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Data warehouse ⇄ Marketing

Apache Druid to Bingads integration — real-time, two-way sync

Keep Apache Druid 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 Apache Druid and Bingads

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

Apache Druid 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 Segments, Dimensions, Metrics, Ingestion Supervisors in Apache Druid with Ads, Keywords & Negative Keywords, Budgets & Bid Strategies, Audiences & Remarketing Lists 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 Apache Druid — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 02 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 03 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.
  • 04 Sync shared budgets and automated bid strategies so finance-approved spend and bids in an internal tool apply to live Microsoft Advertising campaigns.

Common sync patterns

Keep the contact and audience list current

New and updated contacts, leads, or audience members flow between Apache Druid and Bingads, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.

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 Apache Druid holds the current state for auditing.

Enrich records with warehouse context

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

What you can sync between Apache Druid 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.

Apache Druid objects Bingads objects How this pairing syncs
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. 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. Metrics is specific to Apache Druid and Audiences & Remarketing Lists to Bingads — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. 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. Ingestion Supervisors is specific to Apache Druid and Conversion Goals & Offline Conversions to Bingads — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Ad Extensions (Assets) Sitelink, callout, image, call, and other extensions/assets associated to campaigns and ad groups; CRUD via Campaign Management. Lookups is specific to Apache Druid and Ad Extensions (Assets) to Bingads — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. 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. Tasks is specific to Apache Druid and Accounts, Customers & Users to Bingads — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Performance Reports Campaign, ad group, keyword, geographic, and audience performance via the asynchronous Reporting service (submit, poll, download); read-only spend and conversion data. Datasources is specific to Apache Druid and Performance Reports to Bingads — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. 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). Segments is specific to Apache Druid and Campaigns to Bingads — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Bingads Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Bingads

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Bingads record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Bingads connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Bingads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Druid and Bingads integration FAQ

SECURITY

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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 398 integrations available for Apache Druid and Bingads.

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