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Database ⇄ ERP

AWS Aurora MySQL to TikTok Shop integration — real-time, two-way sync

Keep AWS Aurora MySQL and TikTok Shop 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 AWS Aurora MySQL and TikTok Shop

Give your engineers TikTok Shop's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Inventory, Returns and refunds, Promotions, Shops from TikTok Shop into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever TikTok Shop is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora MySQL sync back into TikTok Shop with its validations respected.

Common use cases

  • 01 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 02 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 03 Write tracking numbers and fulfillment status back to TikTok Shop when orders ship
  • 04 Reconcile refunds and returns into accounting systems alongside other sales channels

Common sync patterns

Read ERP records with a query

Records from TikTok Shop live in AWS Aurora 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 TikTok Shop interface, limits, and retries.

React to ERP changes

Updates in TikTok Shop arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.

What you can sync between AWS Aurora MySQL and TikTok Shop

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.

AWS Aurora MySQL objects TikTok Shop objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. SKUs The purchasable variants under a product; inventory and price live at this level. Views is specific to AWS Aurora MySQL and SKUs to TikTok Shop — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Orders Purchases pulled into an OMS or ERP for fulfillment and accounting. Foreign keys is specific to AWS Aurora MySQL and Orders to TikTok Shop — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Fulfillment packages Shipment units where tracking numbers and carrier data are written back. Stored procedures and triggers is specific to AWS Aurora MySQL and Fulfillment packages to TikTok Shop — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Inventory Stock quantities per SKU, updated from the warehouse or ERP to prevent oversells. Databases (schemas) is specific to AWS Aurora MySQL and Inventory to TikTok Shop — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Returns and refunds After-sale records reconciled into finance and support systems. Tables is specific to AWS Aurora MySQL and Returns and refunds to TikTok Shop — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Promotions Discount campaigns that affect order pricing and settlement reconciliation. Rows is specific to AWS Aurora MySQL and Promotions to TikTok Shop — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and TikTok Shop

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.

AWS Aurora MySQL TikTok Shop Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to TikTok Shop through its API, with automatic retries and rate-limit backoff.

TikTok Shop AWS Aurora MySQL Sub-second propagation

DetectionTikTok Shop notifies Stacksync of record changes through webhook events. Webhook push notifications for order and product status changes, with polling for reconciliation.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • TikTok Shop: Subject to the platform's per-app API rate limits.
What ships with AWS Aurora MySQL ⇄ TikTok Shop

Connect AWS Aurora MySQL and TikTok Shop for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–TikTok Shop connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or TikTok Shop instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or TikTok Shop 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 AWS Aurora MySQL or TikTok Shop record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ TikTok Shop sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and TikTok Shop.

How the AWS Aurora MySQL and TikTok Shop connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

TikTok Shop

Integration surface
REST API (TikTok Shop Open Platform)
Authentication
App key and secret with shop-scoped access tokens; requests carry a signature
Change detection
Webhook push notifications for order and product status changes, with polling for reconciliation
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-app API rate limits
How it works

How to connect AWS Aurora MySQL to TikTok Shop — 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 AWS Aurora MySQL and TikTok Shop 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
    AWS Aurora MySQL connected
    TikTok Shop connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and TikTok Shop 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 · AWS Aurora MySQL ⇄ TikTok Shop
    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
    AWS Aurora MySQL TikTok Shop
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and TikTok Shop 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.

Learn more about security
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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 447 integrations available for AWS Aurora MySQL and TikTok Shop.

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