Two-way sync
Changes in Jms or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Keep Jms and Zendesk in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Zendesk is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jms is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Tickets, Tickets Comments, Users, Organizations in Zendesk with TextMessage, MapMessage, BytesMessage, Durable Subscription in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Records created or changed in Zendesk publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Zendesk stay matched to the users in Jms, so access, provisioning, and org changes propagate instead of being keyed in twice.
Open items, throughput, and error counts from Zendesk replicate into Jms, so the operational view reflects what is actually happening in the business.
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.
| Jms objects | Zendesk objects | How this pairing syncs | |
|---|---|---|---|
| TextMessage Most common body type, carrying a String that is usually JSON or XML. Deserialized into rows/records on read and serialized from source records on write. | Ticket Forms Synced with incremental and full sync per the Stacksync docs. | TextMessage is specific to Jms and Ticket Forms to Zendesk — each maps to any object or custom field on the other side. | |
| MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. | Tickets The central work object; synced to databases for SLA and volume reporting or mirrored into engineering tools. | MapMessage is specific to Jms and Tickets to Zendesk — each maps to any object or custom field on the other side. | |
| BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. | Tickets Comments Synced with incremental and full sync per the Stacksync docs. | BytesMessage is specific to Jms and Tickets Comments to Zendesk — each maps to any object or custom field on the other side. | |
| Durable Subscription Named topic subscription that retains messages while the consumer is offline, so a sync that disconnects does not miss events published in the meantime. | Users End users and agents; matched to CRM contacts to keep requester data consistent. | Durable Subscription is specific to Jms and Users to Zendesk — each maps to any object or custom field on the other side. | |
| Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. | Organizations Company groupings for users; typically kept aligned with CRM accounts. | Message headers and properties is specific to Jms and Organizations to Zendesk — each maps to any object or custom field on the other side. | |
| Dead Letter Queue Provider-managed destination (e.g. ActiveMQ.DLQ, IBM MQ dead-letter queue) where messages exceeding redelivery limits land; read to reconcile failed deliveries. | Attachments Synced with incremental and full sync per the Stacksync docs. | Dead Letter Queue is specific to Jms and Attachments to Zendesk — 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.
DetectionJms notifies Stacksync of record changes through webhook events. Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling.
DeliveryEach detected change is written to Zendesk through its API, with automatic retries and rate-limit backoff.
DetectionZendesk notifies Stacksync of record changes through webhook events. Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers.
DeliveryEach detected change is written to Jms through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jms–Zendesk connection.
Changes in Jms or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jms or Zendesk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jms or Zendesk record.
Track your Jms ⇄ Zendesk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jms and Zendesk.
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 Jms and Zendesk 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 Jms and Zendesk 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 Jms and Zendesk: authenticate both systems, choose the objects to sync (such as Jms's TextMessage and MapMessage), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Jms: Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling. Message selectors (an SQL-92 subset over headers/properties) filter delivery. There is no modified-date polling or CDC replay, and queue consumption is destructive. On Zendesk: Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zendesk side: Tickets, Tickets Comments, Users, Organizations, plus custom fields where Zendesk exposes them. On the Jms side: TextMessage, MapMessage, BytesMessage, Durable Subscription. 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 Jms and Zendesk: Where Jms moves messages between services: activity lands on the stream; Where Jms is the directory or identity source: one set of users; Where Jms watches operations: live volumes for visibility. Records created or changed in Zendesk publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.
Jms: JMS / Jakarta Messaging API (classic API and simplified JMSContext) over provider transports such as OpenWire, AMQP, IBM MQ, or STOMP. Authentication: Username/password credentials passed to ConnectionFactory.createConnection(); ConnectionFactory and Destinations resolved via JNDI. Transport security (TLS) and stronger auth (SASL, JAAS, client certificates) are broker-implementation-specific. Zendesk: REST API. Authentication: OAuth app authorization: enter your Zendesk subdomain (from {sub_domain_name}.zendesk.com) in Stacksync Connections and click "Authorize App". Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Jms and Zendesk.