Two-way sync
Changes in Apache Cassandra or Bingads instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 Apache Cassandra, hard to get into campaigns without manual exports.
Stacksync mirrors Ad Groups, Ads, Keywords & Negative Keywords, Budgets & Bid Strategies from Bingads into Tables, Partitions and Rows, Materialized Views, Secondary Indexes in Apache Cassandra 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 Apache Cassandra, 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.
Contacts, leads, audiences, and campaign metrics from Bingads live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in Apache Cassandra 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 Apache Cassandra beside the matching customer record, ready for reporting and revenue attribution.
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 Cassandra objects | Bingads objects | How this pairing syncs | |
|---|---|---|---|
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | 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. | Partitions and Rows is specific to Apache Cassandra and Audiences & Remarketing Lists to Bingads — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | 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. | Materialized Views is specific to Apache Cassandra and Conversion Goals & Offline Conversions to Bingads — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Ad Extensions (Assets) Sitelink, callout, image, call, and other extensions/assets associated to campaigns and ad groups; CRUD via Campaign Management. | Secondary Indexes is specific to Apache Cassandra and Ad Extensions (Assets) to Bingads — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | 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. | User-Defined Types is specific to Apache Cassandra and Accounts, Customers & Users to Bingads — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Performance Reports Campaign, ad group, keyword, geographic, and audience performance via the asynchronous Reporting service (submit, poll, download); read-only spend and conversion data. | Collections is specific to Apache Cassandra and Performance Reports to Bingads — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | 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). | Counters is specific to Apache Cassandra and Campaigns 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 Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
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 written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Bingads connection.
Changes in Apache Cassandra or Bingads instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or Bingads record.
Track your Apache Cassandra ⇄ Bingads sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and Bingads: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Partitions and Rows and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. 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 Apache Cassandra and Bingads without custom code.
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 Apache Cassandra and Bingads records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Bingads connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Bingads integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Bingads. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. 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.
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 388 integrations available for Apache Cassandra and Bingads.