Two-way sync
Changes in Amazon RDS or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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.
Syncing Shopify with Amazon RDS gives operations and data teams a SQL copy of the storefront: Products, Orders, and Customers become rows in RDS Tables. Catalog changes written to the database sync back to Shopify, so merchandising and fulfillment systems work from one relational source.
Stacksync mirrors Products, ProductMedias, ProductVariants, Orders from Shopify into Tables, Views, Columns, Primary and Unique Keys in Amazon RDS 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.
Shopify Orders and Customers replicate into Amazon RDS Tables for fulfillment, finance, and analytics queries.
Products, ProductVariants, and ProductMedias sync bidirectionally so pricing and inventory updates made in RDS publish to Shopify.
Abandoned Checkouts land in RDS Views where they join Customers for win-back campaigns.
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.
| Amazon RDS objects | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Databases is specific to Amazon RDS and ProductVariants to Shopify — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Schemas is specific to Amazon RDS and Orders to Shopify — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Tables is specific to Amazon RDS and Customers to Shopify — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Views is specific to Amazon RDS and Abandoned Checkouts to Shopify — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Columns is specific to Amazon RDS and Products to Shopify — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Primary and Unique Keys is specific to Amazon RDS and ProductMedias 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 Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
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 Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Shopify connection.
Changes in Amazon RDS or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Shopify record.
Track your Amazon RDS ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS 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 Amazon RDS 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 Amazon RDS 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 Amazon RDS and Shopify: authenticate both systems, choose the objects to sync (such as Amazon RDS's Databases and Schemas), 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 Amazon RDS and Shopify: Order mirror; Catalog management; Recovery targeting. Shopify Orders and Customers replicate into Amazon RDS Tables for fulfillment, finance, and analytics queries.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. 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. Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Stacksync's field mapping accounts for these differences between Amazon RDS 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 Amazon RDS 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 390 integrations available for Amazon RDS and Shopify.