Two-way sync
Changes in Oracle DB or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB and Shopify in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Oracle DB, where it can be queried and joined like everything else.
Stacksync mirrors ProductMedias, ProductVariants, Orders, Customers from Shopify into Schemas, Sequences, PL/SQL procedures and packages, Partitions in Oracle DB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Shopify with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to Oracle DB sync onto the matching records in Shopify, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Shopify API, limits, and retries.
Field and stage updates in Shopify arrive as row changes in Oracle DB, ready to drive jobs and notifications.
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 | Shopify objects | |
|---|---|---|
| Sequences Key generators to respect when external systems insert rows | ProductVariants Synced with incremental and full sync per the Stacksync docs. | |
| PL/SQL procedures and packages In-database logic that can consume or transform synced data | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | |
| Tables The primary read/write surface for row-level sync over SQL | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | |
| Views Curated read-only projections exposed to downstream consumers | ProductMedias Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Shopify connection.
Changes in Oracle DB or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB or Shopify 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 Shopify record.
Track your Oracle DB ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB and Shopify.
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 Shopify 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 Shopify 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 Shopify: authenticate both systems, choose the objects to sync (such as Oracle DB's Sequences and PL/SQL procedures and packages), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Shopify side: ProductMedias, ProductVariants, Orders, Customers, plus custom fields where Shopify exposes them. On the Oracle DB side: Schemas, Sequences, PL/SQL procedures and packages, Partitions. 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 Shopify: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Oracle DB sync onto the matching records in Shopify, giving go-to-market teams live product context.
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. Shopify: GraphQL Admin API (primary) and REST Admin API (legacy). Authentication: OAuth via a custom Shopify app: admin creates an app in the Shopify Dev Dashboard, enables required API scopes, sets the Stacksync redirect URL, then supplies shop name + Client ID and Client Secret to Stacksync. Stacksync manages authentication, retries, and rate limits on both sides.
Shopify: Setup requires the Shopify administrator to create a custom app in the Shopify Dev Dashboard (no one-click OAuth app). Oracle DB: Unquoted identifiers fold to uppercase in Oracle, a case-handling detail schema mappings must respect. Stacksync's field mapping accounts for these differences between Oracle DB and Shopify 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 Oracle DB and Shopify.