Two-way sync
Changes in Bigcommerce or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Categories, Brands, Inventory, Price Lists from Bigcommerce into SingleStore 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 SingleStore, 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.
Prices, stock levels, or product details maintained in SingleStore sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Orders and their status become rows in SingleStore for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from SingleStore back into Bigcommerce, keeping the store authoritative on what it owns.
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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | Stored Procedures Existing logic sometimes invoked on write paths. | Price Lists is specific to Bigcommerce and Stored Procedures to SingleStore — each maps to any object or custom field on the other side. | |
| Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Shipments is specific to Bigcommerce and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side. | |
| Products Catalog V3 records with custom fields and images; mastered in a PIM or ERP and written to BigCommerce, or read out to a warehouse. | Databases The connection target containing the tables a sync addresses. | Products is specific to Bigcommerce and Databases to SingleStore — each maps to any object or custom field on the other side. | |
| 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Variants and SKUs is specific to Bigcommerce and Tables (rowstore and columnstore) to SingleStore — 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. | Views Read-only projections used as curated sync sources. | Orders is specific to Bigcommerce and Views to SingleStore — 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. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Customers is specific to Bigcommerce and Reference Tables to SingleStore — each maps to any object or custom field on the other side. |
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.
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 SingleStore as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–SingleStore connection.
Changes in Bigcommerce or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Bigcommerce or SingleStore record.
Track your Bigcommerce ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and SingleStore.
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 Bigcommerce and SingleStore 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 Bigcommerce and SingleStore 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 Bigcommerce and SingleStore: authenticate both systems, choose the objects to sync (such as Bigcommerce's Price Lists and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Bigcommerce: Inventory can be tracked at the product or variant level, and multi-location stock uses the separate V3 Inventory API, so writes must target the right model. Stacksync's field mapping accounts for these differences between Bigcommerce and SingleStore without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Bigcommerce and SingleStore records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bigcommerce and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–SingleStore integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 407 integrations available for Bigcommerce and SingleStore.