Two-way sync
Changes in Oracle DB or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB and Shopware in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Order Line Items, Order Deliveries, Order Transactions, Sales Channels from Shopware into Oracle DB and keeps both sides consistent in real time. Whatever Shopware holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Oracle DB, such as new prices, stock levels, or fulfillment status, sync back into Shopware with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Updates in Shopware arrive as row changes in Oracle DB, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Oracle DB sync back onto Shopware, so the storefront shows what your systems treat as true.
Orders and their status become rows in Oracle DB for routing, fulfillment, and reporting, without polling the platform.
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.
| Oracle DB objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Physical subdivisions relevant when replicating high-volume tables | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Partitions is specific to Oracle DB and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | JSON columns is specific to Oracle DB and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Tables The primary read/write surface for row-level sync over SQL | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Tables is specific to Oracle DB and Sales Channels to Shopware — each maps to any object or custom field on the other side. | |
| Views Curated read-only projections exposed to downstream consumers | Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. | Views is specific to Oracle DB and Media to Shopware — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed results occasionally used as stable replication sources | Products The product catalog (`product`), including parent/child variants, per-currency nested price arrays, and stock; synced two-way with ERP, PIM, or a database. | Materialized views is specific to Oracle DB and Products to Shopware — each maps to any object or custom field on the other side. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Schemas is specific to Oracle DB and Categories to Shopware — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is written to Shopware through its API, with automatic retries and rate-limit backoff.
DetectionShopware notifies Stacksync of record changes through webhook events. App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Shopware connection.
Changes in Oracle DB or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB or Shopware data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Oracle DB or Shopware record.
Track your Oracle DB ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB and Shopware.
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 Oracle DB and Shopware 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 Oracle DB and Shopware 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 Oracle DB and Shopware: authenticate both systems, choose the objects to sync (such as Oracle DB's Partitions and JSON columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. On Shopware: App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field names; otherwise poll on the updatedAt / createdAt fields. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Oracle DB side: Sequences, PL/SQL procedures and packages, Partitions, JSON columns, plus custom fields where Oracle DB exposes them. On the Shopware side: Order Line Items, Order Deliveries, Order Transactions, Sales Channels. 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 Oracle DB and Shopware: React to store changes; Keep catalog and inventory current; Order data where your code can use it. Updates in Shopware arrive as row changes in Oracle DB, so jobs and triggers can respond the moment an order, price, or stock level changes.
Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. Shopware: Admin API (REST / JSON:API) with a bulk POST /api/_action/sync endpoint. Authentication: OAuth 2.0 — client-credentials grant using an Integration's Access Key ID + Secret Access Key, or resource-owner password grant for a user; access tokens expire after 10 minutes. Stacksync manages authentication, retries, and rate limits on both sides.
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 416 integrations available for Oracle DB and Shopware.