Two-way sync
Changes in AWS Aurora PostgreSQL or Cvent instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 PostgreSQL, hard to get into campaigns without manual exports.
Stacksync mirrors Surveys, Budgets, Events, Contacts from Cvent into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL 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 PostgreSQL, 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 PostgreSQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL objects | Cvent objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | Tables is specific to AWS Aurora PostgreSQL and Events to Cvent — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | 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. | Rows is specific to AWS Aurora PostgreSQL and Contacts to Cvent — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | 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. | Columns is specific to AWS Aurora PostgreSQL and Attendees and Registrations to Cvent — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Sessions Agenda items within an event; listed or created through the API and synced so session-level attendance feeds reporting tables. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Sessions to Cvent — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | 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. | Views and materialized views is specific to AWS Aurora PostgreSQL and Speakers to Cvent — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Exhibitors Exhibitor and sponsor records; synced to a CRM or database to track booth, sponsorship, and lead-capture data per event. | Foreign keys is specific to AWS Aurora PostgreSQL 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 PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL–Cvent connection.
Changes in AWS Aurora PostgreSQL or Cvent instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Cvent record.
Track your AWS Aurora PostgreSQL ⇄ Cvent sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and Cvent: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Rows), 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 AWS Aurora PostgreSQL and Cvent: Query Cvent like a database; Build audiences from your own data; Engagement and results next to the customer. Contacts, leads, audiences, and campaign metrics from Cvent live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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.
AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. 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 AWS Aurora PostgreSQL and Cvent 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 AWS Aurora PostgreSQL and Cvent 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 412 integrations available for AWS Aurora PostgreSQL and Cvent.