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Database ⇄ Marketing

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

Keep AWS Aurora MySQL and Bingads 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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Why teams connect AWS Aurora MySQL and Bingads

Give your team Bingads's contacts, campaigns, and engagement in AWS Aurora MySQL: query them with SQL, push audiences built from your own data back to Bingads, and skip the marketing API.

Bingads holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in AWS Aurora MySQL, hard to get into campaigns without manual exports.

Stacksync mirrors Performance Reports, Campaigns, Ad Groups, Ads from Bingads into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in AWS Aurora MySQL, from usage, orders, or account status, sync back into Bingads to drive campaigns and ads, with Bingads kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 02 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 03 Import offline conversions - closed-won deals and qualified leads - from a CRM into Microsoft Advertising with ApplyOfflineConversions so automated bidding optimizes on real outcomes.
  • 04 Mirror Accounts, Customers, and users from Customer Management into an internal database for agency/MCC-style hierarchy and access reporting.

Common sync patterns

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

Query Bingads like a database

Contacts, leads, audiences, and campaign metrics from Bingads live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

Build audiences from your own data

Segments computed in AWS Aurora MySQL from product usage, orders, or account status sync into Bingads as lists or audiences, so campaigns and ads target the people your data says they should.

What you can sync between AWS Aurora MySQL and Bingads

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 Bingads objects How this pairing syncs
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Ad Groups Ad groups under a campaign with bids, network and audience targeting, and status; CRUD via Campaign Management, so structure can be pushed in from a database. Rows is specific to AWS Aurora MySQL and Ad Groups to Bingads — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Ads Responsive search ads, expanded text ads, image and responsive ads; created and updated through Campaign Management so ad copy is managed from a source of truth. Columns is specific to AWS Aurora MySQL and Ads to Bingads — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Keywords & Negative Keywords Bidded keywords and account/campaign/ad-group negative keywords with match types; CRUD, and the Bulk service is recommended for large keyword changes. Primary keys and indexes is specific to AWS Aurora MySQL and Keywords & Negative Keywords to Bingads — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Budgets & Bid Strategies Shared budgets and automated bid strategies (e.g. Maximize Conversions, Target CPA); read and write so finance-approved spend and bids apply to live campaigns. Views is specific to AWS Aurora MySQL and Budgets & Bid Strategies to Bingads — 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. Audiences & Remarketing Lists Remarketing, customer-match, in-market, and similar audiences; read and create/associate to keep audience lists aligned with a CDP or CRM. Foreign keys is specific to AWS Aurora MySQL and Audiences & Remarketing Lists to Bingads — 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. Conversion Goals & Offline Conversions Conversion goals (read/create) plus ApplyOfflineConversions, which imports offline conversion events (closed deals, qualified leads) back into Microsoft Advertising to inform bidding. Stored procedures and triggers is specific to AWS Aurora MySQL and Conversion Goals & Offline Conversions to Bingads — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Bingads

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 Bingads 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 Bingads through its API, with automatic retries and rate-limit backoff.

Bingads AWS Aurora MySQL Interval-based propagation

DetectionStacksync polls Bingads for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks or change-data-capture.

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

Rate-limit considerations

  • Bingads: Service-specific throttling rather than one global limit. Ad Insight caps calls per user per minute with a 60-second sliding window at the customer level. The Bulk service caps download/upload calls and, once hit, returns 'no more bulk upload or download calls will be permitted for this account,' clearing after up to 15 minutes; Campaign Management caps entities per call, so large changes go through Bulk.
What ships with AWS Aurora MySQL ⇄ Bingads

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Bingads 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 Bingads 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 Bingads record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Bingads 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 Bingads.

How the AWS Aurora MySQL and Bingads 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

Bingads

Integration surface
SOAP web services (Bing Ads API v13): Campaign Management, Bulk, Reporting, Customer Management, Customer Billing, and Ad Insight services, plus offline conversion import. SDKs for C#, Java, Python, and PHP; a Sandbox environment mirrors production.
Authentication
OAuth 2.0 (Microsoft identity platform / Azure AD) access tokens passed in the SOAP AuthenticationToken header, plus a Microsoft Advertising Developer Token that authorizes API access; calls are scoped by CustomerId and account (CustomerAccountId).
Change detection
No webhooks or change-data-capture. Reporting is asynchronous - submit a report request, poll until it completes, then download the file. Current campaign state is refreshed via scheduled Bulk downloads (full or by last-sync date) or entity list calls.
Capabilities
read · write
Rate limits
Service-specific throttling rather than one global limit. Ad Insight caps calls per user per minute with a 60-second sliding window at the customer level. The Bulk service caps download/upload calls and, once hit, returns 'no more bulk upload or download calls will be permitted for this account,' clearing after up to 15 minutes; Campaign Management caps entities per call, so large changes go through Bulk.
How it works

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

    Choose tables

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

AWS Aurora MySQL and Bingads 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.

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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 408 integrations available for AWS Aurora MySQL and Bingads.

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