Real-time
Two-way sync
Changes in Bigcommerce or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Bigcommerce to Redis Enterprise integration — real-time, two-way sync
Keep Bigcommerce and Redis Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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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 Redis Enterprise
Give your engineers Bigcommerce's products, orders, and customers in Redis Enterprise: 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 Inventory, Price Lists, Shipments, Products from Bigcommerce into Redis Enterprise 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 Redis Enterprise, 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 Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
- 02 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- 03 Write Inventory levels from a WMS or ERP onto BigCommerce Variants and SKUs so storefront availability reflects warehouse on-hand counts.
- 04 Sync Customers and customer groups two-way with a CRM so marketing and support see the same accounts and addresses as the storefront.
Common sync patterns
Keep catalog and inventory current
Prices, stock levels, or product details maintained in Redis Enterprise sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Order data where your code can use it
Orders and their status become rows in Redis Enterprise for routing, fulfillment, and reporting, without polling the platform.
Controlled write-back
Choose exactly which tables and fields may flow from Redis Enterprise back into Bigcommerce, keeping the store authoritative on what it owns.
What you can sync between Bigcommerce and Redis Enterprise
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Variants and SKUs Per-variant pricing and inventory; synced to keep stock and SKU data aligned with an ERP or WMS at the option level. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Variants and SKUs is specific to Bigcommerce and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Orders is specific to Bigcommerce and Streams to Redis Enterprise — 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. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Customers is specific to Bigcommerce and Pub/Sub channels to Redis Enterprise — 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. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Categories is specific to Bigcommerce and Search indexes to Redis Enterprise — 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. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Brands is specific to Bigcommerce and Keys (Strings) to Redis Enterprise — 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. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Inventory is specific to Bigcommerce and Hashes to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Bigcommerce and Redis Enterprise
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 Redis Enterprise 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 applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Bigcommerce Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
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.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Bigcommerce ⇄ Redis Enterprise
Connect Bigcommerce and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Bigcommerce or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your Bigcommerce ⇄ Redis Enterprise 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 Redis Enterprise.
How the Bigcommerce and Redis Enterprise 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.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Bigcommerce to Redis Enterprise — 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 Redis Enterprise 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
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Bigcommerce and Redis Enterprise 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 ⇄ Redis EnterpriseCustomers 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 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Bigcommerce and Redis Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Bigcommerce and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Bigcommerce's Variants and SKUs and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Bigcommerce: 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. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Redis Enterprise side: Pub/Sub channels, Search indexes, Keys (Strings), Hashes, plus custom fields where Redis Enterprise exposes them. On the Bigcommerce side: Inventory, Price Lists, Shipments, Products. 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 Bigcommerce and Redis Enterprise: Keep catalog and inventory current; Order data where your code can use it; Controlled write-back. Prices, stock levels, or product details maintained in Redis Enterprise sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
-
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). Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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 392 integrations available for Bigcommerce and Redis Enterprise.
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