Two-way sync
Changes in Elasticsearch or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch 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.
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 Elasticsearch, where it can be queried and joined like everything else.
Stacksync mirrors Abandoned Checkouts, Products, ProductMedias, ProductVariants from Shopify into Index templates, Indices, Documents, Index mappings in Elasticsearch 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.
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 Elasticsearch, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Shopify become tables in Elasticsearch you can join with application data directly.
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.
| Elasticsearch objects | Shopify objects | |
|---|---|---|
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | ProductVariants Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Shopify connection.
Changes in Elasticsearch or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Shopify record.
Track your Elasticsearch ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch and Shopify: authenticate both systems, choose the objects to sync (such as Elasticsearch's Aliases and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Shopify: Webhook topics per resource, with polling on updated_at as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Shopify side: Abandoned Checkouts, Products, ProductMedias, ProductVariants, plus custom fields where Shopify exposes them. On the Elasticsearch side: Index templates, Indices, Documents, Index mappings. 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.
Common patterns for Elasticsearch and Shopify: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Shopify API, limits, and retries.
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. 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.
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 Elasticsearch and Shopify.