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Database ⇄ ERP

Jdbc to SAP integration — real-time, two-way sync

Keep Jdbc 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Jdbc and SAP

Give your engineers SAP's data in Jdbc: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Production Orders, Inventory / Stock, Cost Centers, Business Partners from SAP into Jdbc and keeps both sides consistent in real time. Whatever SAP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Jdbc sync back into SAP with its validations respected.

Common use cases

  • 01 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 02 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
  • 03 Replicate journal entries and billing documents to a warehouse for finance analytics without loading the ERP.
  • 04 Keep MES and WMS systems aligned with production orders and goods movements.

Common sync patterns

Where SAP is the HR system of record: people data for internal systems

Worker and org records stay current in Jdbc for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Jdbc back into SAP, keeping the ERP authoritative.

Read ERP records with a query

Records from SAP live in Jdbc as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Jdbc and SAP

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.

Jdbc objects SAP objects How this pairing syncs
Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Sales Orders Order documents written from external channels and read for status and fulfillment. Schemas & catalogs is specific to Jdbc and Sales Orders to SAP — each maps to any object or custom field on the other side.
Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Purchase Orders Procurement documents synced with supplier portals and spend tools. Stored procedures & functions is specific to Jdbc and Purchase Orders to SAP — each maps to any object or custom field on the other side.
Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. Sequences is specific to Jdbc and Outbound Deliveries to SAP — each maps to any object or custom field on the other side.
Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Billing Documents Invoices read for AR status and replicated for revenue reporting. Tables is specific to Jdbc and Billing Documents to SAP — each maps to any object or custom field on the other side.
Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics. Views is specific to Jdbc and GL Accounts and Journal Entries to SAP — each maps to any object or custom field on the other side.
Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Production Orders Manufacturing orders exchanged with MES and scheduling systems. Columns is specific to Jdbc and Production Orders to SAP — each maps to any object or custom field on the other side.

How changes propagate between Jdbc and SAP

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Jdbc SAP Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to SAP through its API, with automatic retries and rate-limit backoff.

SAP Jdbc Sub-second propagation

DetectionSAP notifies Stacksync of record changes through webhook events. Business events via SAP Event Mesh on S/4HANA.

DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
  • SAP: Throttling is configured at the gateway and tenant level rather than as a single published rate limit.
What ships with Jdbc ⇄ SAP

Connect Jdbc and SAP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–SAP connection.

Real-time

Two-way sync

Changes in Jdbc or SAP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc or SAP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Jdbc or SAP record.

Observability

Monitoring

Track your Jdbc ⇄ SAP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jdbc and SAP.

How the Jdbc and SAP connectors work

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.

SAP

Integration surface
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
Change detection
Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC
Capabilities
read · write · webhooks
Rate limits
Throttling is configured at the gateway and tenant level rather than as a single published rate limit
How it works

How to connect Jdbc to SAP — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Jdbc 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Jdbc connected
    SAP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Jdbc ⇄ SAP
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Jdbc SAP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc and SAP integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 455 integrations available for Jdbc and SAP.

Popular · 6 of 455
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