Two-way sync
Changes in Render Postgres or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Render Postgres 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 Render Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Products, ProductMedias, ProductVariants, Orders from Shopify into Schemas, Columns and Types, Indexes and Constraints, Tables in Render Postgres 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 Render Postgres 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 Render Postgres, 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.
| Render Postgres objects | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Tables is specific to Render Postgres and Products to Shopify — each maps to any object or custom field on the other side. | |
| Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Views is specific to Render Postgres and ProductMedias to Shopify — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Materialized Views is specific to Render Postgres and ProductVariants to Shopify — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Schemas is specific to Render Postgres and Orders to Shopify — each maps to any object or custom field on the other side. | |
| Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Columns and Types is specific to Render Postgres and Customers to Shopify — each maps to any object or custom field on the other side. | |
| Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Indexes and Constraints is specific to Render Postgres and Abandoned Checkouts to Shopify — 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 Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Shopify through its API, with automatic retries and rate-limit backoff.
DetectionShopify notifies Stacksync of record changes through webhook events. Webhook topics per resource, with polling on updated_at as a fallback.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Render Postgres–Shopify connection.
Changes in Render Postgres or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Render Postgres 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 Render Postgres or Shopify record.
Track your Render Postgres ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Render Postgres 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 Render Postgres 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 Render Postgres 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 Render Postgres and Shopify: authenticate both systems, choose the objects to sync (such as Render Postgres's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Render Postgres and Shopify. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. On Shopify: Webhook topics per resource, with polling on updated_at as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Shopify side: Products, ProductMedias, ProductVariants, Orders, plus custom fields where Shopify exposes them. On the Render Postgres side: Schemas, Columns and Types, Indexes and Constraints, Tables. 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 Render Postgres and Shopify: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Render Postgres sync onto the matching records in Shopify, giving go-to-market teams live product context.
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 442 integrations available for Render Postgres and Shopify.