Two-way sync
Changes in PostgreSQL or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL 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 PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Customers, Abandoned Checkouts, Products, ProductMedias from Shopify into Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL 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.
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 PostgreSQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Shopify become tables in PostgreSQL you can join with application data directly.
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.
| PostgreSQL objects | Shopify objects | |
|---|---|---|
| Columns Field-level mapping targets; types are mapped to the connected system's field types. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | |
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | |
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | |
| Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | |
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | ProductVariants Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Shopify connection.
Changes in PostgreSQL or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Shopify record.
Track your PostgreSQL ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and Shopify: authenticate both systems, choose the objects to sync (such as PostgreSQL's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 PostgreSQL and Shopify: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Shopify API, limits, and retries.
PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. 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: Only 6 objects documented as supported (Products, ProductMedias, ProductVariants, Orders, Customers, Abandoned Checkouts); others require emailing integrations@stacksync.com. PostgreSQL: Logical decoding of the write-ahead log (wal_level=logical) provides row-level change capture without adding triggers to user tables. Stacksync's field mapping accounts for these differences between PostgreSQL and Shopify 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 PostgreSQL and Shopify records are not retained after a sync operation.
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 PostgreSQL and Shopify.