Two-way sync
Changes in Cvent or Databricks instantly reflect in both systems. No stale data, no manual imports.
Keep Cvent and Databricks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Databricks 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 Delta Tables, Views, Materialized Views, Volumes in Databricks with Exhibitors, Surveys, Budgets, Events 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 Databricks — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
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 Databricks holds the current state for auditing.
Product-usage counts, plan tier, region, or account owner computed in Databricks appear on the matching record in Cvent, so targeting, routing, and personalization use up-to-date context.
A segment or score built in Databricks — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Cvent, so campaigns target the people your data actually points to instead of a static export.
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.
| Cvent objects | Databricks objects | How this pairing syncs | |
|---|---|---|---|
| Exhibitors Exhibitor and sponsor records; synced to a CRM or database to track booth, sponsorship, and lead-capture data per event. | Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Exhibitors is specific to Cvent and Delta Tables to Databricks — each maps to any object or custom field on the other side. | |
| Surveys Survey definitions and responses; read out to a warehouse for post-event feedback analysis alongside attendance data. | Views Curated read-only projections used as sync sources for downstream tools. | Surveys is specific to Cvent and Views to Databricks — each maps to any object or custom field on the other side. | |
| Budgets Event budget line items; read into a finance database or ERP to reconcile planned versus actual event spend. | Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Budgets is specific to Cvent and Materialized Views to Databricks — each maps to any object or custom field on the other side. | |
| 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. | Volumes Unity Catalog file storage used for staging bulk loads. | Events is specific to Cvent and Volumes to Databricks — each maps to any object or custom field on the other side. | |
| 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. | SQL Warehouses The compute endpoint a sync connects to for query execution. | Contacts is specific to Cvent and SQL Warehouses to Databricks — each maps to any object or custom field on the other side. | |
| 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. | Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Attendees and Registrations is specific to Cvent and Change Data Feed to Databricks — 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.
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 Databricks as a row-level write, with types converted between the two schemas.
DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.
DeliveryEach detected change is written to Cvent through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cvent–Databricks connection.
Changes in Cvent or Databricks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cvent or Databricks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cvent or Databricks record.
Track your Cvent ⇄ Databricks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cvent and Databricks.
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 Cvent and Databricks 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 Cvent and Databricks 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 Cvent and Databricks: authenticate both systems, choose the objects to sync (such as Cvent's Exhibitors and Surveys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Cvent and Databricks: Suppression and consent stay aligned; Enrich records with warehouse context; Activate a modeled audience. 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 Databricks holds the current state for auditing.
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. Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. Cvent: Rate limits are tiered (Free at 1,000 calls/day up to Premium at 500,000 calls/day) and enforced both per-second and as a daily quota that resets at midnight UTC, returning 429 on exhaustion. Stacksync's field mapping accounts for these differences between Cvent and Databricks 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 Cvent and Databricks records are not retained after a sync operation.
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 510 integrations available for Cvent and Databricks.