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Marketing ⇄ Data warehouse

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

Keep Bingads and Databricks 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 Databricks

Put modeled data to work and measure what it drives: Databricks and Bingads keep contacts, audiences, and campaign results in step in real time, in both directions.

Databricks is where your team models customers, product usage, and revenue into trusted tables; Bingads runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.

Stacksync syncs Delta Tables, Views, Materialized Views, Volumes in Databricks with Campaigns, Ad Groups, Ads, Keywords & Negative Keywords in Bingads field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Bingads while sends, opens, and conversions flow back to Databricks — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 02 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • 03 Pull performance Reports (campaign, ad group, keyword, geographic) into Postgres or a warehouse to blend Microsoft Advertising spend and conversions with Google Ads, CRM, and revenue data.
  • 04 Import offline conversions - closed-won deals and qualified leads - from a CRM into Microsoft Advertising with ApplyOfflineConversions so automated bidding optimizes on real outcomes.

Common sync patterns

Suppression and consent stay aligned

Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and Databricks holds the current state for auditing.

Enrich records with warehouse context

Product-usage counts, plan tier, region, or account owner computed in Databricks appear on the matching record in Bingads, so targeting, routing, and personalization use up-to-date context.

Activate a modeled audience

A segment or score built in Databricks — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Bingads, so campaigns target the people your data actually points to instead of a static export.

What you can sync between Bingads and Databricks

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 Databricks objects How this pairing syncs
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. Schemas Group tables and views; syncs typically target a dedicated schema per source system. Audiences & Remarketing Lists is specific to Bingads and Schemas to Databricks — 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. Delta Tables The primary read and write target; operational data lands here as managed or external tables. Conversion Goals & Offline Conversions is specific to Bingads and Delta Tables to Databricks — 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. Views Curated read-only projections used as sync sources for downstream tools. Ad Extensions (Assets) is specific to Bingads and Views to Databricks — each maps to any object or custom field on the other side.
Accounts, Customers & Users Customer Management hierarchy - accounts, customers, and users - read and managed to mirror agency/MCC-style structure and access into an internal database. Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Accounts, Customers & Users is specific to Bingads and Materialized Views to Databricks — each maps to any object or custom field on the other side.
Performance Reports Campaign, ad group, keyword, geographic, and audience performance via the asynchronous Reporting service (submit, poll, download); read-only spend and conversion data. Volumes Unity Catalog file storage used for staging bulk loads. Performance Reports is specific to Bingads and Volumes to Databricks — each maps to any object or custom field on the other side.
Campaigns Search, Audience, Shopping, and Performance Max campaigns with budget, status, and campaign-type settings; full create/read/update/delete through the Campaign Management service (or Bulk for scale). SQL Warehouses The compute endpoint a sync connects to for query execution. Campaigns is specific to Bingads and SQL Warehouses to Databricks — each maps to any object or custom field on the other side.

How changes propagate between Bingads and Databricks

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

Databricks Bingads Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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.
  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
What ships with Bingads ⇄ Databricks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Bingads or Databricks 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 Databricks record.

Observability

Monitoring

Track your Bingads ⇄ Databricks 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 Databricks.

How the Bingads and Databricks 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.

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
How it works

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

    Choose tables

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

Bingads and Databricks 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 508 integrations available for Bingads and Databricks.

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