Two-way sync
Changes in Bigcommerce or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and MySQL 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 Products, Variants and SKUs, Orders, Customers from Bigcommerce into MySQL 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 MySQL, 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.
Records from Bigcommerce, whether products, orders, customers, or inventory, live in MySQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Bigcommerce API, rate limits, and retries.
Updates in Bigcommerce arrive as row changes in MySQL, so jobs and triggers can respond the moment an order, price, or stock level changes.
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 | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| 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. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Products is specific to Bigcommerce and JSON Columns to MySQL — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Variants and SKUs is specific to Bigcommerce and Stored Procedures to MySQL — 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. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | Orders is specific to Bigcommerce and Triggers to MySQL — 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. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Customers is specific to Bigcommerce and Databases (Schemas) to MySQL — 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. | Tables The primary sync target; rows map to records in connected systems. | Categories is specific to Bigcommerce and Tables to MySQL — 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. | Views Read-side projections used as outbound sync sources. | Brands is specific to Bigcommerce and Views to MySQL — 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 MySQL as a row-level write, with types converted between the two schemas.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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–MySQL connection.
Changes in Bigcommerce or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or MySQL 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 MySQL record.
Track your Bigcommerce ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and MySQL.
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 MySQL 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 MySQL 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 MySQL: authenticate both systems, choose the objects to sync (such as Bigcommerce's Products and Variants and SKUs), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Bigcommerce and MySQL: Read the store's data with a query; Internal tools and automations without API code; React to store changes. Records from Bigcommerce, whether products, orders, customers, or inventory, live in MySQL as ordinary tables or collections, joinable with the rest of your data.
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). MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). Stacksync manages authentication, retries, and rate limits on both sides.
MySQL: The binary log in ROW format records every row-level change, enabling log-based CDC without adding triggers to user tables. Bigcommerce: Rate-limit quota refreshes every 30 seconds rather than continuously, so a burst of order events during a sale can exhaust the window. Stacksync's field mapping accounts for these differences between Bigcommerce and MySQL 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 MySQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bigcommerce and MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–MySQL integration in-house.
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 504 integrations available for Bigcommerce and MySQL.