Two-way sync
Changes in AWS Aurora MySQL or Cvent instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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.
Cvent 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 MySQL, hard to get into campaigns without manual exports.
Stacksync mirrors Attendees and Registrations, Sessions, Speakers, Exhibitors from Cvent into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL 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 MySQL, from usage, orders, or account status, sync back into Cvent to drive campaigns and ads, with Cvent 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 Cvent live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in AWS Aurora MySQL from product usage, orders, or account status sync into Cvent as lists or audiences, so campaigns and ads target the people your data says they should.
Opens, clicks, sends, RSVPs, or ad activity from Cvent land in AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Cvent objects | How this pairing syncs | |
|---|---|---|---|
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | 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. | Databases (schemas) is specific to AWS Aurora MySQL and Events to Cvent — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | 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. | Tables is specific to AWS Aurora MySQL and Contacts to Cvent — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | 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. | Rows is specific to AWS Aurora MySQL and Attendees and Registrations to Cvent — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Sessions Agenda items within an event; listed or created through the API and synced so session-level attendance feeds reporting tables. | Columns is specific to AWS Aurora MySQL and Sessions to Cvent — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Speakers Speaker records tied to an event; synced two-way with a speaker database or CMS, with an updatedDate on each record for incremental pulls. | Primary keys and indexes is specific to AWS Aurora MySQL and Speakers to Cvent — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Exhibitors Exhibitor and sponsor records; synced to a CRM or database to track booth, sponsorship, and lead-capture data per event. | Views is specific to AWS Aurora MySQL and Exhibitors 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 AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
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 AWS Aurora MySQL 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 MySQL–Cvent connection.
Changes in AWS Aurora MySQL or Cvent instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Cvent record.
Track your AWS Aurora MySQL ⇄ Cvent sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL and Cvent: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Databases (schemas) and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Cvent connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Cvent integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Cvent. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. 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 AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows, plus custom fields where AWS Aurora MySQL exposes them. On the Cvent side: Attendees and Registrations, Sessions, Speakers, Exhibitors. 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.
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 MySQL and Cvent.