Two-way sync
Changes in AWS Aurora PostgreSQL or Bingads instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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.
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 PostgreSQL, hard to get into campaigns without manual exports.
Stacksync mirrors Keywords & Negative Keywords, Budgets & Bid Strategies, Audiences & Remarketing Lists, Conversion Goals & Offline Conversions from Bingads into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL 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 PostgreSQL, 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.
Segments computed in AWS Aurora PostgreSQL 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.
Opens, clicks, sends, RSVPs, or ad activity from Bingads land in AWS Aurora PostgreSQL beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Bingads arrives as a row change in AWS Aurora PostgreSQL, so scoring, jobs, and notifications run in the tooling your team already uses.
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 PostgreSQL objects | Bingads objects | How this pairing syncs | |
|---|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | 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. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Ad Groups to Bingads — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | 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. | Databases and schemas is specific to AWS Aurora PostgreSQL and Ads to Bingads — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | Tables is specific to AWS Aurora PostgreSQL and Keywords & Negative Keywords to Bingads — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | 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. | Rows is specific to AWS Aurora PostgreSQL and Budgets & Bid Strategies to Bingads — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | 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. | Columns is specific to AWS Aurora PostgreSQL and Audiences & Remarketing Lists to Bingads — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | 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. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Conversion Goals & Offline Conversions to Bingads — 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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Bingads through its API, with automatic retries and rate-limit backoff.
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 PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Bingads connection.
Changes in AWS Aurora PostgreSQL or Bingads instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Bingads data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Bingads record.
Track your AWS Aurora PostgreSQL ⇄ Bingads sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Bingads.
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 AWS Aurora PostgreSQL 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.
Pick the AWS Aurora PostgreSQL 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.
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 AWS Aurora PostgreSQL and Bingads: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Replication slots and publications and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Bingads. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Bingads: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Bingads side: Keywords & Negative Keywords, Budgets & Bid Strategies, Audiences & Remarketing Lists, Conversion Goals & Offline Conversions. 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 AWS Aurora PostgreSQL and Bingads: Build audiences from your own data; Engagement and results next to the customer; React to marketing changes as row changes. Segments computed in AWS Aurora PostgreSQL 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.
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 410 integrations available for AWS Aurora PostgreSQL and Bingads.