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Data warehouse ⇄ CRM

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

Keep ClickHouse 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.

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  • POC with real engineers in minutes

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

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Why teams connect ClickHouse and Shopify

Sync Shopify into ClickHouse continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

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. Customers, Abandoned Checkouts, Products, ProductMedias from Shopify land in ClickHouse as live tables, updated within seconds, and columns computed in ClickHouse write back to fields in Shopify. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Mirror the product catalog from a PIM or database into Shopify products, variants, and metafields.
  • Sync orders, customers, and inventory into Postgres for operational reporting across stores.
  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in ClickHouse appear as fields in Shopify, where the people working accounts actually see them.

A single customer view

Join Shopify's relationship data with billing, product, and support data in ClickHouse to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in ClickHouse can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between ClickHouse and Shopify

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.

ClickHouse objects Shopify objects
Views Saved queries used as curated, read-only sync sources. Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Products Catalog entries; often mastered in a PIM or ERP and written into Shopify.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. ProductMedias Synced with incremental and full sync per the Stacksync docs.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. ProductVariants Synced with incremental and full sync per the Stacksync docs.
Databases Namespaces that group tables and scope permissions for sync users. Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting.
What ships with ClickHouse ⇄ Shopify

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or Shopify 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 ClickHouse or Shopify record.

Observability

Monitoring

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

Trading partners

EDI

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

How the ClickHouse and Shopify connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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
How it works

How to connect ClickHouse to Shopify — 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 ClickHouse 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.

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

    Choose tables

    Pick the ClickHouse 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · ClickHouse ⇄ Shopify
    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
    ClickHouse Shopify
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ClickHouse and Shopify integration FAQ

SECURITY

Security teams love 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
SOC 2 type II
ISO 27001
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GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 386 integrations available for ClickHouse and Shopify.

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