Skip to content
E-commerce ⇄ Database

Bigcommerce to MySQL integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Bigcommerce and MySQL

Give your engineers Bigcommerce's products, orders, and customers in MySQL: 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 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.

Common use cases

  • 01 Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts
  • 02 Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
  • 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

Read the store's data with a query

Records from Bigcommerce, whether products, orders, customers, or inventory, live in MySQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Bigcommerce API, rate limits, and retries.

React to store changes

Updates in Bigcommerce arrive as row changes in MySQL, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between Bigcommerce and MySQL

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.

How changes propagate between Bigcommerce and MySQL

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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.

MySQL Bigcommerce Sub-second propagation

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.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Bigcommerce ⇄ MySQL

Connect Bigcommerce and MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–MySQL connection.

Real-time

Two-way sync

Changes in Bigcommerce or MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Bigcommerce or MySQL 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 MySQL record.

Observability

Monitoring

Track your Bigcommerce ⇄ MySQL 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 MySQL.

How the Bigcommerce and MySQL 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.
Bigcommerce setup guide

MySQL

Integration surface
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)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Bigcommerce to MySQL — 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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Bigcommerce connected
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Bigcommerce ⇄ MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Bigcommerce MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Bigcommerce and MySQL integration FAQ

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 504 integrations available for Bigcommerce and MySQL.

Popular · 8 of 504
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.