Two-way sync
Changes in Bingads or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Bingads and Google Cloud SQL 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 Google Cloud SQL, 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 Instances, Databases, Schemas, Tables in Google Cloud SQL 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 Google Cloud SQL, 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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL, 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.
| Bingads objects | Google Cloud SQL objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Accounts, Customers & Users is specific to Bingads and Transaction logs to Google Cloud SQL — 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. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Performance Reports is specific to Bingads and Instances to Google Cloud SQL — 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). | Databases Scope the tables included in a sync configuration. | Campaigns is specific to Bingads and Databases to Google Cloud SQL — 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. | Schemas Namespace tables in PostgreSQL and SQL Server instances. | Ad Groups is specific to Bingads and Schemas to Google Cloud SQL — 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. | Tables Mapped directly to sync targets; schema changes can be propagated. | Ads is specific to Bingads and Tables to Google Cloud SQL — 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. | Rows Read and written by primary key during each sync cycle. | Keywords & Negative Keywords is specific to Bingads and Rows to Google Cloud SQL — 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.
DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
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–Google Cloud SQL connection.
Changes in Bingads or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bingads or Google Cloud SQL 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 Google Cloud SQL record.
Track your Bingads ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bingads and Google Cloud SQL.
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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL: authenticate both systems, choose the objects to sync (such as Bingads's Accounts, Customers & Users and Performance Reports), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Bingads and Google Cloud SQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bingads and Google Cloud SQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bingads–Google Cloud SQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Bingads and Google Cloud SQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud SQL side: Instances, Databases, Schemas, Tables, plus custom fields where Google Cloud SQL 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.
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 393 integrations available for Bingads and Google Cloud SQL.