Two-way sync
Changes in BigQuery or Cvent instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and Cvent in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BigQuery is where your team models customers, product usage, and revenue into trusted tables; Cvent 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 Datasets, Projects, Tables, Partitioned tables in BigQuery with Sessions, Speakers, Exhibitors, Surveys in Cvent 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 Cvent while sends, opens, and conversions flow back to BigQuery — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
New and updated contacts, leads, or audience members flow between BigQuery and Cvent, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.
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 BigQuery holds the current state for auditing.
Product-usage counts, plan tier, region, or account owner computed in BigQuery appear on the matching record in Cvent, so targeting, routing, and personalization use up-to-date context.
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.
| BigQuery objects | Cvent objects | How this pairing syncs | |
|---|---|---|---|
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Budgets Event budget line items; read into a finance database or ERP to reconcile planned versus actual event spend. | Partitioned tables is specific to BigQuery and Budgets to Cvent — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Events Top-level event containers created and updated through the Events endpoints; read out for reporting and written to provision events from an external system. | Clustered tables is specific to BigQuery and Events to Cvent — each maps to any object or custom field on the other side. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Contacts Account-wide people database spanning every event; synced two-way with a CRM or warehouse as the shared audience source of truth via the Create Contacts endpoint. | Datasets is specific to BigQuery and Contacts to Cvent — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Attendees and Registrations Per-event registrants; written in from CRM or marketing signup flows via POST /ea/attendees and read back out to a warehouse for attendance and registration-status reporting. | Projects is specific to BigQuery and Attendees and Registrations to Cvent — each maps to any object or custom field on the other side. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Sessions Agenda items within an event; listed or created through the API and synced so session-level attendance feeds reporting tables. | Tables is specific to BigQuery and Sessions to Cvent — 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 BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
DeliveryEach detected change is written to Cvent through its API, with automatic retries and rate-limit backoff.
DetectionCvent notifies Stacksync of record changes through webhook events. Per-event webhooks push attendee, registration, session, and speaker changes.
DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Cvent connection.
Changes in BigQuery or Cvent instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Cvent data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Cvent record.
Track your BigQuery ⇄ Cvent sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Cvent.
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 BigQuery and Cvent 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 BigQuery and Cvent 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 BigQuery and Cvent: authenticate both systems, choose the objects to sync (such as BigQuery's Partitioned tables and Clustered tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. On Cvent: Per-event webhooks push attendee, registration, session, and speaker changes; list endpoints also expose updatedDate for polling and support on-demand manual sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the BigQuery side: Datasets, Projects, Tables, Partitioned tables, plus custom fields where BigQuery exposes them. On the Cvent side: Sessions, Speakers, Exhibitors, Surveys. 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 BigQuery and Cvent: Keep the contact and audience list current; Suppression and consent stay aligned; Enrich records with warehouse context. New and updated contacts, leads, or audience members flow between BigQuery and Cvent, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. Cvent: Cvent REST API (JSON over HTTPS at api-platform.cvent.com/ea, paginated list endpoints). Authentication: OAuth 2.0 client-credentials flow: a client ID and secret are Basic-auth exchanged for a 60-minute bearer token at api-platform.cvent.com/ea/oauth2/token; legacy API-key and SOAP/CSN auth are deprecated. Stacksync manages authentication, retries, and rate limits on both sides.
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 502 integrations available for BigQuery and Cvent.