Two-way sync
Changes in Citus or Gorgias instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Gorgias in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Citus, where it can be queried and joined like everything else.
Stacksync mirrors Events, Custom fields, Tickets, Messages from Gorgias into Views, Sequences, Distributed tables, Reference tables in Citus with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gorgias with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Back-office apps read and write the synced tables; Stacksync handles the Gorgias API, limits, and retries.
Field and stage updates in Gorgias arrive as row changes in Citus, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Gorgias become tables in Citus you can join with application data directly.
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 | Gorgias objects | How this pairing syncs | |
|---|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Events Activity records useful for auditing what happened on a ticket. | Reference tables is specific to Citus and Events to Gorgias — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Custom fields Extend tickets with brand-specific attributes. | Local tables is specific to Citus and Custom fields to Gorgias — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Tickets The central support object, aggregating a conversation across channels. | Schemas is specific to Citus and Tickets to Gorgias — 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. | Messages Individual inbound and outbound messages attached to a ticket. | Views is specific to Citus and Messages to Gorgias — 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. | Customers Unified shopper profiles that merge identities across connected stores. | Sequences is specific to Citus and Customers to Gorgias — 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. | Users (agents) Support staff records used for assignment and workload reporting. | Distributed tables is specific to Citus and Users (agents) to Gorgias — 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 Gorgias through its API, with automatic retries and rate-limit backoff.
DetectionGorgias notifies Stacksync of record changes through webhook events. Webhooks for ticket and message events, supplemented by polling with updated-at cursors.
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–Gorgias connection.
Changes in Citus or Gorgias instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Gorgias 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 Gorgias record.
Track your Citus ⇄ Gorgias sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Gorgias.
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 Gorgias 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 Gorgias 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 Gorgias: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). Gorgias: REST API. Authentication: API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps. Stacksync manages authentication, retries, and rate limits on both sides.
Gorgias: Tickets aggregate messages from email, live chat, SMS, and social channels into a single object, so one synced record covers the full conversation. Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. Stacksync's field mapping accounts for these differences between Citus and Gorgias 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 Citus and Gorgias records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Gorgias connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Gorgias integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and Gorgias. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 435 integrations available for Citus and Gorgias.