Real-time
Two-way sync
Changes in Bigcommerce or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Bigcommerce to Elasticsearch integration — real-time, two-way sync
Keep Bigcommerce and Elasticsearch 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 Bigcommerce and Elasticsearch
Give your engineers Bigcommerce's products, orders, and customers in Elasticsearch: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Products, Variants and SKUs, Orders, Customers from Bigcommerce into Elasticsearch and keeps both sides consistent in real time. Whatever Bigcommerce holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Elasticsearch, such as new prices, stock levels, or fulfillment status, sync back into Bigcommerce with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- 02 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 03 Sync Customers and customer groups two-way with a CRM so marketing and support see the same accounts and addresses as the storefront.
- 04 Push Price Lists from an ERP into BigCommerce to drive customer-group and B2B pricing without manual catalog edits.
Common sync patterns
Order data where your code can use it
Orders and their status become rows in Elasticsearch for routing, fulfillment, and reporting, without polling the platform.
Controlled write-back
Choose exactly which tables and fields may flow from Elasticsearch back into Bigcommerce, keeping the store authoritative on what it owns.
Read the store's data with a query
Records from Bigcommerce, whether products, orders, customers, or inventory, live in Elasticsearch as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Bigcommerce and Elasticsearch
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.
| Bigcommerce objects | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Orders is specific to Bigcommerce and Index templates to Elasticsearch — each maps to any object or custom field on the other side. | |
| Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Customers is specific to Bigcommerce and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Categories is specific to Bigcommerce and Documents to Elasticsearch — each maps to any object or custom field on the other side. | |
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Brands is specific to Bigcommerce and Index mappings to Elasticsearch — each maps to any object or custom field on the other side. | |
| Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Inventory is specific to Bigcommerce and Aliases to Elasticsearch — each maps to any object or custom field on the other side. | |
| Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | Data streams Append-only targets for time-series or event data pushed from source systems. | Price Lists is specific to Bigcommerce and Data streams to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Bigcommerce and Elasticsearch
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.
Bigcommerce Elasticsearch Sub-second propagation
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Bigcommerce Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Bigcommerce: OAuth quota refreshes every 30 seconds and varies by plan (about 20,000 requests/hour on Standard and Plus, 60,000 on Pro, higher on Enterprise); the X-Rate-Limit-Requests-Left header reports remaining calls.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Bigcommerce ⇄ Elasticsearch
Connect Bigcommerce and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Bigcommerce or Elasticsearch 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 Bigcommerce or Elasticsearch record.
Observability
Monitoring
Track your Bigcommerce ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Elasticsearch.
How the Bigcommerce and Elasticsearch connectors work
Bigcommerce
- Integration surface
- REST Management API (V2 and V3), plus GraphQL Storefront and Admin APIs
- Authentication
- OAuth API account credentials — a store-generated client ID and permanent access token sent in the X-Auth-Token header, limited to the OAuth scopes granted when the account is created (e.g. store_v2_orders, store_v2_products)
- Change detection
- Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more); polling uses date_modified:min/max filters on Products, Orders, and Customers
- Capabilities
- read · write · webhooks
- Rate limits
- OAuth quota refreshes every 30 seconds and varies by plan (about 20,000 requests/hour on Standard and Plus, 60,000 on Pro, higher on Enterprise); the X-Rate-Limit-Requests-Left header reports remaining calls.
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works
How to connect Bigcommerce to Elasticsearch — 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.
- 01
Connect your apps
Authenticate Bigcommerce and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Bigcommerce
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Bigcommerce and Elasticsearch 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.
objects · Bigcommerce ⇄ ElasticsearchCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Bigcommerce ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Bigcommerce and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Bigcommerce and Elasticsearch: authenticate both systems, choose the objects to sync (such as Bigcommerce's Orders and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Elasticsearch side: Index mappings, Aliases, Data streams, Ingest pipelines, plus custom fields where Elasticsearch exposes them. On the Bigcommerce side: Products, Variants and SKUs, Orders, Customers. 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.
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Common patterns for Bigcommerce and Elasticsearch: Order data where your code can use it; Controlled write-back; Read the store's data with a query. Orders and their status become rows in Elasticsearch for routing, fulfillment, and reporting, without polling the platform.
-
Bigcommerce: REST Management API (V2 and V3), plus GraphQL Storefront and Admin APIs. Authentication: OAuth API account credentials — a store-generated client ID and permanent access token sent in the X-Auth-Token header, limited to the OAuth scopes granted when the account is created (e.g. store_v2_orders, store_v2_products). Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Stacksync manages authentication, retries, and rate limits on both sides.
-
Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Bigcommerce: Webhooks deactivate automatically after a series of failed retries spanning about 48 hours from the first attempt, or after 90 days with no events, so subscriptions must be monitored and re-created. Stacksync's field mapping accounts for these differences between Bigcommerce and Elasticsearch without custom code.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 478 integrations available for Bigcommerce and Elasticsearch.
Popular · 8 of 478
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Bigcommerce ⇄ AWS Aurora PostgreSQL -
Bigcommerce ⇄ MongoDB -
Bigcommerce ⇄ CockroachDB -
Bigcommerce ⇄ Google AlloyDB -
Elasticsearch ⇄ Akeneo -
Elasticsearch ⇄ Channelengine -
Elasticsearch ⇄ Easypost -
Elasticsearch ⇄ Magento
No integrations match .
