Two-way sync
Changes in Citus or Cvent instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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 Citus, hard to get into campaigns without manual exports.
Stacksync mirrors Budgets, Events, Contacts, Attendees and Registrations from Cvent into Local tables, Schemas, Views, Sequences in Citus 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 Citus, 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.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Contacts, leads, audiences, and campaign metrics from Cvent live in Citus as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in Citus 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.
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.
| Citus objects | Cvent objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | 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. | Schemas is specific to Citus and Contacts to Cvent — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | 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. | Views is specific to Citus and Attendees and Registrations to Cvent — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Sessions Agenda items within an event; listed or created through the API and synced so session-level attendance feeds reporting tables. | Sequences is specific to Citus and Sessions to Cvent — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large 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. | Distributed tables is specific to Citus and Speakers to Cvent — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Exhibitors Exhibitor and sponsor records; synced to a CRM or database to track booth, sponsorship, and lead-capture data per event. | Reference tables is specific to Citus and Exhibitors to Cvent — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Surveys Survey definitions and responses; read out to a warehouse for post-event feedback analysis alongside attendance data. | Local tables is specific to Citus and Surveys 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 Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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 Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Cvent connection.
Changes in Citus or Cvent instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus 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 Citus or Cvent record.
Track your Citus ⇄ Cvent sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus 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 Citus 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 Citus 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 Citus and Cvent: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Citus side: Local tables, Schemas, Views, Sequences, plus custom fields where Citus exposes them. On the Cvent side: Budgets, Events, Contacts, Attendees and Registrations. 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 Citus and Cvent: Keep contact attributes consistent; Query Cvent like a database; Build audiences from your own data. Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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.
Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. 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 Citus and Cvent without custom code.
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 392 integrations available for Citus and Cvent.