Two-way sync
Changes in Shopify or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Shopify and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Orders, Customers, Abandoned Checkouts, Products from Shopify land in Yellowbrick as live tables, updated within seconds, and columns computed in Yellowbrick write back to fields in Shopify. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Yellowbrick can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Shopify are queryable in Yellowbrick moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Yellowbrick appear as fields in Shopify, where the people working accounts actually see them.
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.
| Shopify objects | Yellowbrick objects | |
|---|---|---|
| Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Views Logical views used to shape reads for BI and downstream syncs. | |
| Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| ProductMedias Synced with incremental and full sync per the Stacksync docs. | Databases Top-level containers for schemas and tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Shopify–Yellowbrick connection.
Changes in Shopify or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Shopify or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Shopify or Yellowbrick record.
Track your Shopify ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Shopify and Yellowbrick.
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 Shopify and Yellowbrick 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 Shopify and Yellowbrick 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 Shopify and Yellowbrick: authenticate both systems, choose the objects to sync (such as Shopify's Orders and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Shopify and Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Shopify–Yellowbrick integration in-house.
Yes — Stacksync ships production-grade connectors for both Shopify and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Shopify: Webhook topics per resource, with polling on updated_at as a fallback. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Shopify side: Orders, Customers, Abandoned Checkouts, Products, plus custom fields where Shopify exposes them. On the Yellowbrick side: Databases, Schemas, Tables, Views. 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.
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 Shopify and Yellowbrick.