Two-way sync
Changes in Shopify or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Shopify and TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors ProductMedias, ProductVariants, Orders, Customers from Shopify into Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB 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 TimescaleDB 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 TimescaleDB, 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.
| Shopify objects | TimescaleDB objects | |
|---|---|---|
| Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| ProductMedias Synced with incremental and full sync per the Stacksync docs. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| ProductVariants Synced with incremental and full sync per the Stacksync docs. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Views Standard SQL views used to shape or filter data for consumers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Shopify–TimescaleDB connection.
Changes in Shopify or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Shopify or TimescaleDB 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 TimescaleDB record.
Track your Shopify ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Shopify and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Shopify's Customers and Abandoned Checkouts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Shopify and TimescaleDB: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to TimescaleDB sync onto the matching records in Shopify, giving go-to-market teams live product context.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. 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. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Shopify and TimescaleDB 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 Shopify and TimescaleDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Shopify and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Shopify–TimescaleDB integration in-house.
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 TimescaleDB.