Two-way sync
Changes in Gorgias or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Keep Gorgias and Jdbc 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 Jdbc, where it can be queried and joined like everything else.
Stacksync mirrors Messages, Customers, Users (agents), Tags from Gorgias into Schemas & catalogs, Stored procedures & functions, Sequences, Tables in Jdbc 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.
Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Gorgias, giving go-to-market teams live product context.
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 Jdbc, ready to drive jobs and notifications.
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.
| Gorgias objects | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| Tags Categorize tickets for routing and downstream analytics. | Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Tags is specific to Gorgias and Columns to Jdbc — each maps to any object or custom field on the other side. | |
| Satisfaction surveys CSAT responses synced out for support quality reporting. | Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | Satisfaction surveys is specific to Gorgias and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side. | |
| Events Activity records useful for auditing what happened on a ticket. | Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Events is specific to Gorgias and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side. | |
| Custom fields Extend tickets with brand-specific attributes. | Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Custom fields is specific to Gorgias and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side. | |
| Tickets The central support object, aggregating a conversation across channels. | Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Tickets is specific to Gorgias and Sequences to Jdbc — each maps to any object or custom field on the other side. | |
| Messages Individual inbound and outbound messages attached to a ticket. | Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Messages is specific to Gorgias and Tables to Jdbc — 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.
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 Jdbc as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Gorgias through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gorgias–Jdbc connection.
Changes in Gorgias or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gorgias or Jdbc data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gorgias or Jdbc record.
Track your Gorgias ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gorgias and Jdbc.
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 Gorgias and Jdbc 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 Gorgias and Jdbc 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 Gorgias and Jdbc: authenticate both systems, choose the objects to sync (such as Gorgias's Tags and Satisfaction surveys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Gorgias side: Messages, Customers, Users (agents), Tags, plus custom fields where Gorgias exposes them. On the Jdbc side: Schemas & catalogs, Stored procedures & functions, Sequences, Tables. 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 Gorgias and Jdbc: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Gorgias, giving go-to-market teams live product context.
Gorgias: REST API. Authentication: API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps. Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. 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. Jdbc: Authentication is a database user's username and password in the JDBC connection, usually over TLS/SSL; some drivers add Kerberos or cloud IAM-token auth, but that is driver-specific. Stacksync's field mapping accounts for these differences between Gorgias and Jdbc 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 434 integrations available for Gorgias and Jdbc.