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Marketing ⇄ Database

Bingads to Jdbc integration — real-time, two-way sync

Keep Bingads and Jdbc 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 Bingads and Jdbc

Give your team Bingads's contacts, campaigns, and engagement in Jdbc: 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 Jdbc, hard to get into campaigns without manual exports.

Stacksync mirrors Ad Groups, Ads, Keywords & Negative Keywords, Budgets & Bid Strategies from Bingads into Sequences, Tables, Views, Columns in Jdbc 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 Jdbc, 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 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 02 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 03 Two-way sync remarketing and customer-match audiences so audience lists stay aligned between a CDP or CRM and Microsoft Advertising.
  • 04 Push campaign structure - campaigns, ad groups, ads, keywords, and negative keywords - from a planning database into Microsoft Advertising through the Campaign Management or Bulk service.

Common sync patterns

Query Bingads like a database

Contacts, leads, audiences, and campaign metrics from Bingads live in Jdbc 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 Jdbc 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.

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Bingads land in Jdbc beside the matching customer record, ready for reporting and revenue attribution.

What you can sync between Bingads and Jdbc

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.

Bingads objects Jdbc objects How this pairing syncs
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. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Ads is specific to Bingads and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
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. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Keywords & Negative Keywords is specific to Bingads and Sequences to Jdbc — each maps to any object or custom field on the other side.
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. Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Budgets & Bid Strategies is specific to Bingads and Tables to Jdbc — each maps to any object or custom field on the other side.
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. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Audiences & Remarketing Lists is specific to Bingads and Views to Jdbc — each maps to any object or custom field on the other side.
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. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Conversion Goals & Offline Conversions is specific to Bingads and Columns to Jdbc — each maps to any object or custom field on the other side.
Ad Extensions (Assets) Sitelink, callout, image, call, and other extensions/assets associated to campaigns and ad groups; CRUD via Campaign Management. Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Ad Extensions (Assets) is specific to Bingads and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Bingads and Jdbc

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.

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

Jdbc Bingads Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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

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.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Bingads ⇄ Jdbc

Connect Bingads and Jdbc for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Bingads or Jdbc instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Bingads or Jdbc 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 Bingads or Jdbc record.

Observability

Monitoring

Track your Bingads ⇄ Jdbc sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Bingads and Jdbc.

How the Bingads and Jdbc connectors work

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.

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

How to connect Bingads to Jdbc — 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 Bingads and Jdbc 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
    Bingads connected
    Jdbc connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Bingads and Jdbc 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 · Bingads ⇄ Jdbc
    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
    Bingads Jdbc
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Bingads and Jdbc 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 389 integrations available for Bingads and Jdbc.

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