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CRM ⇄ Database

Shopify to TimescaleDB integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Shopify and TimescaleDB

Treat Shopify like part of your database: its records live in TimescaleDB as real tables, and writes in either place sync to the other in seconds.

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.

Common use cases

  • 01 Sync orders, customers, and inventory into Postgres for operational reporting across stores.
  • 02 Keep customer records aligned between Shopify and a CRM for segmentation and lifetime-value analysis.
  • 03 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
  • 04 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.

Common sync patterns

Product events onto CRM records

Signup, usage, or lifecycle changes written to TimescaleDB sync onto the matching records in Shopify, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Shopify API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Shopify arrive as row changes in TimescaleDB, ready to drive jobs and notifications.

What you can sync between Shopify and TimescaleDB

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 How this pairing syncs
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. Customers is specific to Shopify and Schemas to TimescaleDB — each maps to any object or custom field on the other side.
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. Abandoned Checkouts is specific to Shopify and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
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. Products is specific to Shopify and Chunks to TimescaleDB — each maps to any object or custom field on the other side.
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. ProductMedias is specific to Shopify and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
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. ProductVariants is specific to Shopify and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
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. Orders is specific to Shopify and Views to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between Shopify and TimescaleDB

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.

Shopify TimescaleDB Sub-second propagation

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 TimescaleDB as a row-level write, with types converted between the two schemas.

TimescaleDB Shopify Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

DeliveryEach detected change is written to Shopify through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Shopify: GraphQL uses a calculated query-cost budget; the REST API uses a leaky-bucket model.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Shopify ⇄ TimescaleDB

Connect Shopify and TimescaleDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Shopify–TimescaleDB connection.

Real-time

Two-way sync

Changes in Shopify or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Shopify or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Shopify or TimescaleDB record.

Observability

Monitoring

Track your Shopify ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Shopify and TimescaleDB.

How the Shopify and TimescaleDB connectors work

Shopify

Integration surface
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
Change detection
Webhook topics per resource, with polling on updated_at as a fallback
Capabilities
read · write · webhooks
Rate limits
GraphQL uses a calculated query-cost budget; the REST API uses a leaky-bucket model.
Shopify setup guide

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

How to connect Shopify to TimescaleDB — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Shopify connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Shopify ⇄ TimescaleDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Shopify TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Shopify and TimescaleDB integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 455 integrations available for Shopify and TimescaleDB.

Popular · 6 of 455
All Shopify integrations All TimescaleDB integrations Browse all integrations
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