in Apache Druid or SAP instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and SAP 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 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Purchase Orders, Outbound Deliveries, Billing Documents, GL Accounts and Journal Entries from SAP into tables in Apache Druid continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Druid can be written back to fields in SAP where that is useful.
Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Druid, joinable with sales and finance data.
Combine SAP's records with data synced from other systems in Apache Druid 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.
| Apache Druid objects | SAP objects | |
|---|---|---|
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Business Partners The unified customer and supplier master in S/4HANA, the anchor object for CRM and procurement syncs. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Materials (Products) Item master with plant and sales views, synced to commerce, PLM, and CRM systems. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Sales Orders Order documents written from external channels and read for status and fulfillment. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Purchase Orders Procurement documents synced with supplier portals and spend tools. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Billing Documents Invoices read for AR status and replicated for revenue reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–SAP connection.
Changes in Apache Druid or SAP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or SAP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or SAP record.
Track your Apache Druid ⇄ SAP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and SAP.
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 Apache Druid and SAP 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 Apache Druid and SAP 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 Apache Druid and SAP: authenticate both systems, choose the objects to sync (such as Apache Druid's Tasks and Datasources), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Druid side: Ingestion Supervisors, Lookups, Tasks, Datasources, plus custom fields where Apache Druid exposes them. On the SAP side: Purchase Orders, Outbound Deliveries, Billing Documents, GL Accounts and 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 Apache Druid and SAP: Where SAP is the HR system of record: workforce analytics; Where SAP runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
Apache Druid: REST API (SQL over HTTP and native JSON queries); JDBC via Avatica. Authentication: Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. SAP: OData (v2/v4) APIs on S/4HANA; BAPI/RFC and IDoc on ECC and on-prem systems; SOAP services. Authentication: OAuth 2.0 or basic auth via communication arrangements on cloud editions; SAP user credentials for RFC on-prem. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Druid: Druid stores data in immutable, time-partitioned segments; there is no row-level update path, so writes happen through ingestion and reprocessing rather than upserts. SAP: S/4HANA's Business Partner model unifies the legacy customer and vendor masters into one object, so integrations map both roles to a single record. Stacksync's field mapping accounts for these differences between Apache Druid and SAP 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 Apache Druid and SAP.