Two-way sync
Changes in Bingads or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Bingads and Citus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Citus, hard to get into campaigns without manual exports.
Stacksync mirrors Accounts, Customers & Users, Performance Reports, Campaigns, Ad Groups from Bingads into Distributed tables, Reference tables, Local tables, Schemas in Citus 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 Citus, 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.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Contacts, leads, audiences, and campaign metrics from Bingads live in Citus as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in Citus 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.
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 | Citus objects | How this pairing syncs | |
|---|---|---|---|
| Performance Reports Campaign, ad group, keyword, geographic, and audience performance via the asynchronous Reporting service (submit, poll, download); read-only spend and conversion data. | Views Curated projections over distributed data, often used as read-only sync sources. | Performance Reports is specific to Bingads and Views to Citus — 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). | Sequences Key generators that matter when external writes must not collide with application inserts. | Campaigns is specific to Bingads and Sequences to Citus — each maps to any object or custom field on the other side. | |
| 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. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Ad Groups is specific to Bingads and Distributed tables to Citus — each maps to any object or custom field on the other side. | |
| 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. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Ads is specific to Bingads and Reference tables to Citus — 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. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Keywords & Negative Keywords is specific to Bingads and Local tables to Citus — 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. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Budgets & Bid Strategies is specific to Bingads and Schemas to Citus — each maps to any object or custom field on the other side. |
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.
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 Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Bingads through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bingads–Citus connection.
Changes in Bingads or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bingads or Citus data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Bingads or Citus record.
Track your Bingads ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bingads and Citus.
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.
Authenticate Bingads and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Bingads and Citus 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Bingads and Citus: authenticate both systems, choose the objects to sync (such as Bingads's Performance Reports and Campaigns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Citus side: Distributed tables, Reference tables, Local tables, Schemas, plus custom fields where Citus exposes them. On the Bingads side: Accounts, Customers & Users, Performance Reports, Campaigns, Ad Groups. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Bingads and Citus: Keep contact attributes consistent; Query Bingads like a database; Build audiences from your own data. Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Bingads: 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). Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Stacksync manages authentication, retries, and rate limits on both sides.
Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Bingads: Every call needs both an OAuth 2.0 access token (Microsoft identity platform) in the SOAP AuthenticationToken header and a Microsoft Advertising Developer Token; a Sandbox environment with its own tokens mirrors production for testing. Stacksync's field mapping accounts for these differences between Bingads and Citus without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 390 integrations available for Bingads and Citus.